Principal Delivery Consultant – Data, Professional Services, AWSI HCLS

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.

The role is an individual contributor that defines and owns the technical vision across AI/ML, data platform modernization, and enterprise architecture work streams. It requires acting as a senior advisor to customer executives and collaborating with AWS, partners and customers on complex cloud and AI projects.

• Enterprise Architecture Ownership & Technical Standards: define and own end‑to‑end technical architecture for large‑scale HCLS programs, establish reference architectures, reusable patterns, and technical standards that ensure coherence across partner and customer builders.
• Executive Technical Advisory & Decision Shaping: counsel senior customer executives on major technology choices—total cost of ownership, time‑to‑value, build vs. buy—and influence technical decisions across teams without direct authority.
• Cross‑Team Alignment & Architectural Governance: drive alignment across teams, resolve architectural conflicts, adapt architecture mid‑flight, coach engineers, and champion responsible AI practices.
• AI/ML, Data & Knowledge Architecture: grow expertise in AI/ML, enterprise architecture, and data engineering; stay current on AWS service innovations; translate innovations into the specific HCLS customer context.
• AI‑Native Delivery Transformation: develop and drive AI‑Powered Development Life Cycle (AI‑DLC) methodologies, redesign delivery models for accelerated scale, and embed AI‑native workflows to improve builder productivity and time‑to‑value.
• Co‑location: work approximately 50 % of the time on site with customer, AWS, and partner teams in the United States.

• Bachelor's degree in Computer Science, Mathematics or a related field.
• Over 8 years of experience in enterprise technology architecture delivery, including at least 5 years leading technical teams on complex transformation programs.
• Experience facilitating discussions with senior leadership regarding technical trade‑offs, best practices, and risk mitigation.
• Experience working with fast‑moving, high‑performance teams and delivering innovative solutions for unique business environments.
• Depth in AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through leadership of large‑scale transformation programs at global enterprises.

• Advanced technology degree or AWS Professional‑level certification.
• Knowledge of compliance and security standards across the enterprise IT landscape.
• AWS Professional‑level certifications (GenAI Developer Professional, Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty).
• Experience in healthcare and life sciences, with emphasis on large biopharma, medtech, and payer customers; experience designing AI solutions that meet HIPAA, GxP, 21 CFR Part 11, OMOP, CDISC, FHIR, and HL7 FHIR R4 requirements.
• Experience redesigning delivery workflows to become AI‑native and validating multi‑agent systems at scale to improve delivery productivity.
• Experience designing agentic AI systems using patterns such as multi‑agent orchestration, tool‑use agents, and workflow orchestration; familiarity with AWS services such as Amazon Bedrock and Agent Core.
• Experience designing data platforms at scale, including data lakes, lake houses, knowledge graphs, vector databases, RAG 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.

The base salary range for this position is listed below. Additional compensation includes sign‑on payments and restricted stock units (RSUs). Final compensation is based on experience, qualifications, and location. Benefits include health, dental, vision, prescription, life insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

• USA, IL, Chicago –  –
• USA, NJ, Jersey City –  –
• USA, NY, New York –  –
• USA, TX, Austin –  –
• USA, TX, Dallas –  –
• USA, VA, Arlington –  –

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