Live opening · Posted 10 hours ago

AI Lead Engineer - Payer (Healthcare) - Client Facing

Infinite Computer Solutions · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 10 hours ago
CompanyInfinite Computer Solutions
LocationUnited States (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 10 hours ago

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About the role

Description supplied by the original job listing.

Senior Forward Deployed Engineer (FDE) Lead
Remote
Full Time
Role Summary
The Senior FDE Lead will be the embedded client-facing technical builder who converts Model Office and design decisions rapidly into working configurations, AI workflows, prototypes and demonstrations.
This person needs the unusual combination of software/AI engineering ability, solution architecture, rapid prototyping and client presence.
The FDE Lead should be comfortable sitting in a client design session, understanding a requirement, translating it into a technical approach, building or configuring it rapidly, testing it with users, learning from the results and iterating in near-real time.
This is emphatically not a traditional project manager or solution architect who hands requirements to an offshore development team. The person must be able to build.
Key Responsibilities
Embed directly with Centene functional, clinical and technology teams.
Translate Model Office decisions into working sandbox configurations and prototypes.
Develop and configure AI-enabled workflows and agents.
Write code where required to integrate, prototype or extend platform capabilities.
Rapidly prototype solutions during design cycles.
Test AI outputs and workflow behavior against expected outcomes.
Build evaluation approaches and use results to improve prompts, models, agents and workflow logic.
Work with business/clinical users to gather feedback and iterate rapidly.
Troubleshoot issues across configuration, APIs, data, AI behavior and workflow orchestration.
Maintain and prioritize the configuration/FDE backlog.
Lead other FDEs and potentially coach Nexus Fellows.
Partner with core Product and Engineering teams when prototype/configuration work needs to become hardened product functionality.
Demonstrate working functionality directly to client stakeholders.
Technical Profile
Candidates should have meaningful hands-on experience with several of the following:
Python
Modern LLM APIs and frameworks
Agentic AI / orchestration
Prompt and context engineering
AI evaluation/testing
APIs and integration
JSON / data transformation
SQL and data analysis
Cloud environments
Rapid prototyping
Workflow/configuration platforms
Git and modern software-development practices
Healthcare experience is helpful but technical capability and FDE mentality are more important for this role.

Work arrangement
Yes

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