Lambda jobs

Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT Seattle, Washington, USA Application deadline: Jun 16, 2026 This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. This role is part of the AI Velocity Team - a service-specific approach that assigns dedicated advisory and hands-on development resources directly to customers to achieve production-ready outcomes in weeks instead of months. As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI: Model Selection - Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements. Prompt Configuration - Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents. Tool Configuration - Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge

System Verification/Validation Engineer , (emulation/silicon) Haifa, Haifa, ISR Annapurna Labs is looking for talented and experienced engineers to join the System Verification team and help solve and technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of state-of-the-art products within a disruptive system architecture. You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion

IT App Dev Engr III - AMZ9689662 Seattle, Washington, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: IT App Dev Engr III Job Location: Seattle, Washington Job Number: AMZ9689662 Position Responsibilities: Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability. Design and implement the next generation of financial solutions based on a wide array of technologies. Manage AWS resources including EC2, RDS, Redshift, Stepfunctions, EMR, Lambda etc and integrate them with 3rd party applications like IBM Planning Analytics. Build and deliver high quality data architecture and pipelines to support customer reporting needs. Build monitoring dashboards and creation of critical alarms for the system. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability. Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes. Prepare runbooks, methods of procedures, tutorials, training videos on best practices for the team. Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture. 40 hours / week, 8:00am-5:00pm, Salary Range: $149,240/year to $183,300/year. Amazon is a total compensation company.

Embedded Software Engineer, Annapurna Tel Aviv-Yafo, Tel Aviv, ISR AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Join the Amazon Web Services family and take part in the development of next generation products that will define the future of the world's leading cloud. Annapurna Labs, an Amazon company, is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. The Data Path HAL team is looking for an Embedded Software Engineer (Junior), to join us in building the next generation of networking products. You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, fast-paced environment. Working in both pre-silicon and post-silicon activities defines the Data Path HAL team as a leading team in AWS software development. In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey. You will have the opportunity to work on the heart of the network engine, at

Sr. Applied AI Solutions Architect - Public Sector, Amazon Connect Arlington, Virginia, USA This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three critical pillars of agentic AI: Model Selection - Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements. Prompt Configuration - Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents. Tool Configuration - Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge bases) that agentic AI systems use to take actions on behalf of customers and agents - including configuring MCP (Model Context Protocol) servers for standardized tool discovery and invocation, and enabling A2A (Agent-to-Agent) communication patterns for multi-agent orchestration across enterprise systems.

Data Scientist - II, Alexa Sensitive Content Intelligence Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. We are looking for a passionate, talented, and inventive Data Scientist-II to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring good learning and generative models knowledge. You will be working with a team of exceptional Data Scientists working in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with other data scientists while understanding the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other data scientists and applied scientists to design and implement principled strategies for

System Admin/Engr II - AMZ13432.7 Seattle, Washington, USA Employer: Amazon Data Services, Inc. Position: System Admin/Engr II - AMZ13432.7 Location: Seattle, WA Multiple Positions Available: 1. Create new technology components needed as part of a service or system implementation. 2. Build software solutions to manage infrastructure needed to operate our system at large scale. 3. Utilize AWS technologies such as S3, SQS, SNS, Step Function Workflows, and Lambda to create solutions for data center problems. 4. Design and implement scalable and fault-tolerant architectures using AWS services. 5. Work with databases including Redshift and DynamoDB. 6. Troubleshoot and debug Java, Ruby, JavaScript, Python-based applications to identify and resolve issue 7. Continuously collaborate with teams and identify opportunities to automate away manual processes. 8. Design and implement automated workflows and processes to streamline system operations and reduce manual intervention. 9. Automate repeated tasks in Standard Operating Procedures (SOPs) and runbooks. 10. Implement monitoring and alerting solutions to proactively detect and address system anomalies. 11. Analyze logs, metrics, and other diagnostic data to pinpoint root causes of problems. 12. Develop and maintain comprehensive runbooks for ticket resolution by use case. 13. Collaborate with development teams to investigate and enhance runbooks for tickets that cannot be resolved using existing steps. 14. Provide incident response support for various types of tickets (e.g., Large Scale Events). 15. Perform periodic Change Management (MCM) executions for onboarded services, ensuring MCM templates remain current. 16. Track progress of Continuous Deployment (CD) implementation for onboarded services and support development teams.

