Principal Delivery Consultant – Data, Professional Services, AWSI HCLS

AWS Professional Services (ProServe) is a global team of experts that help customers realize their desired business outcomes when using AWS services. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives.

About the role

As a Principal Delivery Consultant, you will 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 shapes 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. The role requires approximately 50% co-location on site with customer, AWS, and partner teams within the U.S.

Responsibilities

• Define and own the end-to-end technical architecture for large-scale HCLS transformation programs, setting reference architectures, reusable 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.
• 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.
• Drive alignment across teams with diverse technical opinions, resolve architectural conflicts, adapt architecture mid-flight as program needs evolve, and coach engineers across partner organizations to raise the technical bar.
• Champion responsible AI practices including bias detection, model explainability, and alignment with AWS's AI service guardrails.
• Continuously grow expertise across AI/ML, enterprise architecture, and data engineering, maintaining knowledge at the frontier of AWS service innovations and translating those into the HCLS customer context.
• Drive AI-DLC (AI-Driven Development Life Cycle) methodologies, redesigning delivery models for accelerated scale and pace using patterns such as supervisor-worker hierarchies, workflow orchestration, and saga orchestration.
• Embed AI-native workflows into program execution to maximize builder productivity and achieve step-change improvements in time-to-value.

Requirements

• Bachelor's degree in Computer Science, Math, or a related field.
• 8+ years of experience in enterprise technology architecture delivery, with at least 5 years influencing technical teams 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.
• 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.

Preferred Qualifications

• Advanced degree in technology or AWS Professional-level certification.
• 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, with emphasis on large biopharma, large medtech, and payer customers.
• Experience designing AI solutions that meet regulatory requirements (HIPAA, GxP, 21 CFR Part 11) and standards like OMOP, CDISC, FHIR, and HL7 FHIR R4.
• Experience redesigning delivery workflows to become AI-native, including steering and validating multi-agent systems at scale to drive delivery productivity and accelerate time-to-value.
• Experience designing and operationalizing agentic AI systems using patterns such as multi-agent orchestration, tool-use agents, and workflow orchestration (ideally leveraging AWS services like Amazon Bedrock, AgentCore).
• 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.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with options for supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, and Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Pay

• USA, IL, Chicago: $182,800 - $247,300 USD annually
• USA, NJ, Jersey City: $201,000 - $272,000 USD annually
• USA, NY, New York: $201,000 - $272,000 USD annually
• USA, TX, Austin: $182,800 - $247,300 USD annually
• USA, TX, Dallas: $182,800 - $247,300 USD annually
• USA, VA, Arlington: $182,800 - $247,300 USD annually