Embedded AI/Workflow Engineer - Client-Facing Lead

Infinite Computer Solutions

Campus (IL)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Infinite Computer Solutions is seeking a Senior FDE Lead to serve as the embedded client-facing technical builder, converting decisions into working AI configurations and prototypes. The role blends software/AI engineering, solution architecture, rapid prototyping and direct client presence.

The candidate should translate requirements into technical approaches, build rapidly, test with users, iterate in near-real time, and demonstrate results to stakeholders.

Qualifications

  • Masters degree required.
  • 10–15 years relevant experience.

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 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.

Skills

Python
LLM APIs
Agentic AI
Prompt engineering
AI evaluation
APIs
JSON
SQL
Cloud
Rapid prototyping
Workflow
Git

Education

Masters

Job description

Infinite Computer Solutions is seeking a Senior FDE Lead to serve as the embedded client-facing technical builder, converting decisions into working AI configurations and prototypes. The role blends software/AI engineering, solution architecture, rapid prototyping and direct client presence.

The candidate should translate requirements into technical approaches, build rapidly, test with users, iterate in near-real time, and demonstrate results to stakeholders.

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