Agentic AI COE Leader

Remote

NewRocket

NewRocket is a full-service, elite ServiceNow partner that helps enterprise leaders solve their toughest business problems and navigate change with confidence.

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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.

 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI strategy Architecture Banking Computer Science Deep Learning Distributed Systems Engineering Generative AI LLMs Machine Learning Microservices ML models MLOps NLP Privacy Python PyTorch TensorFlow

Perks/benefits: Career development

Region: Remote/Anywhere

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