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NewRocket

Agentic AI COE Leader

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Job Description: Agentic AI COE Leader

Position Overview
We are seeking an experienced Agentic AI COE Leader to drive the development of advanced AI skills, assets and solutions in a services business environment. The ideal candidate will have a strong background in enterprise software, particularly with ServiceNow, and a proven ability to building AI skills and capabilities for transformation initiatives. This role combines technical expertise, strategic vision, and leadership to deliver innovative AI solutions that enhance automation, decision-making, and operational efficiency.

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.


What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
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