Agentic AI Lead

Nityo Infotech; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Nityo Infotech in United States (Santa Clara, CA) is seeking a Lead AI Engineer with Agentic AI experience to architect, lead, and deliver production-grade AI solutions for enterprise use. You will guide development teams, build multi-agent systems, and ensure scalable, secure deployment.

The role requires 5+ years in AI/ML, hands-on with LangGraph, LangChain, LLMs, and prompt engineering, plus cloud deployment and API integration.

Qualifications

• 5+ years of AI/ML experience required.
• Minimum 1 year building Agentic AI solutions.
• Proficiency in Python and modern software engineering practices.
• Hands-on with LangGraph, LangChain, and LLMs.
• Experience deploying enterprise AI applications.
• Familiar with major cloud AI platforms (Azure AI Foundry, AWS Bedrock, Google Gemini).

Responsibilities

• Lead architecture and design for Agentic AI applications.
• Build and oversee AI agents and multi-agent systems.
• Design and optimize AI workflows across multiple LLMs.
• Guide teams and establish development best practices.
• Drive deployment, orchestration, and scalability of AI services.
• Collaborate with platform, security, data, and product teams.

Skills

AI/ML experience

Agentic AI

Python

LLMs

Prompt engineering

Enterprise AI deployment

Communication

Stakeholder management

Problem solving

Cloud deployment

Tools

LangGraph

LangChain

APIs

CI/CD

Azure AI Foundry

AWS Bedrock

Google Gemini Enterprise

Job description

Lead AI Engineer with Agentic AI Experience

Lead AI Engineer to architect, lead, and deliver production-grade Agentic AI solutions for enterprise use. The individual will drive solution design, guide development teams, build multi-agent AI systems, and ensure scalable, secure, and reliable deployment in production environments.

Scope of Work

• Lead architecture and solution design for Agentic AI applications.
• Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
• Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
• Guide engineering teams and establish development best practices.
• Develop enterprise integrations, APIs, and event-driven AI services.
• Drive deployment, operationalization, and scalability of AI applications.
• Coordinate with platform, security, data, and product teams to ensure successful delivery.
• Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.

Must-Have Skills

• 5+ years of experience in AI/ML.
• 1+ years of experience building Agentic AI solutions.
• Strong expertise in Python and modern software engineering practices.
• Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
• Experience architecting and deploying enterprise AI applications.
• Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
• Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
• Proven ability to lead technical initiatives and drive solution delivery.
• Excellent communication, stakeholder management, and problem-solving skills.
• Experience with enterprise data integration and AI application deployment.