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Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

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Senior AI Developer (Generative & Agentic AI (SAP BTP) Country Australia | Internal Posting Location Sydney We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP is seeking a highly skilled Senior AI Developer to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP). As part of the Customer Engagement & Adoption (CE&A) - Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes. This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment. Key Responsibilities Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures. Translate business and architectural requirements into production-ready AI application components and services. Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios. Implement multi-ag

AI Strategic Partnerships Business Development Austin, United States of America posted: Posted 7 Days Ago

Senior Delivery Consultant - Customer Experience AI Agents, and Conversational AI SGP The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AI-powered customer experience solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices in conversational AI, generative AI, and intelligent automation throughout the project lifecycle. Possessing a deep understanding of AWS AI/ML products and services, as a Senior Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI-powered customer experiences tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current customer experience capabilities, and propose effective strategies for leveraging AI agents, generative AI, and conversational AI to transform their contact center operations. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the design and implementation of AI-powered experiences, ensuring adherence to best practices, optimising performance, implementing safety guardrails, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team

AI & Surge Enablement Lead, EMEA Field Enablement Team, WWFE - EMEA Field Enablement London, England, GBR The AI & Surge Enablement Lead is the single-threaded owner of AI and Surge Inference enablement across the EMEA AGS Sales organisation. This is a high-visibility, high-impact role at the centre of EMEA's #1 strategic priority - equipping our field sales teams with the skills, knowledge, tools, and confidence to lead effective AI conversations with customers and accelerate Surge Inference outcomes at scale. Reporting to the Head of EMEA Enablement, this role owns the strategic enablement relationship with the EMEA AI and Surge Sales Leaders and their organisations, acting as their trusted enablement business partner. The AI & Surge Enablement Lead is responsible for independently developing and driving the AI enablement strategy and program roadmap for EMEA - spanning the full breadth of AI including generative AI, agentic AI, machine learning, AI services, and AI-powered sales tools. They will translate rapidly evolving AI capabilities into practical, field-ready enablement programs that move sellers from foundational AI literacy through to advanced customer engagement and opportunity progression. The successful candidate will be a strategic operator who combines deep domain curiosity with the ability to execute at pace. They will build and own strategic relationships with field leadership and AI stakeholders across EMEA, identify readiness gaps, design and deliver targeted enablement interventions, and measure impact against business outcomes. They will serve as the recognised voice of the field on AI enablement needs and act as the channel

Generative AI Solutions Architect, AWS Global Government Specialist SA Arlington, Virginia, USA Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. Are you excited to help Government customers to leverage generative AI in their missions? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world's AI technology? Come join us! At Amazon Web Services (AWS), we are helping the federal government build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems. Generative AI is rapidly growing in importance. We're seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping government customers understand how AI can make a big difference to their mission. This position requires that the candidate selected be a US Citizen and obtain and maintain an active Top Secret security clearance. Key job responsibilities As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing

Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

Senior Delivery Consultant - AI/ML, AWS Professional Services Mountain View, California, USA Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

Principal Delivery Consultant - AI/ML, ASEAN Professional Services SGP The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior, experienced, and highly motivated business-oriented Principal AI/ML practitioner who possesses a unique balance of executive advisory capability, business acumen, and deep technical expertise across Generative AI, Agentic AI, and Machine Learning, with proven experience leading large-scale cloud-based transformations and implementations. AWS ProServe engages in a wide variety of strategic projects for customers and partners, bringing together AWS customer experience, best practices, and technical expertise to help organizations accelerate innovation and business outcomes. Our team collaborates across the broader AWS organization to provide customers access to product, engineering, service, and training teams, delivering scalable solutions and driving feature innovation across industries. This role will focus on advising enterprise customers on how to transform business and operational outcomes through the adoption of Generative AI, Agentic AI, and Machine Learning on AWS. As a Principal Consultant, you will act as a trusted advisor to senior business and technology leaders, shape AI and cloud transformation strategies, lead complex engagements, guide architecture best practices, and oversee the successful delivery of large-scale AI/ML and GenAI implementations with customers and partners. You will also help drive thought leadership, mentor delivery teams, and influence the evolution of AWS AI/ML professional services capabilities across the region. Key job responsibilities - Advise customer technologists and business leaders on the art of the possible with Generative AI, Agentic AI, and Machine Learning, helping them design scalable AI

Delivery Consultant - AI/ML, WWPS Professional Services Healthcare Life Science New York, New York, USA Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you

Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM San Francisco, California, USA The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. Key job responsibilities Key Responsibilities: • Collaborate with AWS GenAI partners, helping them envision and

Senior BTP AI Expert Consultant (f/m/d) Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. YOUR FUTURE ROLE We are seeking an experienced AI Senior Consultant / Expert (f/m/d) to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions within our SAP technology landscape. You will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems that drive business value across our organization. What you'll do: Stay current with latest AI trends, tools, and frameworks and SAP technology strategy Advise our customers how SAP Business AI will support their processes and organization Support customers on implementation of scalable Generative AI and Agentic AI applications aligned with SAP reference architectures Collaborate with Product Owners to translate functional requirements into robust technical specifications Guide and mentor junior colleagues to foster AI engineering excellence across teams Work independently, set priorities, and resolve complex cross-functional challenges C

