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Gen AI Platform Consultant

Hexaware
Location
United States
Workplace
Employment
Full Time
Salary
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Posted 1mo ago

Engineering Lead – AI & GenAI

We are seeking an experienced Engineering Lead to manage multiple software engineering teams and drive AI-first development initiatives. The ideal candidate will have strong leadership skills combined with hands-on expertise in AI Agents, LLMs, Generative AI, Azure, .NET, Python, and React.

Primary Skills

  • Strong software engineering background with hands-on experience in AI technologies.
  • Demonstrated expertise in implementing AI-first approaches, including creating AI agents and harnesses.
  • Hands-on experience with Large Language Models (LLM) and Generative AI (GenAI).
  • Proficiency in Microsoft technology stack, including Azure cloud services and .NET framework.
  • Strong programming skills in Python and React.
  • Experience with DevOps practices, including GitHub repositories and GitHub Actions pipelines.
  • Familiarity with AI-assisted development tools such as GitHub Copilot and Factory AI.\
  • Lead and mentor multiple engineering teams.
  • Drive AI adoption across the SDLC, including AI agents, harnesses, and GenAI solutions.
  • Collaborate with program and portfolio leaders to deliver strategic objectives.
  • Establish coding standards, conduct code reviews, and ensure engineering excellence.
  • Manage Azure infrastructure, GitHub repositories, and GitHub Actions pipelines.
  • Champion AI-assisted development tools such as GitHub Copilot and Factory AI.
  • Foster innovation through AI showcases and continuous improvement initiatives.

Key Responsibilities

Required Skills

  • 7+ years of engineering leadership experience.
  • Hands-on experience with AI Agents, LLMs, GenAI, and AI-first development.
  • Strong expertise in Microsoft Azure, .NET, Python, and React.
  • Experience with GitHub, GitHub Actions, and DevOps practices.
  • Familiarity with GitHub Copilot and Factory AI.
  • Excellent leadership, stakeholder management, and communication skills.

Skills

  • AI models
  • AZURE
  • Amazon Web Services
  • Application Deployment
  • Authentication - Authorization
  • CI CD Pipeline
  • Containerization
  • Data protection principles
  • Database Integration
  • Deep Learning Frameworks
  • Digital Optimization
  • Docker
  • Encryption Technique
  • GenAI - Data Science
  • GitHub
  • GitHub Actions
  • Google Cloud Platform
  • Graphic Tools
  • Jenkins
  • Model pruning - distillation
  • Model quantizationAccelerators
  • Networking principles
  • ONNX
  • TPUs
  • Travis CI

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