Airship AI Holdings Inc jobs

Experienced AI-ML Engineer (Artificial Intelligence) IND - Bangalore, India posted: Posted 2 Days Ago

Senior Artificial Intelligence (AI) Solutions Architect 2 Locations posted: Posted 11 Days Ago

AI/ML Researcher (Multimodal) KOR - Seoul, South Korea posted: Posted 11 Days Ago

AI Enterprise Architect 5 Locations posted: Posted 30+ Days Ago

AI/ML Researcher (Computer Vision – Vision Language Model) KOR - Seoul, South Korea posted: Posted Today

Senior Business Intelligence Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon? Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives? In the Alexa Excellence ALICE (AI Logistics for Infrastructure, Cost & Efficiency) team, we drive the infrastructure orchestration, efficiency and cost optimization mechanisms behind products such as Alexa+; striving to be the world's most capable AI personal assistant. We're seeking a Senior Business Intelligence Engineer who will be a technical BI leader on the ALICE India team, building robust, scalable analytics solutions that inform infrastructure investment decisions across Alexa and Amazon leadership. Key job responsibilities - Own the end-to-end BI strategy across ALICE's portfolio of infrastructure optimization products, including cost visibility, GPU capacity planning, infrastructure waste identification, and service health monitoring - Design and implement scalable dashboards, data models, and reporting solutions that provide visibility into Alexa's infrastructure spend and GPU utilization - Build and maintain data pipelines and self-service analytics capabilities that empower service owners across Alexa to analyze, forecast, and manage their infrastructure usage - Define metrics frameworks, KPIs, and data governance standards across ALICE products - Collaborate with SDEs and Data Engineers to implement data architecture and automate analytical processes - Communicate findings and recommendations to technical

Senior AI Product Manager Seattle posted: Posted 4 Days Ago

AI Engagement Manager Noida posted: Posted 30+ Days Ago

Sr. Software Engineer - AI Lehi posted: Posted 22 Days Ago

AI Platform Engineer Bucharest posted: Posted 2 Days Ago

AI Software Engineer Bucharest posted: Posted 30+ Days Ago

Principal Software Engineer, Alexa AI (AURORA) Bengaluru, Karnataka, IND Interested in building Amazon Alexa, Machine Learning, and Generative Artificial Intelligence? We're building products and services that power state of the art for Amazon customers. Come join us! The Alexa AI org is looking for a Principal Engineer to join Aurora (Alexa Understanding, Runtime, ORchestration, and Applied Sciences) - Alexa's AI runtime backbone and horizontal intelligence organization. Aurora is a science and engineering organization that advances research while delivering robust, scalable runtime solutions. We revolutionize conversational AI through three core pillars: architecting mission-critical AI runtime systems, advancing science solutions that connect key conversational capabilities, and transforming how builders create at scale. This role sits at the intersection of latest AI research and large-scale production systems, where you will architect and deliver Pragmatic AI capabilities - AI that is not just technically impressive, but reliably useful, trustworthy, and accessible to real customers in their everyday lives. What makes this role unique You will be building AI experiences that work across the full spectrum of human interaction - multi-modal (speech, text, image, video), multi-lingual (global locales with distinct linguistic and cultural requirements), and multi-model (orchestrating and routing across frontier and specialized AI models to optimize for accuracy, latency, and cost). Your systems will serve customers across a diverse range of endpoints and form factors, from voice-first devices to screen-based and mobile experiences. AURORA influences the full Alexa+ agent execution path - from reasoning to evaluation to runtime - enabling you to operate in

AI Application Engineer KOR - Seoul, South Korea posted: Posted 14 Days Ago

AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail New York, New York, USA AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage. Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and

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

Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Principal AI Technologist 6 Locations posted: Posted 30+ Days Ago

AI Solution Orchestrator Indiana - Indianapolis; Georgia - Atlanta; Texas - Dallas We are seeking a passionate and dynamic AI Solutions Orchestrator to join our high-performing and innovative team focused on designing and building Salesforce platform solutions for our Account Success teams. This role is pivotal in driving digital transformation within our organization, leveraging the power of personal agents and autonomous agents to build out a digital workforce. As an AI Solutions Orchestrator, you will play a crucial role in transforming our internal use of the Salesforce platform, ensuring that our solutions drive productivity gains, time savings, and knowledge up-skilling for our Account Success teams. You don't wait for a perfect roadmap. You can identify the fastest path to getting something out the door, test it in the real world, and iterate - without needing direction. You must be passionate, fully engaged, and ready to tackle challenges head-on while solving problems independently. Genuine care for your work and a commitment to delivering exceptional results are essential. This role demands resilience, creativity, and a proactive approach, requiring you to take ownership and drive results. Your Impact AI Strategy, Build & Experimentation Technical-to-Experimental Pivot: Transition from traditional technical execution into a forward-thinking, experimental role at the cutting edge of AI - operating at the forefront of what's possible Rapid POC Cycling: Quickly design, test, and iterate on Proofs of Concept with a tinkerer's mindset - identifying creative ways to weave emerging technologies into real business needs and presenting findings to inform high-level

Principal AI Researcher 3 Locations posted: Posted 27 Days Ago

Applied AI Architect 2 Locations posted: Posted 30+ Days Ago

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

Director, AI Strategy, Product Delivery Boston, MA, US; Remote, UNAVAILABLE, US; Seattle, WA, US; Plano, TX, US Description As AI capabilities accelerate, so does the opportunity to fundamentally improve how we work. AI adoption is a key strategic focus for Liberty Mutual, and the Property & Specialty Product Delivery team is looking for a driven, curious and highly capable professional to help us seize that opportunity. We are seeking a Director (individual contributor) to own and drive our AI roadmap across Delivery teams, identifying, testing and scaling AI-enabled solutions that improve the efficiency, quality and breadth of all our rating program launch and maintenance processes. The ideal candidate will bridge the gap between technology and business, translating complex organizational processes into actionable AI applications, and executing swiftly to deliver results. This role requires strong project management skills, a genuine curiosity for AI tools, and the ability to orchestrate across a variety of workstreams, bringing together the work of others toward a cohesive vision, working cross-functionally with teams including US Data Science and Technology. Key responsibilities: Own and drive the AI roadmap for Delivery, identifying high-impact opportunities to augment existing processes and sequencing initiatives for maximum value Orchestrate a broad set of workstreams, bringing together the work of others and driving each initiative toward a cohesive, high-quality outcome. Key examples include: Augment existing requirements gathering and documentation processes through AI, inclu

Sr Manager Cyber Security & AI Automation Engineer Warszawa Requisition Number: 45653 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the strategic development and implementation of AI security measures, leading a dedicated team, and ensuring the protection of Bunge's critical AI assets. This role is pivotal in establishing the foundational guardrails for ethical and secure AI adoption across Bunge, and strategically preparing our IT platforms for the evolving future AI landscape. Responsibilities include providing expert guidance, driving significant projects, and proactively identifying and mitigating advanced AI-related security risks across the organization. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, ensuring successful execution and alignment with organizational goals, including the establishment of robust guardrails for AI usage within Bunge. Provide leadership and direction to a team of AI security professionals and support staff, fostering their development and ensuring high performance in securing AI systems. Hold responsibility for the overall performance, budgetary oversight, and results of a dedicated medium-sized AI security team or multiple smaller teams. Resolve complex security issues that extend beyond immediate team boundaries, leveraging comprehensive knowledge of related disciplines to ensure holistic solutions, while also contributing to the strategic readiness