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.
Experience
15+ Years
Specialization
Regulated Industries
Availability
Contract / FDE Roles
Credentials
8 Verified Certs
Recruiter Snapshot
20-second scanTarget 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
Selected Systems
Inspect public proofPublic proof
Healthcare RAG Platform
HIPAA-aware retrieval with PHI controls, guardrails, audit logging, and evaluation metrics.
Architecture, controls, tests, and repo-level implementation evidence.
Open repoPublic proof
Model Governance Framework
Model cards, fairness checks, bias detection, responsible AI controls, and model risk evidence.
Governance artifacts for executive, legal, risk, and data-science review.
Open repoPublic proof
Compliance Automation Suite
Regulated workflow controls for PHI validation, security controls, and compliance traceability.
Policy checks, evidence capture, and workflow traceability patterns.
Open repoPublic proof
FHIR Integration Service
FHIR R4 interoperability pattern for regulated healthcare data exchange and system integration.
Healthcare data exchange pattern with clear integration boundaries.
Open repoPublic proof
Agentic Eval Harness
LLM evaluation and regression gates for deterministic, bypass-resistant agent behavior.
Evaluation harness for safer agent release and regression control.
Open repoProfessional Experience
Independent Forward-Deployed AI Architect
NYC | July 2025 – PresentPrincipal 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 2025Production 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 2024Director 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 2020Forward-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 2018Associate 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 2017Senior 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 2015Software 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 – 2008Project 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
Certifications
View credential detailsCloud Architecture
ML + Data Engineering
DevOps + Security
Healthcare + Process
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.