Tech Lead AI Engineer
Tasks
- Advise on data engineering architecture for schemas and data contracts
- Create and review prompt engineering strategies and versioned prompt libraries
- Ensure documentation standards with agent cards runbooks and playbooks
- Investigate and approve integration strategies with agent runtime frameworks and AWS services
- Lead and motivate teams building and operating task oriented agents
- Mentor AI engineers through coaching and training
- Optimize context size caching rerankers model selection and tool routing
- Plan and oversee evaluation frameworks and eval gates in CI CD pipelines
- Provide oversight for security and compliance strategies for agent systems
- Provide technical direction for RAG and retrieval grounding pipelines
Perks/Benefits
- Career growth opportunities
- Equal opportunity
- Hybrid collaboration across teams
- Mentorship
- Stable work environment
Skills/Tech-stack
AWS Bedrock | AWS Guardrails | Agentic AI | Agile | CI/CD | Data Contracts | Drift monitoring | ETL | Embeddings | Evaluation | FinOps | Git | Guardrails | IAM | Integration Testing | JavaScript | LLMOps | Lambda | Langgraph | Language Models | Large Language Models | MLOps | Observability | OpenSearch kNN | PGVector | PII Redaction | Policy-as-Code | Prompt engineering | Prompt versioning | Python | RAG | Redshift | S3 | SLA | SLOs | Streaming ETL | Tool orchestration | Tracing | Unit Testing | VPC | Vector Databases | Vector Search | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Lead AI Engineer | Tech Lead | Tech Lead AI | Tech Lead AI Engineer
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