Lead Forward Deployment Engineer (UI, Front-End, AI)

Insight Global

Irving (TX)

On-site

USD 160,000 - 210,000

Full time

14 days+
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Job summary

Insight Global is seeking a Lead AI & Front-End Engineer to support a leading enterprise healthcare organization within its Analytics & Behavioral Change organization. This role focuses on Agent IQ, an enterprise GenAI platform for automating healthcare workflows and agent-based experiences.

You will lead the UI for AI-powered interfaces, collaborate with product owners, data scientists, and stakeholders to translate requirements, and drive front-end architecture and real-time integrations with

Qualifications

  • 10+ years of software engineering with focus on front-end and AI-enabled solutions.
  • Expert-level React development experience with MUI, AntD, responsive design, and cloud deployments.
  • Experience designing conversational AI interfaces (chat, streaming, citations, file attachments).
  • Strong knowledge of state management (Redux, Zustand, React Context).
  • Experience with authentication/authorization (OAuth2, JWT, SSO, RBAC).
  • Experience integrating REST/GraphQL with Python back-end (FastAPI or Flask).
  • Working knowledge of Python and SQL; experience with LLMs in production; RAG architectures.
  • Familiarity with Docker and CI/CD; front-end observability and telemetry.
  • Onsite in Dallas/Irving at least one day per week.

Responsibilities

  • Lead development of the user-facing experience for the Agent IQ platform, with a focus on conversational AI applications.
  • Design and build modern AI-powered interfaces that provide seamless interactions between users and agentic workflows.
  • Partner closely with product owners, squad leaders, data scientists, and business stakeholders to translate requirements into scalable solutions.
  • Contribute to technical roadmap planning and execution within an Agile delivery model.
  • Drive front-end architecture decisions, engineering best practices, and technical design reviews.
  • Collaborate on real-time integrations with enterprise platforms including RxClaim, Salesforce, SAP, and other legacy systems.
  • Help shape and scale the next generation of AI-driven healthcare solutions that improve operational efficiency and decision-making.

Skills

React development
Frontend architecture
AI-enabled solutions
Conversations UI

Tools

Material UI
Ant Design
Redux
Zustand
React Context
OAuth2
JWT
SSO
RBAC
REST APIs
GraphQL
FastAPI/Flask
Python
SQL
Docker
CI/CD
LLMs

Job description

Job Description

Insight Global is seeking a Lead AI & Front-End Engineer to support a leading enterprise healthcare organization within its Analytics & Behavioral Change organization. This team serves as a centralized analytics and technology partner, delivering innovative solutions across Pharmacy Benefit Management (PBM) and Specialty Pharmacy operations.

The engineer will join a strategic initiative focused on Agent IQ, an enterprise GenAI platform designed to automate and augment key healthcare workflows through intelligent, agent-based experiences. Agent IQ supports use cases across pharmacy appeals, network operations, fraud detection, operational decision support, and other critical business functions.

Key Responsibilities
  • Lead development of the user-facing experience for the Agent IQ platform, with a focus on conversational AI applications

  • Design and build modern AI-powered interfaces that provide seamless interactions between users and agentic workflows

  • Partner closely with product owners, squad leaders, data scientists, and business stakeholders to translate requirements into scalable solutions

  • Contribute to technical roadmap planning and execution within an Agile delivery model

  • Drive front-end architecture decisions, engineering best practices, and technical design reviews

  • Collaborate on real-time integrations with enterprise platforms including RxClaim, Salesforce, SAP, and other legacy systems

  • Help shape and scale the next generation of AI-driven healthcare solutions that improve operational efficiency and decision-making

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
  • 10+ years of software engineering experience with a strong focus on front-end development and AI-enabled solutions

  • Expert-level React development experience, including:

    - Material UI (MUI)

    - Ant Design (AntD)

    - Responsive web application development

    - Deploying React applications in cloud environments

  • Experience designing and building conversational AI user interfaces, including:

    - Chat experiences

    - Streaming responses

    - Markdown rendering

    - Citations and source attribution

    - File attachments

  • Strong knowledge of state management frameworks such as Redux, Zustand, or React Context

  • Experience implementing authentication and authorization solutions, including OAuth2, JWT, SSO, and/or RBAC

  • Experience integrating REST APIs, GraphQL services, and Python-based back-end frameworks such as FastAPI or Flask

  • Working knowledge of Python and SQL queries

  • Experience integrating Large Language Models (LLMs) into production applications

  • Hands-on experience with Retrieval-Augmented Generation (RAG) architectures and citation-based response experiences

  • Familiarity with Docker and CI/CD pipelines

  • Experience implementing front-end observability, telemetry, and monitoring solutions

  • Ability to work onsite in Dallas/Irving at least one day per week

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