What are the responsibilities and job description for the Lead AI Engineer - Agentic & Generative AI position at Bravo Technical Resources?
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
Key Responsibilities
Qualifications
Meet Your Recruiter
Angela Hardemon
Text me about this job -
Please include your name and Job Title in your Text.
Thanks!
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
Text me about this job -
Please include your name and Job Title in your Text.
Thanks!
Salary : $165,000