Senior Manager, AI Ops [T500-28378]

Talent500 is hiring for one of its clients.

Who are we:

Core Insurance Platforms (CIP) is Zurich’s global capability responsible for building, running, and evolving core insurance technology. We set a unified, scalable operating model—covering governance, standards, architecture, service delivery, and reuse—so our business units can deliver at speed and scale.

CIP is the strategic steward of Zurich’s Guidewire ecosystem, aligning platform roadmaps to business strategy while driving stability, modernization, reduced supplier dependency, and long term cost efficiency.

India delivery center is one of our global delivery and capability hub. We bring together experts in AI, engineering, analysis, quality, and architecture to deliver product & process solutions, application run services, change and transformation initiatives, and centralized platform services across both on prem and Guidewire Cloud environments. Our teams operate from multiple global delivery centers, supporting Zurich’s business units worldwide.

Role: Senior Manager, AI Ops

Value Proposition:

Join the Digital Employee Experience function as a hands-on technical leader shaping how AI transforms IT operations and the employee experience at enterprise scale. As DEX Factory AI Team Leader, you will lead through expertise by setting technical direction, coaching engineers, and personally contributing to the design and delivery of AI solutions used by a broad internal workforce. The role offers the opportunity to influence standards for responsible AI, agentic automation and AI-driven employee experience while working with senior experts across regions to define and implement practical, high-value solutions.

Our Mission Statement:

To reimagine IT operations and the employee experience through AI, delivering intelligent, reliable and secure automation that empowers employees across platforms. The team combines deep technical expertise with a strong focus on measurable value, operational reliability and continuous innovation.

Responsibilities:

• Provide technical leadership for the AI engineering team by defining standards, reusable patterns and architectural direction for AI solutions across IT operations and employee experience.
• Lead through expertise, remaining hands-on in design, prototyping, coding and review of critical AI components such as LLM-based agents, retrieval-augmented generation pipelines and intelligent automations.
• Own and shape the AI engineering roadmap in collaboration with product owners, architects, security partners and business stakeholders.
• Define how AI will reshape employee experience, translating strategic intent into a clear backlog of initiatives with measurable outcomes.
• Coach, mentor and develop AI engineers, fostering a culture of learning, accountability, engineering excellence and responsible AI adoption.
• Ensure solutions align with enterprise requirements for security, privacy, responsible AI, regulatory awareness and operational reliability, including consideration of EU AI Act principles.
• Establish and continuously improve engineering practices covering code review, CI/CD, MLOps or LLMOps, evaluation frameworks, observability and cost management.
• Represent the team in architecture, governance and cross-functional forums, contributing to enterprise AI standards and reusable capabilities.
• Identify and prioritize high-value automation opportunities across IT operations, employee support and service delivery.
• Partner with platform leads across Windows, Mac, VDI, Mobile and Service Management to embed AI into existing services and experiences.
• Drive continuous improvement using analytics, experimentation, operational feedback and adoption measurement.

Your Skills and Experience:

The ideal candidate is a seasoned AI and software engineering professional who leads primarily through technical credibility and hands-on contribution rather than people management alone. This person is comfortable working in code, discussing architecture with senior stakeholders, coaching engineers and translating operational problems into scalable AI-enabled solutions.

Specific Requirements:

• 6+ years of software and AI engineering experience, including at least 2 years in a technical leadership capacity such as tech lead, staff engineer or similar role.
• Proven track record of delivering AI, ML or Generative AI solutions into production within enterprise environments.
• Deep hands…