Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, A[...]

Description The Amazon Web Services Professional Services (Pro Serve) team is seeking a Principal Delivery Consultant to serve as a technical leader for large‑scale Healthcare and Life Sciences (HCLS) transformation programs.

In this individual‑contributor role, you will define and own the technical vision across several concurrent workstreams spanning AI/ML, data platform modernization, and enterprise architecture.

This pivotal leadership role will shape how leading global HCLS companies drive business value from AI and cloud computing.

You will bring a “T‑shaped” profile: broad proficiency across AI/ML, enterprise architecture modernization, and data architecture and engineering, paired with distinctive expertise in one of these technical areas.

You will combine deep technical depth with the ability to counsel senior customer executives (VP+) on major technology choices, blending technical rigor with effective framing of business considerations.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services.

We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives.

Key Job Responsibilities Enterprise Architecture Ownership experience designing AI solutions that meet regulatory requirements (HIPAA, Gx P, 21 CFR Part 11) and meet standards such as OMOP, CDISC, FHIR, and HL7 FHIR R4.

Experience re‑designing delivery workflows to become AI‑native, including steering and validating multi‑agent systems at scale to drive delivery productivity and accelerate time‑to‑value.

Demonstrated expertise in designing and operationalizing agentic AI systems using patterns such as multi‑agent orchestration, tool‑use agents, and workflow orchestration—ideally leveraging AWS services (Amazon Bedrock, Agent Core).

Experience designing data platforms at scale, including data lakes, lakehouses, knowledge graphs, vector databases, RAG (Retrieval‑Augmented Generation) architectures, and ontology‑driven architectures.

Experience influencing and aligning customer enterprise architects and partner technical teams on architecture patterns and technology choices in multi‑vendor environments.

Equal Opportunity Amazon is an equal‑opportunity employer.

We believe passionately that employing a diverse workforce is central to our success.

We make recruiting decisions based on your experience and skills.

We value your passion to discover, invent, simplify and build.

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