Lead AI Engineer - Agentic & Generative AI
Job in
Richardson, Dallas County, Texas, 75082, USA
Listed on 2026-06-02
Listing for:
BravoTech
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
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 & Type Script/Java Script
- LLMs (OpenAI, Gemini, Claude)
- RAG & Vector Databases
- Lang Graph, Agents SDK, Google ADK
- Docker, Kubernetes, CI/CD
- AWS, Azure, or GCP
- AI Governance & Observability
- Cursor, Windsurf, Codex
- 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.
- 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.
Angela Hardemon
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