AI Delivery Lead

Bangalore, Karnataka, India

Pearson

Discover all Pearson has to offer for every step of your learning journey.

View all jobs at Pearson

Apply now Apply later

Key Responsibilities

  • Project Leadership:
    • Manage automation and AI project lifecycle from requirements gathering to deployment and post-launch support.
    • Develop project plans, define milestones, allocate resources, and track progress against OKRs.
  • Technical Delivery Management:
    • Collaborate with architects, developers, business analysts, and AI/ML engineers to deliver solutions on platforms like UiPathMicrosoft Power Platform, and AI frameworks.
    • Guide the technical scoping, design, and integration efforts for process automation, document intelligence, agentic AI bots, and decisioning workflows.
  • Stakeholder Engagement:
    • Act as the primary point of contact for business units, IT, and leadership teams.
    • Translate business needs into technical deliverables, ensuring alignment on priorities, risks, and benefits.
  • Quality & Risk Management:
    • Implement governance, testing, and deployment best practices to ensure reliable, compliant automation outcomes.
    • Proactively manage risks, dependencies, and change control.
  • Innovation and Continuous Improvement:
    • Stay current with automation, AI, and agentic AI trends.
    • Champion reusability, scalability, and best practices within the COE.

 

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 7+ years of experience managing technical projects, preferably in automation, RPA, AI/ML, or digital transformation.
  • Hands-on exposure to UiPathMicrosoft Power Automate/Power Apps, or equivalent automation platforms.
  • Understanding of AI concepts like NLP, document understanding, LLMs, and agentic frameworks is a strong plus.
  • Proven ability to manage multiple initiatives simultaneously in a matrixed organization.
  • Strong analytical, communication, and stakeholder management skills.
  • Agile certification (e.g., SAFe, Scrum Master) is desirable.

 

Preferred Attributes:

  • Experience working in a COE or Center of Excellence model.
  • Familiarity with cloud environments (Azure, AWS) and API integrations.
  • A mindset for continuous learning, collaboration, and value-driven delivery.
Apply now Apply later

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

Job stats:  1  0  0

Tags: Agile APIs AWS Azure Computer Science Engineering LLMs Machine Learning NLP OKR Robotics RPA Scrum Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

More jobs like this