AWS AI Engineer

• Customer obsession: Act as the go-to AI engineering expert for our key customers, translating business challenges into production-ready agentic AI solutions and supporting pre-sales, solutioning, and proof-of-value engagements.
• AI Agent Development: Design, build, and ship autonomous and multi-agent systems in production using Amazon Bedrock and Bedrock AgentCore, together with frameworks such as Strands Agents, LangGraph, or CrewAI - covering tool use, orchestration, memory, identity, and human-in-the-loop patterns.
• Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate.
• Architecture & Design: Design highly available, scalable, and secure AI architectures on AWS, applying the Well-Architected Framework and generative-AI best practices. Contribute to the overall AI strategy, reference architectures, and reusable accelerators.
• Production Engineering & LLMOps: Operationalize AI agents end-to-end - automated AI agent evaluation, guardrails, observability, cost and latency optimization, CI/CD, and Infrastructure as Code (Terraform, CloudFormation, AWS CDK). Own the reliability, quality, and performance of deployed agents.
• Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act).
• Autonomy & Ownership: Work autonomously across the full delivery lifecycle - from discovery and design to deployment and handover - making sound technical decisions with limited supervision while keeping stakeholders aligned. Participate in support or on-call rotations where the customer assignment requires it.
• Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. Mentor junior engineers and share knowledge across the practice.

We are seeking a Senior AWS AI Engineer to join our growing AI engineering team. You will be a key player in designing, building, and deploying production-grade AI agents and generative AI solutions on AWS. This role requires hands-on expertise across the AWS AI stack (Amazon Bedrock, Bedrock AgentCore, Amazon SageMaker, and Amazon Q) combined with the engineering rigor to take agentic systems from proof-of-concept to reliable, secure, and scalable production. You will be a trusted advisor to our customers, driving the adoption of agentic and generative AI and shaping the next generation of intelligent solutions Devoteam delivers.