AI Solutions Delivery

We are seeking a hands-on operational leader to head our AI Solution Delivery team. This role will oversee a team of 15-20 AI engineers focused on building, deploying, and supporting Generative AI (GenAI), Agentic AI, and broader AI-driven solutions. The leader will be accountable for day-to-day operations, capability development, and ensuring reliable delivery for client projects. Unlike sales or business development roles, this position is dedicated to delivery excellence, team leadership, and operational governance

Team & Capability Development

• Lead, mentor, and grow a team of 15-20 AI engineers and specialists across multiple AI disciplines.
• Define and implement capability development plans (skills roadmap, certifications, training) to keep the team aligned with emerging AI technologies.
• Foster a culture of engineering excellence, collaboration, and continuous improvement.

AI Solution Delivery

• Oversee end-to-end implementation of AI solutions (design, build, test, deploy, and support).
• Ensure solutions are scalable, reliable, and compliant with 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 run AI operations frameworks for 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 to AI governance, data privacy, and ethical AI standards.
• Drive incident management and continuous improvements for production AI systems.

Operational Leadership

• Manage resource allocation, workload distribution, and day-to-day operations of 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 the escalation point for technical and operational issues within delivery.

Qualifications & Experience

• 12+ years in IT services/consulting with at least 3-5 years in AI/ML solution delivery leadership.
• Proven experience managing delivery teams of 10-20+ engineers.
• Hands-on understanding of AI/ML tech stack, including:
  • GenAI & LLMs (LangChain, RAG, orchestration frameworks, vector databases).
  • MLOps/LLMOps/AgentOps practices (CI/CD pipelines, model monitoring, retraining).
  • Cloud AI services (AWS, Azure, GCP).
• Strong track record of running day-to-day operations, governance, and delivery management.
• Excellent problem-solving, communication, and team management skills.

Preferred Skills

• Experience in productionizing AI solutions at scale.
• Exposure to agentic AI use cases (AI agents for automation, workflows, etc.).
• Certifications in cloud AI/ML platforms.
• Practical experience with AI governance frameworks.