Principal QA Architect (Secure Cloud Access) Office - Israel - CyberArk Be'er Sheva posted: Posted 7 Days Ago

Werkstudent im Bereich Engineering - Softwarebibliotheken (m/w/d) Berlin posted: Posted 30+ Days Ago

Sr. Data Scientist, Amazon Pay Data Products Bengaluru, Karnataka, IND Amazon Pay strives to be Earth's most customer-centric payments service. Our mission is to serve customers and merchant partners with the most trusted, friction-less and rewarding payment solutions for their needs on and off Amazon. We are seeking an exceptional Data Scientist III to drive innovation in machine learning and artificial intelligence solutions while leading high-impact initiatives across the organization. Key job responsibilities Technical Excellence Lead end-to-end machine learning projects using PyTorch, AWS SageMaker, and other leading ML frameworks Design and implement complex statistical models and deep learning solutions Develop and optimize MLOps pipelines for model training, evaluation, and deployment Experience with modern LLM frameworks and Generative AI applications Expertise in Python, R, and related data science libraries MLOps & Development Build automated ML pipelines using AWS services (CodePipeline, Lambda, Step Functions) Implement CI/CD practices for ML model deployment and monitoring Create containerized solutions using Docker for scalable model deployment Experience with model optimization and hyperparameter tuning using tools like Optuna Integrate ML solutions with monitoring tools like MLflow Business Impact & Leadership Partner with stakeholders to translate business problems into technical solutions Design and develop business intelligence applications for real-time insights Lead technical initiatives and mentor junior data scientists Drive cross-functional collaboration to deliver innovative solutions Communicate complex technical concepts to non-technical audiences About the team The Amazon Pay Data Products team is a central unit that builds and maintains data products supporting Amazon Pay's growth across multiple markets.

System Development Engineer III - AMZ9774067 Seattle, Washington, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON ADVERTISING LLC Offered Position: System Development Engineer III Job Location: Seattle, Washington Job Number: AMZ9774067 Position Responsibilities: Participate in the full lifecycle of day-to-day development activities, including prioritization, task breakdowns, writing technical documents, design and code reviews, code deployment, and operations. Contribute to project priorities, establish milestones, drive schedules to meet a deadline, capture and present KPI metrics to evaluate progress of project. Be a technical lead on the team and work with internal and external teams to successfully deliver cross-functional projects that are of a high-quality (e.g., on-time, on-budget, maintainable, low-defects, etc.). Design and operate scalable Salesforce backend including data models, Apex like triggers, batch/queueable/async pattern using reusable engineering frameworks, and robust testing with source-driven CI/CD pipelines. Build intuitive Lightning User interface with Lightning Web Components (LWC) using HTML, CSS (SLDS), and modern JavaScript, ensuring accessibility and responsive design. Integrate Salesforce with internal and external systems via secure APIs (REST, SOAP, GraphQL) using Named Credentials, resilient error handling, and monitoring. Architect end-to-end solutions - including AWS components such as Lambda, API Gateway, and EventBridge schedulers triggered by Salesforce events - balancing performance, reliability, cost, and long-term maintainability. 40 hours / week, 8:00am-5:00pm, Salary Range $151,200/year to $204,600/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial,

