Lead AI Engineer - Agentic & Generative AI

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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