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AI Technical Lead
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-06-18
Listing for:
HNE
Full Time
position Listed on 2026-06-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, Machine Learning/ ML Engineer
Job Description & How to Apply Below
We are looking for an experienced AI Technical Lead / Senior Engineer to drive the design, development, and deployment of enterprise‑scale Generative AI and Agentic AI solutions. The ideal candidate will have deep expertise in LLMs, Agentic AI, AI best practices, and cloud‑native AI deployments.
This is a customer‑facing role requiring a blend of technical leadership, solution architecture, and forward‑deployed engineering capabilities. Experience in Banking & Treasury domains is preferred.
Key Responsibilities- Lead the design and delivery of Generative AI and Agentic AI solutions from concept to production.
- Architect and implement Agentic AI systems, including multi‑agent workflows, memory architectures, RAG‑based solutions and tool integrations.
- Design and develop AI applications leveraging MCP, external APIs and other knowledge bases or business systems.
- Define and implement AI evaluation frameworks covering response quality, groundedness, hallucination detection, agent performance, and observability.
- Leverage AI‑assisted development tools such as Claude Code, Git Hub Copilot, Cursor or similar platforms to accelerate engineering productivity.
- Deploy, monitor, and optimize AI solutions on Azure, AWS, or Google Cloud platforms.
- Work closely with customers to understand business requirements and translate them into scalable AI solutions.
- Provide technical leadership, mentor engineering teams, and establish AI engineering best practices.
- Collaborate with product, engineering, and business stakeholders to ensure successful solution delivery.
- 10+ years of experience in AI/ML, Data Science, Software Engineering, or related engineering roles.
- Strong expertise in Python and modern AI development frameworks.
- Strong experience with Generative AI, LLMs, RAG architectures, Agentic AI frameworks, and multi‑agent systems.
- Hands‑on experience with MCP, agent orchestration frameworks, memory management, and tool‑calling architectures.
- Experience with AI evaluation, monitoring, observability, and governance frameworks.
- Hands‑on experience with AI coding platforms such as Claude Code, Git Hub Copilot, Cursor, or equivalent.
- Experience building and deploying production‑grade AI applications and autonomous agent solutions.
- Strong experience with Azure, AWS, or Google Cloud.
- Excellent communication, consulting, and stakeholder management skills.
- Ability to engage directly with customers and operate effectively in a forward‑deployed engineering role.
- Experience with Lang Graph, CrewAI, Auto Gen or similar agent orchestration frameworks.
- Experience with AI governance, model risk management, and responsible AI practices.
- Familiarity with MLOps, LLMOps, CI/CD pipelines, and cloud‑native architectures.
- Experience leading technical teams and delivering enterprise‑scale AI transformation initiatives.
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