Senior Cloud Operations Engineer 2 Locations posted: Posted 30+ Days Ago

Sr. Software Development Engineer, ASP Screen Experience Vancouver, British Columbia, CAN Lead the technical strategy and full-stack delivery of enterprise device experiences for Alexa Smart Properties, architecting customizable screen and conversational interfaces on Echo devices that serve thousands of hotels and senior living communities worldwide. You'll define technology strategy in ambiguous spaces, coordinate across 8+ partner teams, and build the platform that enables ASP's enterprise customers to deploy branded, scalable Alexa experiences. Key job responsibilities - Own team-level architecture for enterprise device experiences, providing system-wide design guidance across device-side native apps (Kotlin, C++), cloud services (Lambda, DynamoDB, S3), WebView integrations, and web applications (React, TypeScript) - Lead cross-team technical initiatives spanning Alexa teams to deliver end-to-end enterprise screen and conversational experiences - Drive technical roadmap and strategy, making trade-offs between immediate customer delivery and long-term platform extensibility across hospitality and senior living verticals and new device types - Design and implement critical path code across the full stack while reviewing and guiding team implementations - Influence partner team priorities by clearly articulating ASP's enterprise requirements and driving alignment on API changes, device OS features, release timelines, and performance improvements - Own operational excellence including metrics, alarms, incident response, and systemic improvements that reduce failures and improve enterprise customer reliability - Establish technical standards for cross-OS compatibility, offline capabilities, cloud-to-device communication patterns, accessibility compliance, and visual interaction best practices - Mentor engineers across the stack, raise the bar through design reviews and code reviews, and scale your impact by enabling teammates

Senior Cloud Solutions Architect United States - California - Santa Clara posted: Posted 15 Days Ago

Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Hardware Engineering Services Cupertino, California, USA Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities As

Data Engineer I Bengaluru, Karnataka, IND FBA is seeking a Data Engineer to help build AI-native data infrastructure that embeds intelligence as a foundational feature. If you enjoy innovating and want to contribute to an industry-changing business while supporting next-generation intelligent data platforms, this role is for you. Core Responsibilities: AI-Native Infrastructure & Real-Time Processing Support the development of AI-native infrastructure for real-time data processing supporting AI/ML inference, training, and continuous learning Contribute to building semantic layers and knowledge graphs that enable intelligent query routing and context-aware data access Assist in developing infrastructure components for agentic AI systems with multi-agent orchestration Implement GenAI-powered data quality checks, entity resolution pipelines, and metadata management workflows Data-as-a-Product Delivery Contribute to end-to-end data product delivery from ingestion to consumption Support data products with clear SLAs, quality metrics, and customer satisfaction measures Help build self-service platforms with embedded governance, lineage, and discovery Implement data contracts and APIs for reliable, versioned data consumption AWS Infrastructure & Pipeline Engineering Work with AWS resources: EC2, Lambda, S3, Redshift, Kinesis, EMR, SageMaker, Bedrock, Neptune Build and maintain pipelines supporting analysts, data scientists, and AI agents Implement CDC and event-driven architectures for real-time data availability Deploy infrastructure-as-code using CDK/Terraform Required Qualifications 3+ years in data engineering with cloud-native architectures Working knowledge of AWS services (Redshift, S3, Glue, Kinesis, EMR) Experience with real-time streaming technologies (Kafka, Kinesis, or Flink) Exposure to AI/ML infrastructure (SageMaker, Bedrock) Proficiency in Python, SQL, and familiarity with infrastructure-as-code Preferred Qualifications Knowledge graphs (Neptune, Neo4j) and semantic

