AWS Cloud & Generative AI Engineering Lead
Location: Remote / Hybrid

Experience Level: Senior / Principal (8+ years)

Summary
We are seeking a seasoned Cloud engineer to design and build full-stack, cloud-native applications that merge modern AI innovation with scalable, sustainable architecture. This role blends hands-on AWS development and driving enterprise-grade GenAI adoption across diverse products and teams.

Key Responsibilities
- Architect and implement serverless, event-driven cloud applications using AWS services such as Lambda, API Gateway, DynamoDB, Step Functions, and S3.
- Lead the design and integration of Generative AI workflows leveraging Amazon Bedrock, RAG pipelines, and knowledge-base-driven context engineering to deliver intelligent, reliable, and extensible AI capabilities.
- Develop internal frameworks and reusable modules that enhance developer experience, maintainability, and cloud efficiency.
- Collaborate cross-functionally with product, design, and data science teams to bridge business goals with scalable cloud solutions.




- Champion accessibility-first design and inclusive engineering practices across products and internal tooling.
- Mentor engineers and influence architectural direction aligned with organizational growth and sustainability objectives.

Required Qualifications
- 8+ years of experience in software engineering, cloud architecture, or full-stack application development.
- Deep hands-on experience with AWS (e.g., Bedrock, Lambda, Step Functions, Redshift, Glue, ECS/EKS, IAM).
- Proficiency in Python, TypeScript/Node.js, or similar languages for serverless development.
- Solid grasp of context engineering, prompt orchestration, and LLM application design.
- Proven success leading cross-functional engineering teams to innovate at the intersection of technology and business.
- Commitment to accessibility and inclusive design principles.
- Experience integrating agent-based architectures and retrieval-augmented generation (RAG

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