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Your Role and Impact
Role: Lead GenAI & Agentic AI Architect / Technical Project Manager (68 Years)Key Responsibilities
- 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.
- 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.
Role: Lead GenAI & Agentic AI Architect / Technical Project Manager (68 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.
Skills
Data PrivacyPrompt EngineeringAiAi EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
R Systems is a global digital transformation leader providing AI-driven solutions and services that empower clients to innovate and improve their customers' experiences. Founded in 1993, we are a design-led digital engineering company with integrated product engineering, cloud, automation, data, and analytics capabilities. Our 3,800+ experts work across technology, media and telecom, healthcare, finance, and retail to accelerate digital transformation for companies around the world.
Important dates & deadlines?
Application Deadline
18 Dec 25, 05:30 PM IST
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