Assistant Vice President
About the Role
We are seeking a technically deep, hands-on AI Architect / Forward Deployed Engineer (AVP) to embed directly within client environments and own the end-to-end technical delivery of EXL's Agentic AI and Generative AI solutions for large U.S. healthcare payers. This role sits at the intersection of cloud architecture, AI agent engineering, and healthcare payer domain expertise—spanning Prior Authorization, Utilization Management, Care Management, and Claims.
As a Forward Deployed Engineer, you will sit alongside client teams, understand their real workflows and constraints firsthand, and rapidly architect, build, deploy, and harden AI solutions inside their infrastructure. You will move fluidly between whiteboard architecture and hands-on implementation—writing code, configuring environments, integrating with legacy systems, and iterating in tight feedback loops until solutions are live and creating measurable value.
The ideal candidate brings a rare combination of hands-on AI/ML and cloud architecture depth, agentic AI engineering experience, and deep understanding of U.S. healthcare payer operations. Deep cloud, AI Agents, and healthcare experience are mandatory for this role.
Bachelor’s degree in computer science, Engineering, Data Science, or a related technical field. Master's degree (M.Tech / MS / MBA) preferred.
Experience
10+ years of progressive experience in software/AI engineering, cloud architecture, or forward deployed/solution engineering roles.
Deep cloud experience is a must — proven hands-on architecture and deployment across at least one major hyperscaler (Azure / AWS / GCP), including production-grade, secure, scalable systems in client environments.
Deep AI Agents experience is a must — demonstrated design and delivery of Agentic AI / multi-agent and Generative AI systems (LLMs, RAG, orchestration frameworks) in production.
Deep healthcare experience is a must — strong understanding of U.S. healthcare payer operations (Prior Auth, UM, Care Management, or Claims).
Proven track record of personally taking AI solutions from POC to live production—hands-on, not purely advisory.
Technical Skills
Hands-on and architectural expertise in LLMs, embeddings, vector search, prompt engineering, and RAG pipelines.
Strong coding ability (Python and related AI/ML stacks) with the ability to ship production-quality solutions directly.
Proficiency with cloud AI platforms: Azure OpenAI, AWS Bedrock (Claude/Sonnet), GCP Vertex AI.
Expertise with agent orchestration frameworks: LangChain, LangGraph, CrewAI, AutoGen, or equivalent.
Strong understanding of MCP (Model Context Protocol), A2A protocols, and multi-agent system design.
Infrastructure-as-code, Docker/Kubernetes, CI/CD, MLOps/LLMOps, and GPU capacity planning.
Secure API design, OAuth2/JWT, enterprise integration patterns, and healthcare data standards (HL7, FHIR, X12 EDI 837/835/270/271/276/277).
Domain Skills
Deep understanding of payer clinical and claims workflows and integration with platforms such as QNXT, Facets, CareRadius.
Familiarity with clinical criteria sources (MCG, InterQual) and CMS regulatory frameworks (including CMS-0057-F).
Working Style
Comfortable being embedded on-site/in-client-environments with significant travel and direct, day-to-day collaboration with client technical teams.
Bias for action, strong ownership, and ability to operate autonomously in ambiguous, fast-changing conditions.
Ability to lead distributed US + offshore engineering support while remaining hands-on.
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Preferred Qualifications
Experience building AI Centers of Excellence or reusable agent frameworks/accelerators for healthcare.
Patent holder, published researcher, or recognized contributor in AI/healthcare innovation.
Experience with Databricks, Snowflake, or similar data platforms in a healthcare context.
Cloud/AI certifications (Azure Solutions Architect, AWS Solutions Architect Professional, GCP Professional Architect, or equivalent).
You'll be redirected to EXL Service's application page
Job Details
Salary
Not disclosed
Location
United States
Job type
Full-time
Category
AI Engineering
Experience
10+ years
Posted
Today
Job Highlights
- 10+ years level role
- 100% Remote — open to candidates in United States
- Full-time position
About EXL Service
This job is hosted by EXL Service. Clicking Apply opens their site.
Remote Work Style
Mix of flexible and scheduled meetings
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