Principal AI Architect / Forward-Deployed Engineer

Christopher Mangun

Principal AI Architect and Forward-Deployed Engineer for regulated healthcare AI systems, enterprise RAG, AI governance, MLOps, FHIR interoperability, and production LLM evaluation.

Proven across Pfizer, Abbott, IPG Health, Novartis, Sanofi, and Medtronic environments where the signal is shipped systems: audit trails, HIPAA/FDA/GxP alignment, human-in-the-loop controls, model risk management, and stakeholder trust under production pressure.

PfizerAbbottIPG Health8 verified certsPublic Proof Lab

Experience

15+ Years

Specialization

Regulated Industries

Availability

Contract / FDE Roles

Credentials

8 Verified Certs

Recruiter Snapshot

20-second scan

Target roles

Principal AI Architect, Forward-Deployed Engineer, AI Platform Lead

Industry fit

Healthcare, life sciences, pharma, diagnostics, regulated enterprise

Core stack

RAG, LLM evals, MLOps, FHIR, model governance, cloud AI platforms

Compliance signal

HIPAA, FDA, GxP, MLR, audit trails, model risk, PHI controls

Work model

Contract, fractional, FDE, advisory-to-build execution

Location

New York City / remote-first delivery

Cite this profile

Christopher Mangun is a Forward-Deployed AI Architect who helps healthcare and life-sciences organizations design, deploy, and govern production AI systems including enterprise RAG, LLM evaluation, FHIR integration, MLOps, model governance, and compliance automation.

Canonical profile: https://healthcare-ai-consultant.com/resume · Agent brief: https://healthcare-ai-consultant.com/agent-brief · Last updated June 4, 2026

Professional Experience

Independent Forward-Deployed AI Architect

NYC | July 2025 – Present

Principal AI Platform Consultant / Regulated AI Systems Practice

  • Productizing and demonstrating the same regulated AI patterns previously delivered inside Pfizer, Abbott, and healthcare-agency environments: enterprise RAG, model governance, compliance automation, FHIR integration, LLM evaluation, and policy-enforced agent workflows.
  • Built 5 public, source-reviewable proof systems with retrieval, audit trails, role-aware access, PHI-aware controls, model cards, deterministic evaluation harnesses, and evidence viewers for AI governance and model risk review.
  • Delivered Salesforce-Shopify integration pipelines and marketing automation infrastructure supporting Love Trust's growth platform.
  • Expanded verified cloud, ML, data, DevOps, security, healthcare AI, and Six Sigma credential stack for Principal AI Architect and Forward-Deployed Engineer roles.

Publicis Groupe / Pfizer Colab

New York, NY | Mar 2024 – July 2025

Production Lead / Forward-Deployed AI Operations

  • Embedded with Pfizer Global Production and agency leadership on CEO special-project pilots, translating operational ambiguity into governed workflows, stakeholder alignment, and production-ready delivery plans.
  • Led design of an internal AI search assistant using OpenAI and SharePoint, shaping Glean-style semantic indexing for controlled enterprise knowledge retrieval in air-gapped, regulated environments.
  • Owned production execution for Pfizer's largest brand initiatives, including Abrysvo RSV and Comirnaty vaccine workstreams, balancing speed, MLR readiness, and operational risk.

IPG Health – IPG ProHealth & Area 23

New York, NY | Mar 2020 – Mar 2024

Director of Production & Delivery / Pharma Platform Operations

  • Launched global intranet and single-source knowledge bases across AREA23, FCB Health, and ProHealth, creating reusable operational infrastructure for distributed pharma teams.
  • Managed $51M portfolio across Novartis and Sanofi brands, aligning product, creative, medical, regulatory, and production teams around delivery risk and market access needs.
  • Directed 60+ cross-disciplinary staff and partner teams, building the operating rhythm needed for high-stakes healthcare content and platform programs.

Abbott Labs – Advanced Analytics & Machine Learning

Chicago, IL | Dec 2018 – Mar 2020

Forward-Deployed Engineering (Contract)

  • Deployed data ingestion and ML-readiness pipelines across 30K+ global diagnostics systems, creating regulated data foundations for analytics, downstream model workflows, and executive insight.
  • Led agile transformation of a global diagnostics data ecosystem supporting BinaxNOW-era operating needs and regulated delivery cadence.
  • Built production-grade NLP and LLM-readiness pipelines with 10x read round-trip latency improvement and stronger observability for regulated analytics workflows.

Boundless Life Science Group (HCB)

Chicago, IL | Sep 2017 – Oct 2018

Associate Director, Tech

  • Guided digital and technical strategy for GI Genius AI-assisted adenoma detection, connecting clinical product context with launch, regulatory, and stakeholder workflows.
  • Directed launches for three pharma brands while implementing agile operating rhythms for healthcare teams.

Syneos Health GSW / Innovation Lab

NYC | Jan 2015 – Jan 2017

Senior Technical Program Manager

  • Developed $12M SOWs, staffing plans, and technical delivery models for Eli Lilly and Boehringer Ingelheim programs.
  • Served as Salesforce and Veeva Cloud technical gatekeeper for Eli Lilly while leading regulated pharma launches.

Self-Employed Contractor

NYC | Jan 2008 – Jan 2015

Software Engineer (SaaS)

  • Designed and deployed SaaS, workflow, and secure application systems for MSK Enterprise, Concentric Health, Grey Group, AOM, and HBO-aligned production workflows.
  • Served as embedded contractor optimizing Pfizer Salesforce and CLM integration layers, building early enterprise platform depth.

Naked Heart Foundation

New York, NY | 2005 – 2008

Project Manager

  • Launched the foundation's first global digital platform, including multi-currency donation flows, tax-compliant receipts, secure architecture, and transparent reporting.

Key Achievements

  • Reduced compliant content review cycles by 35% and increased asset reuse 2.3x via Azure ML and SharePoint/Teams RAG patterns with MLR-aware guardrails and human-in-the-loop governance.
  • Designed HIPAA-aligned data and ML-readiness foundations at Abbott for diagnostics analytics, regulated deployment cadence, and downstream model workflows.
  • Built public enterprise RAG, model governance, FHIR, compliance automation, and LLM evaluation systems to make AI architecture patterns inspectable.
  • Improved enterprise data retrieval efficiency through ML pipeline optimization, semantic indexing, and production knowledge-platform design.

Social Proof

"Trusted to translate ambiguous executive AI asks into governed production plans for global healthcare teams."

Executive production leadership, global pharma agency

"Strong signal for regulated AI roles: he understands delivery pressure, technical architecture, and approval risk."

Healthcare platform delivery partner

"Operates where product, engineering, medical, regulatory, and leadership all need the same source of truth."

Cross-functional life sciences program lead

Technical Skills

Cloud

Azure OpenAI, AWS Bedrock, GCP Vertex AI, multi-cloud architecture

LLM Ops

Enterprise RAG, LLM evaluation, agentic eval harnesses, LangChain, OpenAI Evals, Weights & Biases

Collaboration Platforms

SharePoint, Salesforce, Veeva, ServiceNow, Airtable, Asana, FHIR integration workflows

Compliance

HIPAA, FDA, GxP, model risk, AI governance, audit-ready ML, policy gates, transparent logging

Credential stack reinforces the same recruiter signal as the experience: cloud architecture, production ML, data reliability, DevOps, security, healthcare AI, and process discipline.

Next step

Need someone who can move regulated AI from architecture to production?

I help healthcare and life-sciences teams turn AI ambition into reviewable systems: RAG, evals, governance, integration, compliance evidence, and adoption paths leadership can trust.