Sr. Delivery Consultant, Customer Experience, AWS Tokyo, JPN AWS グローバルサービスには、お客様のクラウド環境の設計、構築、運用、セキュリティ確保を支援するAWS全体のエキスパートが在籍しています。お客様はAWSプロフェッショナルサービスでイノベーションを実現し、AWSトレーニングと認定で技能を向上させ、AWSサポートとマネージドサービスで最適化を図り、AWSセキュリティ保証サービスで目標を達成します。当社の専門知識と最新技術には、AWSパートナー、AWSソブリンクラウド、AWS国際製品、ジェネレーティブAIイノベーションセンターが含まれます。数十カ国に及ぶ技術専門家による多様なチームに参加し、お客様がAWSクラウドでより多くを達成できるよう支援していただきます。 アマゾン ウェブ サービス プロフェッショナルサービス（ProServe）チームでは、熟練したデリバリーコンサルタントを募集しています。この役割では、お客様と緊密に協力して、技術要件とビジネス目標を満たすAWSソリューションの設計、実装、管理を行っていただきます。プロジェクトのライフサイクル全体を通じて技術的な専門知識とベストプラクティスを提供し、お客様のクラウドジャーニーにおける成功を推進する重要な役割を担っていただきます。 デリバリーコンサルタントとして、AWS製品とサービスに関する深い理解を持ち、各お客様の特定のニーズに合わせた複雑でスケーラブルかつセキュアなソリューションのアーキテクチャ設計に精通している必要があります。ステークホルダーと緊密に協力して要件を収集し、現在のインフラストラクチャを評価し、AWSへの効果的な移行戦略を提案していただきます。お客様の信頼できるアドバイザーとして、業界のトレンド、新興技術、革新的なソリューションに関するガイダンスを提供し、実装プロセスを主導して、ベストプラクティスの遵守、パフォーマンスの最適化、プロジェクト全体を通じたリスク管理を担当していただきます。 AWSプロフェッショナルサービス組織は、お客様がAWSクラウドを使用して望むビジネス成果を実現できるよう支援するグローバルな専門家チームです。私たちは、お客様のチームやAWSパートナーネットワーク（APN）と協力して、エンタープライズクラウドコンピューティングイニシアチブを実行します。当チームは、エンタープライズクラウド導入に関連する特定の成果の達成を支援する様々なオファリングを通じてサポートを提供します。また、さまざまなソリューション、テクノロジー、業界をカバーするグローバルスペシャリティプラクティスを通じて、重点的なガイダンスも提供しています。 Key job responsibilities - お客様のニーズに合わせた複雑でスケーラブルかつセキュアなAWSソリューションの設計と実装 - プロジェクト提供全体を通じた技術的なガイダンスとトラブルシューティングサポートの提供 - ステークホルダーと協力して要件を収集し、効果的な移行戦略を提案 - 業界のトレンドと新興技術に関するお客様の信頼できるアドバイザーとしての役割 - メンタリング、トレーニング、再利用可能な成果物の作成を通じた組織内での知識共有 About the team 多様な経験 Amazonは多様な経験を重視しています。職務内容に記載されている推奨される資格やスキルのすべてを満たしていない場合でも、応募をお待ちしています。キャリアが始まったばかりの方、従来の経歴とは異なる道を歩んできた方、あるいは異なる形での経験をお持ちの方も、どうぞご応募ください。 なぜAWSか Amazon Web Services (AWS)は、世界で最も包括的かつ広く採用されているクラウドプラットフォームです。私たちはクラウドコンピューティングの先駆者として、絶え間なくイノベーションを続けています。そのため、最も成功したスタートアップから世界のフォーチュン500企業まで、多くのお客様が自社のビジネスを支えるために当社の充実した製品とサービスを信頼しています。 ワークライフバランス 私たちはワークライフハーモニーを重視しています。仕事での成功は、家庭での犠牲の上に成り立つべきではありません。そのため、私たちは働く文化の一部として柔軟性を追求しています。職場と家庭の両方でサポートを受けられれば、達成できないことはありません。 インクルーシブなチーム文化 AWSは好奇心とつながりを大切にしています。従業員主導および会社が支援するアフィニティグループは、インクルージョンを推進し、私たち一人一人のユニークな個性を誇りに思えるよう支援しています。インクルージョンイベントを通じて、より強力で協力的なチームを育成しています。私たちの継続的なイノベーションは、チームがあらゆる活動にもたらす大胆なアイデア、新鮮な視点、情熱的な声によって推進されています。 メンターシップとキャリア成長 私たちは、地球上で最も優れた雇用主になることを目指し、常にパフォーマンスバーを上げ続けています。そのため、より優れたプロフェッショナルへと成長できるよう、知識共有、メンターシップ、その他のキャリア向上のためのリソースが豊富に用意されています。 Basic Qualifications: - 日本語が流暢、英語がビジネスレベル - コンタクトセンターテクノロジーアーキテクト、エンタープライズITアーキテクト、またはシニアコンタクトセンター開発者として、Avaya、Cisco、Genesys、Verint、NICE、Salesforce等の主要なコンタクトセンターテクノロジープラットフォームやアプリケーションでの実務経験が5年以上 - ハンズオンの技術実践者および個人貢献者としての経験 - 大規模なコンタクトセンターソリューションの設計、開発、展開における実践的な経験 Preferred Qualifications: - クラウドまたはオンプレミス環境でのコールセンター／コラボレーション／テレフォニープラットフォームの構築経験5年以上、特にCRM/WFMプラットフォーム向けのアプリケーション統合機能の構築経験 - Amazon Connectの機能、メリット、必要な展開スキルに関する知識。エンタープライズ環境におけるコンタクトセンターまたは通信インフラの設計、実装、運用の責任経験 - エンタープライズITコールセンターとインフラストラクチャに関連する分野でのIT業界における思想的リーダーシップの実績 - AI搭載カスタマーサービスソリューションの実装および最適化の経験 - 自然言語理解（NLU）、自然言語処理（NLP）、プロンプトエンジニアリング、大規模言語モデルの実装、チャットボット開発と最適化、AI/MLモデルのトレーニングとファインチューニングを含む、コンタクトセンターアプリケーションにおけるAI/ML技術の経験 - Amazon Lex、Lambda、Kinesis、Dynamo DB、BedrockおよびサードパーティのAIサービスとの複雑な統合を含むサーバーレス開発経験 - コンタクトセンタープラットフォーム、CRM、WFMの統合に関するソフトウェア開発／DevOps経験 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Senior AI/ML Engineer 2 Locations posted: Posted 30+ Days Ago

