Lead AI Engineer: Enterprise Agent Architect

JPS Tech Solutions Pvt Ltd

New York, Northern (NY, KY)

Hybrid

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

JPS Tech Solutions Pvt Ltd is seeking a Lead AI Engineer to helm enterprise AI platforms, focusing on agentic AI, Claude Code harnesses, and robust governance. You will guide architecture, security, and reliability across AI ecosystems.

The role demands deep experience in AI engineering and hands-on leadership to design scalable, secure AI workflows and automation for complex enterprise environments.

Qualifications

  • 12+ years of IT/software engineering experience.
  • Strong hands-on expertise in Artificial Intelligence and Commercial Generative AI.
  • Experience designing AI agent ecosystems and AI orchestration workflows.
  • Experience with AI security, governance and compliance in enterprise settings.
  • Ability to create reusable AI engineering patterns and templates.

Responsibilities

  • Design and build AI agent and skills execution environments for enterprise applications.
  • Build and harden Claude Code harnesses, skills, templates, and agent execution workflows.
  • Develop validation and automation pipelines for AI agents and solutions.
  • Implement policy enforcement, security controls, and governance gates across AI workflows.
  • Establish observability, auditability, and reliability for AI systems.
  • Provide technical leadership for AI architecture and AI-embedded platforms.
  • Collaborate with engineering, data, security, and business teams to deliver production-ready AI solutions.

Skills

AI engineering
Generative AI
Agentic AI
Claude Code
Technical architecture
Automation
Security controls
Observability
Reliability engineering
Enterprise governance
SaaS modernization
AI orchestration

Tools

Claude Code harnesses

Job description

JPS Tech Solutions Pvt Ltd is seeking a Lead AI Engineer to helm enterprise AI platforms, focusing on agentic AI, Claude Code harnesses, and robust governance. You will guide architecture, security, and reliability across AI ecosystems.

The role demands deep experience in AI engineering and hands-on leadership to design scalable, secure AI workflows and automation for complex enterprise environments.

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