Your career here is about believing in yourself and seizing new opportunities and challenges. It's about expanding your skills and expertise in your current role and preparing yourself for future advancements. That's why we encourage you to take every opportunity to further your career within our great global team.
Team & Capability Development
- Lead, mentor, and grow a team of1520 AI engineers and specialistsacross multiple AI disciplines.
- Define and implementcapability development plans(skills roadmap, certifications, training) to keep the team aligned with emerging AI technologies.
- Foster a culture ofengineering excellence, collaboration, and continuous improvement.
AI Solution Delivery
- Overseeend-to-end implementationof AI solutions (design, build, test, deploy, and support).
- Ensure solutions arescalable, reliable, and compliantwith enterprise standards.
- Manage day-to-day project execution, ensuring delivery timelines, SLAs, and quality metrics are consistently met.
- Provide hands-on technical guidance where needed (architecture reviews, debugging issues, solution optimization).
AI Operations (AIOps, LLMOps, AgentOps)
- Establish and runAI operations frameworksfor monitoring, retraining, fine-tuning, and maintaining AI systems in production.
- Implement operational dashboards and reporting mechanisms to track model performance, uptime, and drift.
- Ensure adherence toAI governance, data privacy, and ethical AI standards.
- Drive incident management and continuous improvements for production AI systems.
Operational Leadership
- Manageresource allocation, workload distribution, and day-to-day operationsof the AI delivery team.
- Standardize delivery processes and playbooks to ensure repeatability and consistency.
- Collaborate with solution architects, cloud teams, and data engineering teams to ensure smooth integration of AI solutions.
- Act as theescalation pointfor technical and operational issues within delivery.
Qualifications & Experience
- 12+ yearsin IT services/consulting with at least35 years in AI/ML solution delivery leadership.
- Proven experience managingdelivery teams of 1020+ engineers.
- Hands-on understanding of AI/ML tech stack, including:
- GenAI & LLMs(LangChain, RAG, orchestration frameworks, vector databases).
- MLOps/LLMOps/AgentOpspractices (CI/CD pipelines, model monitoring, retraining).
- Cloud AI services (AWS, Azure, GCP).
- Strong track record of runningday-to-day operations, governance, and delivery management.
- Excellent problem-solving, communication, and team management skills.
Preferred Skills
- Experience inproductionizing AI solutions at scale.
- Exposure toagentic AI use cases(AI agents for automation, workflows, etc.).
- Certifications incloud AI/ML platforms.
- Practical experience withAI governance frameworks.