Consulting AI & Data Platform Brazil, BR The professional will be responsible for connecting AI strategy, Oracle AIDP, OCI, Generative AI, data platforms, solution architecture, delivery execution, reusable assets, and commercial acceleration. The ideal candidate must be able to engage executives, challenge weak assumptions, translate business problems into AI solutions, lead technical teams without ambiguity, and convert AI demand into qualified opportunities, prototypes, proposals, and scalable delivery programs. This is a senior role requiring strong executive presence, hands-on AI credibility, commercial attitude, and the ability to operate effectively across Presales, Delivery, Product, and customer stakeholders. Responsibilities • Lead the AI strategy for the Oracle AIDP service practice across LATAM, including Generative AI, RAG, agents, analytics, data modernization, and industry use cases. • Act as the senior AI authority in strategic opportunities, executive workshops, engagements, architecture reviews, and proposal defense. • Translate business challenges into AI solutions with clear value hypotheses, KPIs, architecture, delivery scope, risks, and investment rationale. • Lead solution design for Oracle AIDP-based AI architectures, including Autonomous AI Database, Oracle AI Vector Search, OCI Generative AI, Data Integration, Lakehouse, Analytics, governance, and security. • Build reusable AI assets, including playbooks, demo patterns, reference architectures, estimation models, RAG templates, agent blueprints, and implementation accelerators. • Mentor and raise the technical bar for IC1-IC3 engineers, technical leads, project managers, and presales teams. • Support execution from qualification to prototype and commercial proposal, ensuring each engagement creates a credible path. • Establish AI delivery standards for responsible AI, security, privacy, model

Delivery Consultant - AI/ML, AWS Professional Services San Diego, California, USA Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for

Delivery Consultant - AI/ML, WWPS Professional Services Arlington, Virginia, USA Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world's AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading

Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

MuleSoft Consumption Value Delivery Sr Manager, AI & API Solutions United Kingdom - London At Salesforce, we believe AI is only as powerful as the trusted context that supports the actions it takes. MuleSoft is the backbone of Agentforce , the engine that connects AI to the systems that run the world. We are looking for you to lead the charge in the Agentic Era - turning AI into real-world business results through the power of Agentic Orchestration, data and application integration. Overview of the Role As a Consumption Value Delivery Senior Manager , you own your business . As a crucial member of the account teams, you'll use your experience and leading AI tools to build and nurture relationships directly with customers, across Salesforce and the ecosystem. This is a customer-facing role. You will work directly with a set of AI, Integration and API customers on their Agentic future , empowered to manage your portfolio autonomously to achieve the business goals. This role is rooted in stewardship and ownership; you will be responsible for the growth, health and retention of our most strategic accounts - all through the lens of consumption. You will act as a business partner to sales leaders , acting as the strategic heart of their entire territory. You aren't just observing the business - you are driving it. You bring the information and insights that matter, proactively highlighting where interventions are needed and identifying the customer stories that inspire others. Your goal is to ensure

Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

AI Security Engineer Warszawa Requisition Number: 45722 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the management and successful delivery of moderately complex AI security projects. This role will actively contribute to defining and implementing the necessary guardrails for AI usage across Bunge, and ensure our IT platforms are robust and ready for the future AI environment. Responsibilities include providing leadership to AI security professionals, contributing to resource and policy development, and addressing complex security challenges within Bunge's AI environment. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, contributing to their successful execution and strategic alignment, including playing a key role in developing and enforcing AI usage guardrails. Provide leadership and guidance to a team of AI security professionals and support staff, supporting their growth and ensuring their effective contribution to securing AI systems. Hold accountability for the successful results of large and/or moderately complex AI security projects, ensuring objectives are met within established parameters, and actively contributing to the readiness of Bunge's IT platforms for future AI integration. Contribute valuable input on resource planning and the development of security policies specifically tailored for AI/ML systems, ensuring these policies incorporate th

Principal Security Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation Bellevue, Washington, USA Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS - with security as the foundation? We are looking for a Principal Security Solutions Architect with deep expertise in Machine Learning, Generative AI, and Agentic AI to own and drive the strategic vision for Security-focused Architectural Guidance Best Practices across AI workloads. You will operate at the intersection of AI technologies, cloud architecture, and security engineering, ensuring AI workloads achieve Well-Architected outcomes across all six pillars - Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability - with depth in the Security pillar. You will influence both internal AWS teams and the broader builder community. In this role, you will define the long-term technical direction for AI security architectural guidance, translate emerging AI/ML security patterns into prescriptive and actionable best practices grounded in the Well-Architected pillars, and influence AWS service design to better serve AI builders who need to secure their workloads across the full AI lifecycle. Key job responsibilities - Set Strategic Technical Direction for AI Security: Define and own the long-term vision and roadmap for AI/ML security architectural guidance aligned to the AWS Well-Architected Guidance pillars, with deep focus on the Security pillar - including identity, access control, data protection, data residency and sovereignty, threat detection, and incident response for AI workloads. - AI Security & Generative AI Thought Leadership: Serve as the organization's

Process Executive - AI & Service Management Bhurai, IN Requisition Number: 45146 Business Title Process Executive - AI & Service Management Global Function Business Services Global Department Service Management Reporting to Senior Manager - Center Projects Role Purpose Statement An artificial intelligence (AI) engineer is responsible for designing, developing, and deploying AI solutions that enhance business processes and solve complex problems. Collaborating with cross-functional teams, AI engineers build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, AI engineers play a strategic role by identifying opportunities for AI applications and driving innovation across processes. With a focus on continuous improvement, AI engineers stay updated on advancements in artificial intelligence, exploring tools like PyTorch, TensorFlow, to enhance scalability and efficiency. This dynamic role is essential for Bunge looking to remain competitive in a rapidly evolving technological landscape. Main Accountabilities Key Responsibilities Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality. Collaborate with cross-functional teams to build and deploy AI solutions. Optimize AI systems. Improve the performance of AI models and systems for scalability and real-time applications. Conduct data analysis. Analyze large data sets to identify patterns and insights that in

Principal Engineer - Agentic AI PA - Philadelphia, 1800 Arch St posted: Posted 30+ Days Ago