Principal Delivery Consultant – Modernization, Professional Services, AWSI HCLS

Principal Delivery Consultant – Modernization, Professional Services, AWSI HCLS

Stellen-:  | Amazon Web Services, Inc.

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 role as an individual contributor, you will define and own the technical vision across several concurrent work streams spanning AI/ML, data platform modernization, and enterprise architecture. This is a pivotal leadership role that will shape how the leading global HCLS companies drive business value from AI and cloud computing.

• Enterprise Architecture Ownership & Technical Standards:
  Define and own the end-to-end technical architecture for large-scale HCLS transformation programs, setting reference architectures, re-usable patterns, and technical standards that ensure coherence across 50+ AWS, partner, and customer builders. Establish operational foundations for agentic AI including multi-model governance, observability, automated guardrails, and secure multi-agent orchestration.
• Executive Technical Advisory & Decision Shaping:
  Bridge the gap between customer enterprise architects' expectations and pragmatic delivery, counseling executives on major technology choices (total cost of ownership, time-to-value, build vs. buy) and influencing technical decisions across customer and partner teams without direct authority, earning credibility through depth and clarity.
• Cross‑Team Alignment & Architectural Governance:
  Drive alignment across diverse teams, resolve architectural conflicts, adapt architecture mid‑flight as program needs evolve, and coach engineers across partner organizations. Champion responsible AI practices including bias detection, model explainability, and alignment with AWS's AI service guardrails.
• AI/ML, Data & Knowledge Architecture:
  Continuously grow expertise across AI/ML, enterprise architecture, and data engineering with industry depth in HCLS, maintaining knowledge at the frontier of AWS service innovations, prescriptive guidance (Well‑Architected Agentic AI Lens, Generative AI Lifecycle framework, AI‑DLC methodology), and translating those innovations into the specific HCLS customer context.
• AI‑Native Delivery Transformation:
  Drive AI‑DLC methodologies across the delivery organization, redesigning delivery models for accelerated scale and pace, steering multi‑agent systems at scale using patterns such as supervisor‑worker hierarchies, workflow orchestration, and saga orchestration as defined in AWS prescriptive guidance, embedding AI‑native workflows into program execution to maximize builder productivity and time‑to‑value.

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
• Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation.
• Experience working with fast-moving, high-performance teams and driving innovative solutions tailored to unique business environments.
• 8+ years of experience in enterprise technology architecture delivery, with at least 5 years influencing technical teams and defining and governing technical architecture on complex transformation programs.
• Depth in one or more of the following technical areas: AI/ML, enterprise architecture modernization, or data architecture and engineering, demonstrated through technical leadership of enterprise-wide transformation programs at leading global enterprises.
• AWS Professional-level certifications (e.g., GenAI Developer Professional, Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty).
• Experience in the healthcare and life sciences industry, including large biopharma, large medtech, and payer customers. Experience designing AI solutions that meet regulatory requirements (HIPAA, GxP, 21 CFR Part 11) and standards such as OMOP, CDISC, FHIR, and HL7 FHIR R4.
• Experience re-designing delivery workflows to become AI-native, steering and validating multi‑agent systems at scale to drive delivery…