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Forward Deployment Engineer

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Onsite

Forward Deployment Engineer

Infinite

Forward Deployment Engineer

Skills

SQL QueriesPythonData AnalysisAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

20 September 2026

What they need


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.**********

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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