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AI Engineer Lead
JPS Tech Solutions Pvt Ltd
3 hours ago
Full-time
On-site
Kentucky, United States
Job Description:
We are seeking a highly experienced Lead AI Engineer with strong expertise in Artificial Intelligence, Commercial Generative AI, Agentic AI, and Claude Code. The ideal candidate will have a multidisciplinary background spanning software engineering, data, infrastructure, AI architecture, and automation.
The candidate will be responsible for designing, building, securing, and governing AI agent ecosystems and execution environments, while establishing technical standards, validation frameworks, security controls, observability, and reliability mechanisms for enterprise AI platforms.
Key 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 automated testing pipelines for AI agents and AI-enabled solutions.
Implement policy enforcement, security controls, and compliance gates across AI workflows.
Build feedback loops and mechanisms to support self-healing AI workflows.
Develop and manage benchmarks, golden datasets, and evaluation frameworks.
Establish strong auditability, observability, monitoring, and reliability for AI systems.
Design and implement specialized AI agents based on business and technical requirements.
Provide technical leadership for domain-level AI architecture and AI-embedded platforms.
Create solution architecture, technical design documents, standards, and reusable AI engineering patterns.
Support Greenfield, Brownfield, legacy modernization, and SaaS conversion programs.
Collaborate with engineering, infrastructure, data, security, and business teams to deliver production-ready AI solutions.
Required Qualifications
12+ years of overall IT/software engineering experience.
Strong hands-on expertise in Artificial Intelligence and Commercial Generative AI.
Strong experience with Claude Code, including building and hardening AI harnesses.
Experience designing and implementing Agentic AI systems and AI orchestration workflows.
Strong understanding of AI engineering, automation, infrastructure, data, and software development.
Experience building AI validation, testing, evaluation, and governance frameworks.
Experience with AI security, compliance, policy enforcement, and enterprise governance.
Strong experience with observability, auditability, reliability, and performance optimization for AI systems.
Experience working on legacy, Brownfield, Greenfield, SaaS, and regulatory projects.
Strong ability to create solution designs, technical designs, AI skills, templates, and reusable engineering frameworks.
Core Expertise
End-to-end conversational-to-production AI workflows
AI agent and skills development
Claude Code harness development and hardening
AI testing and automation
Agent validation and evaluation
AI security and compliance
Policy enforcement and governance
Golden datasets and benchmarking
AI observability and auditability
Greenfield / Brownfield modernization
SaaS conversion programs
Technical architecture and solution design
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We are seeking a highly experienced Lead AI Engineer with strong expertise in Artificial Intelligence, Commercial Generative AI, Agentic AI, and Claude Code. The ideal candidate will have a multidisciplinary background spanning software engineering, data, infrastructure, AI architecture, and automation.
The candidate will be responsible for designing, building, securing, and governing AI agent ecosystems and execution environments, while establishing technical standards, validation frameworks, security controls, observability, and reliability mechanisms for enterprise AI platforms.
Key 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 automated testing pipelines for AI agents and AI-enabled solutions.
Implement policy enforcement, security controls, and compliance gates across AI workflows.
Build feedback loops and mechanisms to support self-healing AI workflows.
Develop and manage benchmarks, golden datasets, and evaluation frameworks.
Establish strong auditability, observability, monitoring, and reliability for AI systems.
Design and implement specialized AI agents based on business and technical requirements.
Provide technical leadership for domain-level AI architecture and AI-embedded platforms.
Create solution architecture, technical design documents, standards, and reusable AI engineering patterns.
Support Greenfield, Brownfield, legacy modernization, and SaaS conversion programs.
Collaborate with engineering, infrastructure, data, security, and business teams to deliver production-ready AI solutions.
Required Qualifications
12+ years of overall IT/software engineering experience.
Strong hands-on expertise in Artificial Intelligence and Commercial Generative AI.
Strong experience with Claude Code, including building and hardening AI harnesses.
Experience designing and implementing Agentic AI systems and AI orchestration workflows.
Strong understanding of AI engineering, automation, infrastructure, data, and software development.
Experience building AI validation, testing, evaluation, and governance frameworks.
Experience with AI security, compliance, policy enforcement, and enterprise governance.
Strong experience with observability, auditability, reliability, and performance optimization for AI systems.
Experience working on legacy, Brownfield, Greenfield, SaaS, and regulatory projects.
Strong ability to create solution designs, technical designs, AI skills, templates, and reusable engineering frameworks.
Core Expertise
End-to-end conversational-to-production AI workflows
AI agent and skills development
Claude Code harness development and hardening
AI testing and automation
Agent validation and evaluation
AI security and compliance
Policy enforcement and governance
Golden datasets and benchmarking
AI observability and auditability
Greenfield / Brownfield modernization
SaaS conversion programs
Technical architecture and solution design
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