Systems Development Engineer, Tech SC Product & Portfolio Engineering Austin, Texas, USA Ready to solve challenging problems at global scale? Join Amazon's Tech Supply Chain team as a Systems Development Engineer to build innovative Gen-AI powered solutions for critical supply chain systems & problems. Design and implement scalable, distributed systems supporting Amazon's global supply chain operations. Write high-quality, production-ready code for unified platforms consolidating multiple ordering channels, real-time validation services, and workflow automation systems. Build data ingestion engines, financial tracking services, and role-based access control frameworks. Own end-to-end system design-from defining APIs and data models to selecting appropriate AWS services and ensuring operational excellence. Contribute to technical decisions balancing system reliability, performance, and feature velocity while collaborating with cross-functional teams. Key job responsibilities System Design & Development - Design and build distributed micro-services handling millions of transactions daily with 99.99% uptime SLAs - Develop and implement unified platforms consolidating legacy systems into single customer interfaces - Write production-ready code for real-time validation services with sub-second response times - Build scalable data ingestion engines supporting multiple formats with guardrail-based validation - Implement workflow automation systems with configurable approval routing and SLA tracking - Optimize database queries and caching strategies ensuring sub-100ms response times for critical paths - Develop event-driven solutions using AWS services (Lambda, API Gateway, DynamoDB, S3, SQS, SNS) Coding & Technical Contribution - Write high-quality, well-tested code for platform components and integration patterns - Participate in code reviews, providing constructive feedback and maintaining code quality standards - Contribute to

Principal Applied Scientist, Conversational Assistant Modeling & Learning Bellevue, Washington, USA Alexa AI is looking for a Principal Applied Scientist to lead the science behind Alexa+, Amazon's LLM-powered conversational assistant. You will own the technical direction for key initiatives spanning large language model fine-tuning, alignment, agentic reasoning, and evaluation - directly shaping the experience for hundreds of millions of customers worldwide. As a Principal Scientist, you are a hands-on technical leader. You define research directions, design and run rigorous experiments, and ensure that research translates into production systems at scale. You decompose ambiguous, hard problems into clear solutions. Your code, models, and documents are exemplary and frequently referenced across the organization. You amplify your impact beyond your own work. You lead scientific reviews, scrutinize experimental design and modeling assumptions, and align teams toward coherent strategies. You mentor senior scientists, contribute significantly to hiring, and keep the broader scientific community current on state-of-the-art techniques. You bring business and industry context to technical decisions and can credibly present to executive leadership. Key job responsibilities Define and drive the science roadmap for conversational AI capabilities powered by large language models Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment Architect agentic systems - multi-step reasoning, tool use, planning, and orchestration - that work reliably at scale Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science

