Agentic AI COE Leader

Key Responsibilities

• AI Capability Development
• Defines and executes the roadmap for building agentic AI skills development and training, solutions, aligning with business objectives and industry trends.
• Collaborates with cross-functional teams to integrate AI capabilities into existing solutions, workflows and services.
• Works with clients to understand AI roadmaps, AI needs to identify opportunities in AI
• AI Solution Design and Architecture
• Lead the design, development, and deployment of agentic AI applications that exhibit autonomy, adaptability, and goal-oriented behavior.
• Develop scalable architectures for multi-agent systems that can handle complex, cross-departmental workflows.
• Develop scalable architectures that integrate seamlessly with ServiceNow platforms for ITSM, HRSD, SecOps, or other enterprise workflows.
• Implement MLOps processes for model development, deployment, monitoring, and optimization.
• AI Innovation and Strategy
• Stay at the forefront of AI advancements, particularly in agentic AI, autonomous systems, and enterprise AI applications.
• Stays update on advancements in agentic AI technologies, including large language models (LLMs), autonomous agents, and machine learning frameworks.
• Conduct experiments and proof-of-concepts to evaluate new AI technologies and their potential impact on business processes.
• Contribute to the company's AI strategy by providing technical insights and recommendations.
• Team Development and Collaboration
• Mentor technical teams to foster innovation and develop expertise in agentic AI technologies.
• Ensure delivery success of AI projects working with delivery leaders
• Act as a bridge between technical teams and business stakeholders to translate complex AI concepts into actionable strategies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
• At least 5+ years of experience in applied machine learning or enterprise AI solutions, including deep learning, NLP, or generative AI.
• Hands-on experience with ServiceNow platforms and integrating AI into enterprise workflows.
• Expertise in designing autonomous systems using LLMs or multi-agent architectures.
• Proficient in Python and advanced ML frameworks such as TensorFlow or PyTorch; familiarity with MLOps tools is a plus.
• Worked in a IT and/or engineering services business working across clients and industries
• Knowledge of distributed systems and microservices architecture.

Preferred Skills

• Strong understanding of ServiceNow Agentic AI capabilities (e.g., Virtual Agents, workflow orchestration).
• Experience with human-in-the-loop or human-on-the-loop systems for training autonomous agents.
• Knowledge of data privacy regulations and governance frameworks for ethical AI implementation.
• Experience in one or more of the following industries – Banking, Telco, Energy and Utilities
• Understanding of IT service management (ITSM) processes and workflows.