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Sr. Delivery Consultant – AI ML, Professional Services, AWSI HCLS

Amazon· Solutions Architect
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Hybrid (Zurich)Full-timePosted 1mo ago

About the role

Technical leader for large-scale Healthcare and Life Sciences transformation programs within AWS ProServe, owning end-to-end AI/ML, data platform modernization, and enterprise architecture across multiple concurrent workstreams.

Responsibilities

  • - 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 30+ 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 teams with sometimes diverse technical opinions, resolve architectural conflicts, adapt architecture mid-flight as program needs evolve, and coach engineers across partner organizations who do not directly report to you, raising the technical bar across the entire delivery organization. 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 and industry depth in HCLS, maintaining knowledge at the frontier of AWS service innovations, prescriptive guidance (e.g. Well-Architected Agentic AI Lens, Generative AI Lifecycle framework, and AI-DLC methodology), and translating those innovations into the specific HCLS customer context
  • - AI-Native Delivery Transformation: Drive AI-DLC (AI-Driven Development Life Cycle) 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, and embedding AI-native workflows into program execution to maximize builder productivity, to achieve step-change improvements in builder productivity and time-to-value

Qualifications

  • - Bachelor's degree, or 5+ years of professional or military experience
  • - 5+ years of experience in enterprise technology architecture delivery, with experience 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

Skills

Required:Enterprise technology architectureAI/MLData architecture and engineeringStakeholder advisory
Last updated Oct 25, 2026. Interested? Apply on the company site.

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