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

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.