Lead AI Engineer

7 days ago

Noida, Uttar Pradesh, India R Systems Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Your Role and Impact

  • Architect & Design scalable enterprise-grade GenAI and Agentic AI solutions using SLMs, Crew.AI, and multi-agent orchestration.
  • Implement AI governance layer – model monitoring, bias detection, audit trails, explainability, and security controls.
  • Lead technical project management – requirement gathering, sprint planning, backlog prioritization, and delivery ownership.
  • Hands-on development of LLMOps/MLOps pipelines, CI/CD for AI models, and scalable deployment on Azure / hybrid environments.
  • Build and optimize SLM-based systems ensuring performance, scalability, and cost efficiency.
  • Stay updated with emerging AI trends, research, and governance frameworks, driving POCs and innovation adoption.
  • Ensure compliance with Responsible AI principles, data privacy, and enterprise security standards.
  • Mentor and guide teams on GenAI, governance practices, and system design.

*Key Skills*

  • Strong expertise in Prompt Engineering, SLMs, Crew.AI, Agentic AI frameworks.
  • Proven hands-on experience with Docker, Kubernetes, cloud/on-prem deployments (Azure preferred).
  • Knowledge of governance frameworks for AI (bias mitigation, monitoring, compliance).
  • Experience in LLMOps/MLOps, CI/CD pipelines, model lifecycle management.
  • Strong understanding of system design, scalability, and performance optimization.
  • Technical project management and team leadership capabilities.
  • Research-driven mindset with ability to evaluate and adopt new AI trends.

Your Contribution
*Role: Lead – GenAI & Agentic AI Architect / Technical Project Manager (6–8 Years)
Key Responsibilities*

  • Architecture & System Design

  • Architect and implement enterprise-grade GenAI & Agentic AI solutions using SLMs, Crew.AI, Prompt Engineering, and multi-agent orchestration.

  • Design scalable and secure cloud/on-prem systems leveraging Azure Stack, Kubernetes, Docker, and distributed AI pipelines.

  • Governance & Compliance

  • Implement AI governance frameworks including model monitoring, auditability, bias detection, explainability, and security controls.

  • Establish guardrails and policy layers for safe deployment of Agentic AI systems in enterprise environments.

  • Ensure compliance with data privacy, responsible AI, and regulatory standards.

  • Technical Project Management

  • Lead cross-functional execution, driving AI/GenAI projects from requirement gathering to delivery with clear technical roadmaps.

  • Manage sprints, prioritize backlog, and ensure timely delivery of milestones.

  • Hands-on Engineering

  • Build and deploy LLMOps/MLOps pipelines for experimentation, versioning, CI/CD of models, and continuous monitoring.

  • Lead hands-on development of AI agents, integrating with enterprise APIs and applications.

  • Research & Emerging Trends

  • Track and evaluate latest advancements in GenAI, Agentic AI, governance frameworks, and SLM optimization.

  • Conduct POCs and benchmarking to assess new technologies for enterprise adoption.

  • Leadership & Mentorship

  • Mentor teams on AI governance, system design, and SLM/Agentic AI engineering.

  • Drive knowledge-sharing sessions and contribute to long-term AI strategy.

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