Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries
Tasks
- Advise executives on architecture tradeoffs
- Apply generative AI lifecycle methods
- Champion responsible AI practices
- Coach partner engineers
- Define and own enterprise architecture
- Drive AI ML and data knowledge architecture
- Drive AI driven development life cycle
- Establish technical standards and reference architectures
- Govern agentic AI multi model operations
- Implement observability and automated guardrails
- Influence build vs buy decisions
- Orchestrate multi agent systems at scale
- Redesign delivery workflows to be AI native
- Resolve architectural conflicts across teams
- Secure multi agent orchestration
- Steer and validate agentic systems for productivity
Perks/Benefits
- N/A
Skills/Tech-stack
AI Driven | AI Driven Development Life Cycle | AI-DLC | AI-driven development | AI/ML | Agent Orchestration | AgentCore) | Agentic AI | Amazon Bedrock | Architectural governance | Automated guardrails | Bias detection | Build vs Buy | Data Engineering | Data Lakes | Decision Making | Development Life Cycle | Enterprise Architecture | Executive advisory | Knowledge graphs | Lakehouses | Model Explainability | Model Governance | Multi Model Governance | Multi-Agent | Multi-agent orchestration | Multi-model | Observability | Ontology-driven architectures | RAG | Responsible AI | Retrieval-Augmented Generation | Saga Orchestration | Secure Multi Agent Orchestration | Supervisor Worker | Supervisor Worker Hierarchies | Technical decision making | Technical standards | Tool use | Tool-use agents | Vector Databases | Workflow Orchestration
Education
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