Technical Lead AI

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description:
We are looking for an experienced AI Practice Lead with strong AI literacy and proven expertise in designing implementing and integrating AI agents into enterprise systems. This role will lead the organizations AI strategy build scalable AI capabilities and drive real-world adoption of agentic AI solutions that deliver measurable business impact.

Key Responsibilities:

AI Strategy & Practice Leadership

Define and execute the AI practice vision roadmap and operating model.
Identify evaluate and prioritize AI agent use cases across business functions.
Establish AI standards governance security and responsible AI practices.
Build repeatable frameworks for AI agent design orchestration and deployment.

AI Agent Design & Implementation

Lead the design and development of AI agents using LLMs and agentic frameworks.
Implement multi-agent systems tool-using agents and workflow orchestration.
Integrate AI agents with enterprise systems (APIs databases CRMs ERPs data platforms).
Oversee prompt engineering RAG architectures fine-tuning and evaluation.
Ensure reliability observability and performance of AI agents in production.

Delivery & Architecture

Own end-to-end delivery of AI solutions from PoC to production.
Define reference architectures for agent-based AI GenAI and MLOps.
Ensure scalability security and compliance of AI solutions.
Review solution designs and provide technical direction to teams.

Client Engagement & Pre-Sales

Act as a trusted advisor to stakeholders on AI transformation and agent adoption.
Lead AI workshops discovery sessions and agent-based PoCs.
Support proposals RFPs and solution presentations with strong AI storytelling.

Team Building & Enablement

Build mentor and lead AI engineers data scientists and platform teams.
Upskill teams on AI literacy agent frameworks and best practices.
Drive innovation experimentation and continuous learning across the practice.

Required Skills & Qualifications:

12 years of experience in AI ML Data or Advanced Analytics with leadership experience.
Strong AI literacy including understanding of LLMs GenAI and agentic systems.
Proven hands-on experience in creating implementing and integrating AI agents.
Experience with agent frameworks (LangChain LlamaIndex AutoGen CrewAI etc.).
Strong understanding of RAG vector databases embeddings and evaluation metrics.
Experience integrating AI agents with enterprise APIs and workflows.
Proficiency with cloud AI platforms (AWS Azure GCP).
Solid understanding of security privacy and responsible AI.

Good to Have:

Experience setting up an AI Center of Excellence (CoE).
Knowledge of MLOps / LLMOps tools and practices.
Experience with multi-agent orchestration and workflow engines.
Consulting or client-facing experience.
Advanced degree in Computer Science AI or Data Science.

Job Description:We are looking for an experienced AI Practice Lead with strong AI literacy and proven expertise in designing implementing and integrating AI agents into enterprise systems. This role will lead the organizations AI strategy build scalable AI capabilities and drive real-world adoption ...

Define and execute the AI practice vision roadmap and operating model.
Identify evaluate and prioritize AI agent use cases across business functions.
Establish AI standards governance security and responsible AI practices.
Build repeatable frameworks for AI agent design orchestration and deployment.