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AI / Agentic AI Technical Lead USA Any nearest Client office only on w2

BURGEON IT SERVICES LLCDallas, TX🇺🇸United StatesPosted 19 Aug 2026

Why This Role Stands Out

Lead the design and delivery of cutting-edge enterprise AI solutions, including AI agents and Generative AI, in this impactful hybrid role offering significant growth potential. You'll thrive here if you have a strong background in AI/ML, Python, and LLMs, and are eager to drive measurable business value in a dynamic environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

AI / Agentic AI Technical Lead
Location: USA Any nearest Client office
Duration: 12 months plus
Experience: 8 12 years
Please share your updated resume with me at pranayatburgeonitsdotcom
Job Description
We are looking for an AI / Agentic AI Technical Lead to lead the design and delivery of enterprise AI solutions, including AI agents, Generative AI, automation, and RAG-based applications. The role will work closely with business and technical teams to identify AI opportunities, define architecture, build solutions, and deliver measurable business value.
Mandatory Skills
  • 3+ years hands-on experience in AI/ML, Generative AI, Intelligent Automation, or Agentic AI.
  • Strong Python programming skills.
  • Experience with AI/ML frameworks such as LangChain, MLflow, TensorFlow, PyTorch, or Scikit-learn.
  • Strong experience with LLMs, RAG, embeddings, semantic search, and vector-based retrieval.
  • Hands-on experience designing and deploying AI-powered applications, AI agents, or automation solutions.
  • Experience with Pandas, NumPy, Spark, data engineering, feature engineering, and data processing.
  • Strong SQL skills and experience working with large enterprise datasets.
  • Strong understanding of AI architecture, orchestration frameworks, enterprise integrations, governance, security, and Responsible AI.
  • Experience with MLOps, including model versioning, experiment tracking, and pipeline orchestration.
  • Strong data analysis, business process assessment, problem-solving, and analytical skills.
  • Excellent communication skills with the ability to explain AI concepts to technical and non-technical stakeholders.
  • Ability to collaborate with cross-functional business and technology teams.
  • Bachelor s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
Preferred
  • Agentic AI frameworks, prompt engineering, and workflow orchestration.
  • LLM/foundation model training, fine-tuning, and optimization.
  • Vector databases, semantic indexing, and enterprise knowledge retrieval.
  • Experience identifying AI/GenAI opportunities from application backlogs.
  • Experience developing business cases, implementation roadmaps, and value/ROI metrics.
  • Enterprise AI transformation, application modernization/rationalization, or digital transformation.
  • Microservices, APIs, event-driven architecture, and CI/CD.
  • Tableau, Power BI, or Looker.
  • Background in NLP, information retrieval, or intelligent automation.

Skills

Microservices
SQL
Looker
MLOps
MLflow
NLP
NumPy
Scikit-learn
Tableau
Generative AI
LLM
Pandas
Power BI
PyTorch
Python
TensorFlow

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