Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS
Tasks
- Champion responsible AI practices
- Coach engineers across partner organizations
- Define technical vision
- Design AI ML and data knowledge architecture
- Drive AI DLC delivery transformation
- Drive observability and automated guardrails
- Embed AI native workflows into execution
- Establish agentic AI operational foundations
- Implement multi model governance
- Orchestrate multi agent systems at scale
- Own end to end enterprise architecture
- Provide executive technical advisory
- Redesign delivery workflows
- Resolve architectural conflicts
- Set reference architectures and technical standards
- Shape technology decisions on cost and time to value
- Translate AWS innovations to HCLS context
Perks/Benefits
Skills/Tech-stack
21 CFR | 21 CFR Part 11 | Agent Orchestration | AgentCore) | Agentic AI | Amazon Bedrock | CDISC | CFR Part 11 | Data Architecture | Data Engineering | Data Lake | Enterprise Architecture | FHIR | Generative AI | GxP | HIPAA | HL7 FHIR | Knowledge graphs | Lakehouse | Machine Learning | Model Governance | Multi-Agent | Multi-agent orchestration | OMOP | Observability | Ontology Driven Architecture | Part 11 | RAG | Retrieval-Augmented Generation | Saga Orchestration | Security | Tool use | Tool-use agents | Vector Databases | Workflow Orchestration
Education
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