# Cigna Healthcare — Vice President, Clinical AI & Interoperability Engineering

## Posting metadata

- Generated: 2026-09-01 09:11:17 PM EDT
- Original/canonical posting: https://www.indeed.com/viewjob?jk=33eab20741eacb13
- Provider: Indeed
- Job ID: 33eab20741eacb13
- Employer: Cigna Healthcare / The Cigna Group
- Work model/location: Remote; associated with Bloomfield, Connecticut
- Employment type: Full-time
- Posted: Not disclosed; the alert email was received 2026-09-01 08:49 PM EDT
- Elapsed since posting: Not available because the posting time is not disclosed
- Applicants: Not disclosed
- Compensation: $276,400-$414,600 annual base salary; bonus and long-term incentives may also apply
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 71% raw weighted coverage, with a central hard gap
- Canonical-source caveat: Indeed's exact job page currently returns a browser-verification/login challenge to automated retrieval. The role identity, remote designation, Bloomfield association, compensation, and mandate below were cross-checked from current exact-title/job-key search results. A verbatim body capture was not available.

## Direct-match strengths

Keith has strong direct evidence in executive AI and engineering leadership, production AI/ML platforms, organization building, cloud and data architecture, APIs and distributed systems, responsible AI and privacy governance, executive communication, and measurable strategy-through-production delivery. He built and led an 11-engineer AI organization, shipped a GenAI platform with 70+ automations across 20+ workflows, advised 200+ AWS customers, and has source-supported life-science and regulated-health-technology experience.

## Hard or material gaps

The central mandate combines Clinical AI with healthcare interoperability and productization of a longitudinal record spanning health-plan, pharmacy-benefit-management, and specialty-pharmacy data. Keith's source files do not document direct HL7/FHIR implementation, EHR integration, payer/PBM interoperability, specialty-pharmacy data integration, or ownership of a longitudinal clinical-record platform. These are not secondary keywords; they are core to the role title and mandate. Under the fit gate, that unsupported central domain/function requirement forces FAIL despite otherwise strong executive AI and engineering alignment.

## Evidence map

1. **Lead clinical AI engineering strategy and productization** — weight 3, score 3/3: Direct evidence leading AI strategy, architecture, product roadmaps, engineering delivery, and production commercialization.
2. **Healthcare interoperability standards and platforms** — weight 3, score 1/3: Adjacent API, ontology, HIPAA, regulated software, and system-integration evidence, but no direct HL7/FHIR or EHR interoperability implementation.
3. **Build and lead multidisciplinary engineering organizations** — weight 3, score 3/3: Recruited and led 11 AI/software/cloud engineers; managed organizations and managers up to approximately 25 people.
4. **Production AI/ML and enterprise data platforms** — weight 3, score 3/3: Direct production GenAI, RAG, agents, ML, data-lake, cloud-platform, MLOps, and distributed-system evidence.
5. **Health-plan, PBM, specialty-pharmacy, and longitudinal clinical data** — weight 3, score 0/3: No direct source-supported payer/PBM/specialty-pharmacy integration or longitudinal clinical-record ownership.
6. **Cloud architecture, APIs, security, reliability, and platform engineering** — weight 2, score 3/3: Deep AWS, REST APIs, event-driven systems, data platforms, HA cloud services, security, CI/CD, and operations evidence.
7. **Responsible AI, privacy, governance, and regulated technology** — weight 2, score 3/3: Direct AI governance, bias/drift/transparency, privacy-rights automation, HIPAA-regulated software, and FDA-cleared product evidence.
8. **Executive and cross-functional leadership** — weight 2, score 3/3: Direct C-suite advisory, product/engineering alignment, enterprise stakeholder influence, and change leadership.

Weighted evidence score: 45/63 = 71%. Outcome remains FAIL because requirements 2 and 5 form the role's central mandate and include a hard unsupported gap.

## Full normalized job description

The Vice President, Clinical AI & Interoperability Engineering role at Cigna Healthcare is a remote, full-time executive engineering position associated with Bloomfield, Connecticut. The indexed listing describes responsibility for leading clinical AI engineering and healthcare interoperability, including engineering and productization of a longitudinal health record spanning health-plan, pharmacy-benefit-management, and specialty-pharmacy data and operations.

The role's central scope includes executive ownership of clinical AI and interoperability engineering, enterprise platform and data architecture, integration across healthcare business domains, productionization of AI-enabled clinical capabilities, and leadership of engineering teams. Current indexed descriptions identify healthcare interoperability standards and platforms as important to the mandate. The work also calls for collaboration across clinical, product, data, technology, security, and operating stakeholders so that integrated data and AI capabilities can be delivered reliably at enterprise scale.

The listed annual base compensation is $276,400-$414,600. Search-indexed listing details also identify standard Cigna benefits including medical, dental, and vision coverage, a 401(k), paid time off, and tuition reimbursement. Posting time, applicant count, and travel requirements were not disclosed in the accessible listing metadata.

Because Indeed currently gates the exact page behind automated browser verification, this section is a normalized capture of the role-specific facts that were accessible and cross-checked; it is not represented as a verbatim copy of inaccessible JD text.

## Artifact metadata

- Resume: Not generated under the fit gate.
- Cover letter: Not generated under the fit gate.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No
- Optimizer validation: Fit gate completed; no unsupported evidence was added; publication limited to this JD capture.