Sr. Applied Scientist, Alexa Excellence AI Ops, Alexa Excellence AI Ops Chennai, Tamil Nadu, IND We are seeking a Senior Applied Scientist to join the Alexa Availability team within Alexa Excellence. This role leads the research and development of machine learning and statistical models that power Alexa's reliability at massive scale - serving hundreds of millions of customers globally. The ideal candidate will tackle complex, ambiguous problems spanning time series multivariate modeling, statistical anomaly detection, LLM-based operational intelligence, and adaptive threshold systems. They will design production-grade ML solutions, establish rigorous evaluation frameworks, and ensure AI systems are grounded, reliable, and free from systematic bias - leveraging techniques such as RAG, confidence scoring, knowledge graph integration, and counterfactual testing. This scientist will partner with engineers, product managers, and operations leaders to translate scientific innovation into production systems that directly impact Alexa's availability worldwide. They will drive the scientific agenda for the team, mentor fellow scientists, and influence the broader Alexa Excellence organization through technical leadership and cross-team collaboration. Key Focus Areas: Anomaly detection and predictive failure modeling Cross-service correlation and LLM-driven operational intelligence Production ML at the intersection of large-scale distributed systems and applied science Model reliability, hallucination mitigation, and grounding for operational AI Key job responsibilities As a Senior Applied Scientist on the Alexa Availability team, you will lead the research and development of machine learning and statistical models that power Alexa's reliability at scale. You will work on some of the most complex and ambiguous problems in the space

Cloud Operations Architect / Architecte des opérations cloud, EMEA, France Courbevoie, Ile-de-France, FRA (English bellow) Français: Souhaitez-vous rejoindre l'une des organisations dont la croissance est la plus rapide au sein d'Amazon Web Services (AWS) et aider des clients de toute taille et de tous les secteurs d'activité, dont l'automobile, les services financiers, l'énergie, les mégadonnées et davantage, à bénéficier de la meilleure valeur et du meilleur service de la part d'AWS ? AWS Enterprise Support cherche un Architecte des opérations cloud pour soutenir l'esprit innovateur, créatif et transformateur de nos clients dans tous les domaines technologiques, notamment le calcul, le stockage, les bases de données, les services liés aux applications, la mise en réseau, l'informatique sans serveur, et plus encore. Il ne s'agit pas d'un rôle commercial, mais d'une occasion d'être le principal conseiller technique, ainsi que la « voix du client », auprès d'organisations allant des entreprises en démarrage jusqu'aux compagnies faisant partie du Fortune 500. À titre d'Architecte des opérations cloud, vous contribuerez à l'élaboration et à l'exécution de stratégies visant à encourager notre clientèle à adopter et utiliser les services AWS, notamment EC2, S3, les bases de données DynamoDB et RDS, Lambda, CloudFront CDN, IoT et plusieurs autres encore. Votre savoir-faire technique et vos aptitudes envers la clientèle vous permettront de représenter efficacement AWS dans l'environnement des clients, ainsi que mener des discussions avec les cadres supérieurs concernant les incidents, les compromis, l'assistance et la gestion des risques. Vous ferez des recommandations et fournirez des conseils techniques

SDE II, AWS Invoicing Vancouver, British Columbia, CAN Come join a creative team pursuing some of the hardest scalability, performance, and computing challenges in AWS. Join the excitement of building new customer facing capabilities from the ground up and turning customer needs into elegant, user-centered designs. Our team's vision is to be the world's leading provider of computing insight, where customers can understand, control and optimize usage of products. Because we sit at the nexus of all services and interact directly with end-customers, we build relationships with teams across to ensure that we offer a secure and reliable customer experience. We take inputs from these services and merge them with the millions of events every second to produce actionable insight to our customers. Providing a platform to support AWS's expanding business is a complex architectural challenge, and accurate cost and usage information is a critical piece. Enterprise-level customers make large dollar-value decisions based on the timeliness, accuracy, and detail of the data provided by our products. You will take on architectural challenges in making billions of usage records available for various customers and their use cases. You will be empowered to think big, invent on behalf of our customers, make judgment calls and find elegant solutions to hard problems. You will have the opportunity to learn and use modern technologies like Kinesis, DynamoDB, S3, Lambda, and more. Additionally, you will build meaningful software that helps to enable our largest customers to be able to evaluate their cost and usage data.

Sr. Machine Learning Engineer, AWS Applied AI Solution Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team. What You'll Do • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance • Establish scalable, efficient, automated