Sutherland - AI Strategy & Execution Head

Role Summary:

We are looking for a visionary and execution-focused AI Program Manager to lead the strategic rollout and scaling of AI initiatives across the enterprise. This leader will be responsible for delivering transformative value through next-generation AI capabilities, including Agentic AI systems, Generative AI (GenAI) solutions, and applications leveraging Transformer-based architectures.

The role requires cross-functional collaboration, high-impact program delivery, and governance expertise to ensure that AI solutions are scalable, ethical, and business-aligned.

Key Responsibilities:

- Drive enterprise-wide AI strategy execution with a focus on GenAI, Agentic AI frameworks, and advanced LLM-based use cases.

- Lead program planning, budgeting, resourcing, and milestone tracking across multiple AI workstreams.

- Collaborate with AI architects, data scientists, business units, and product leaders to translate innovation into production.

- Govern AI delivery pipelines, prioritizing use cases that demonstrate ROI, operational efficiency, or competitive differentiation.

- Oversee the implementation of agentic AI solutions using tools like LangChain, LangGraph, and vector databases.

- Ensure scalable and secure deployment of models built on Transformer architectures (e.g., BERT, GPT, LLaMA).

- Champion responsible AI practices, including fairness, bias mitigation, auditability, and regulatory compliance.

- Enable cross-functional collaboration through effective stakeholder management and regular executive-level reporting.

- Drive change management, AI adoption, and organizational readiness through training, communication, and evangelism.

Required Qualifications:

- 12+ years of overall experience, with 5+ years in AI/ML program or portfolio leadership roles.

- Strong understanding of GenAI models, Transformer architectures, and their application in real-world scenarios.

- Proven experience delivering production-grade AI systems using open-source and commercial platforms.

- Familiarity with agent-based architecture and orchestration tools like LanGraph, LangChain, AutoGen, or similar.

- Experience managing large, distributed, and cross-functional teams across geographies.

- Expertise in Agile/SAFe methodologies and enterprise program governance.

- Bachelors or masters degree in computer science, Engineering, Data Science, or related field; MBA preferred.

- Certifications such as PMP, PROSCI, or Agile SAFe are a plus.

Preferred Skills:

- Experience integrating AI into enterprise platforms such as CRM, ERP, ITSM, or data lakes.

- Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG (Retrieval-Augmented Generation) techniques.

- Strong vendor management and contract negotiation capabilities.

- Track record of scaling GenAI/LLM programs from PoC to enterprise deployment.