Lead AI Engineer - Agentic & Generative AI

Richardson, TX, US • Posted 30+ days ago • Updated 4 hours ago
Full Time
On-site
USD 165,000.00 per year
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Recruiting
  • Staff Augmentation
  • Product Development
  • Generative Artificial Intelligence (AI)
  • TypeScript
  • JavaScript
  • SDK
  • Docker
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Roadmaps
  • Mentorship
  • Prompt Engineering
  • Scalability
  • Software Engineering
  • Machine Learning (ML)
  • Data Science
  • IT Management
  • Python
  • Cloud Computing
  • Workflow
  • Vector Databases
  • Artificial Intelligence
  • Evaluation
  • Communication
  • Stakeholder Management

Summary

Job Description

Lead AI Engineer - Agentic & Generative AI
Bravotech, a leader in IT staffing and staff augmentation services, is seeking a Lead AI Engineer for a premier client in Dallas, Texas. This hybrid role (2-3 days onsite weekly) will lead the architecture, strategy, and delivery of enterprise Agentic AI and Generative AI solutions. The ideal candidate will be a hands-on technical leader with deep expertise in LLMs, RAG architectures, multi-agent systems, cloud-native platforms, and AI product development at scale.

Top Skills
  • Generative AI & Agentic AI
  • Python & TypeScript/JavaScript
  • LLMs (OpenAI, Gemini, Claude)
  • RAG & Vector Databases
  • LangGraph, Agents SDK, Google ADK
  • Docker, Kubernetes, CI/CD
  • AWS, Azure, or Google Cloud Platform
  • AI Governance & Observability
  • Cursor, Windsurf, Codex

Key Responsibilities
  • Define AI strategy, architecture, and technical roadmaps.
  • Design and deploy scalable AI platforms, agents, copilots, and RAG solutions.
  • Lead AI engineering teams through architecture reviews, mentoring, and code reviews.
  • Partner with product and business leaders to identify and deliver high-value AI initiatives.
  • Establish standards for prompt engineering, evaluation, monitoring, governance, and responsible AI.
  • Optimize AI performance, reliability, scalability, and cost.

Qualifications
  • 8+ years of Software Engineering, ML Engineering, or Data Science experience.
  • 3+ years of hands-on Applied AI/LLM development.
  • 2+ years in a technical lead or architecture role.
  • Strong experience building production AI systems using Python and cloud-native technologies.
  • Expertise with LLMs, multi-agent workflows, RAG architectures, vector databases, and AI evaluation frameworks.
  • Excellent communication and stakeholder management skills.

Meet Your Recruiter

Angela Hardemon

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  • Dice Id: bravo
  • Position Id: 826d9ca7c19c04ddc32e6158f800c166
  • Posted 30+ days ago
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