Lead design and delivery of Generative AI solutions using Amazon Bedrock and orchestration frameworks. Build CI/CD pipelines, manage full-stack AWS infrastructure, ensure observability and AI governance, collaborate with stakeholders, apply Agile practices, mentor engineers, and integrate new AI innovations into production systems.
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Job Overview
We are seeking a highly skilled GenAI Lead to spearhead cutting-edge development projects in the field of Generative AI. This role involves leveraging advanced AI models, cloud technologies, and agile practices to deliver innovative solutions. The successful candidate will collaborate with cross-functional teams to design and implement scalable, efficient, and high-performing AI applications.
Key Responsibilities
- Lead GenAI Development: Drive the development and deployment of Generative AI solutions using cutting-edge technologies such as Amazon Bedrock, AWS Bedrock Agents, and LangChain/LangGraph.
- Build CI/CD Pipelines: Design, implement, and maintain robust CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, and GitHub Actions.
- Oversee Full-Stack Infrastructure: Manage full-stack development efforts with a strong focus on observability, system reliability, and scalable cloud infrastructure.
- Implement AI Governance: Establish AI governance frameworks to ensure ethical, secure, and compliant deployment of AI technologies.
- Stakeholder Collaboration: Partner with business and technical stakeholders to define project goals, technical requirements, and success metrics.
- Agile Project Delivery: Utilize Agile methodologies to manage project workflows, sprint planning, and deliver high-quality results efficiently.
- Drive AI Innovation: Stay updated with the latest trends in AI/ML and incorporate new AWS innovations into project strategies.
Required Skills and Experience
Mandatory
- Generative AI Frameworks: Deep proficiency in Generative AI, Amazon Bedrock, LangChain/LangGraph, and LlamaIndex (or similar orchestration frameworks).
- Backend Mastery: Strong expertise in Python development, Full Stack architectures, and FastAPI.
- AWS Cloud Ecosystem: Hands-on experience with AWS cloud solutions, specifically Amazon Bedrock, AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon RDS for PostgreSQL.
- DevOps & Containers: Production experience with containers (Docker), container orchestration (Amazon ECS/EKS), and AWS DevOps tools.
- Observability & Monitoring: Solid knowledge of AI observability tools and techniques (e.g., Amazon CloudWatch, AWS X-Ray, Arize, or TruLens) to ensure reliable performance.
- AI Governance: Strong understanding of AI governance, data privacy, and ethical AI practices (e.g., Guardrails for Amazon Bedrock).
- Experience: Minimum 8 years of professional experience in roles involving advanced AI and software development.
Preferred
- Multi-Cloud Exposure: Experience with additional cloud providers such as Azure or GCP.
- Frontend Basics: Familiarity with modern frontend technologies like React.
- Leadership: Proven ability in stakeholder management, mentoring engineers, and cross-functional collaboration.
- AI Assistance: Proficiency with AI-assisted development tools like Amazon Q Developer or GitHub Copilot.
- Model Expertise: Familiarity with advanced LLMs such as Anthropic Claude, Amazon Titan, and Meta Llama.
Key Skills
Python, Amazon Bedrock, AWS Bedrock Agents, Amazon OpenSearch Service (Vector Engine), Amazon Bedrock Knowledge Bases, LangChain/LangGraph, LlamaIndex, RAG, FastAPI, AWS Lambda, DynamoDB/PostgreSQL, AWS Code Pipeline, CI/CD, Docker, ECS/EKS, Git, AI Observability, Amazon Q Developer / GitHub Copilot based development.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell SaaS licenses and generate new business through account and territory planning, prospect research, and field sales. Build C-suite relationships, lead cross-functional account strategies, advise on IT roadmaps and AI integration, identify specialists to win deals, negotiate contracts, and meet sales targets. Role requires travel and collaboration with solutions, success, partners, and marketing teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead end-to-end COGS and gross margin analysis across hardware and software product lines. Build scenario models, quantify cost-saving opportunities, and present defensible recommendations to C-suite. Tackle ambiguous executive questions, partner with data engineering, finance, and product to establish reliable datasets, and drive analytical best practices and documentation. Operate autonomously with high ownership.
Top Skills:
SQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.
Top Skills:
BuildkiteC++CanCan-UtilsDatabricksGoGraphQLLinuxLinux DriversLteSocUsbWifi
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
