Director, AI and Innovation

Salesforce Salesforce · Enterprise · Bangalore, India

Salesforce is seeking a Director, AI and Innovation to lead the strategy, development, and adoption of AI and emerging technologies. This role involves defining AI strategy, identifying use cases, leading cross-functional teams to pilot and scale AI solutions, and establishing governance frameworks for responsible AI. The Director will mentor a team focused on innovation and applied AI delivery, with a focus on building and owning an agent ecosystem, designing end-to-end workflows, turning business logic into automation, building data/feedback loops, and automating governance. The role requires hands-on experience with LLMs, agentic frameworks, ML Ops, and enterprise-grade AI/ML platforms, with a focus on delivering AI capabilities to achieve business impact.

What you'd actually do

  1. Define and drive the AI and Innovation strategy in alignment with overall business objectives.
  2. Identify, evaluate, and prioritize AI/emerging tech use cases across the enterprise.
  3. Lead cross-functional teams to design, pilot, and scale AI-powered solutions.
  4. Partner with engineering, data science, and product teams to operationalize AI models responsibly.
  5. Establish governance frameworks for responsible and ethical AI use.

Skills

Required

  • 15+ years of experience in technology strategy, innovation, or AI/ML delivery, with 5+ years in a leadership role.
  • Strong understanding of AI/ML concepts, Generative AI, and enterprise technology architecture.
  • Proven track record of leading cross-functional innovation programs.
  • Excellent stakeholder management, communication, and executive presentation skills.
  • Experience with change management and driving adoption of new technologies at scale.
  • Hands on experience with Large Language Models, agentic frameworks, ML Ops, and traditional AI and ML.
  • Proven history of delivering large programs in the AI space, including integration of operational systems, APIs, and batch/streaming pipelines.
  • Deep understanding of AI system governance and security, including data privacy, model integrity, observability and cost management.
  • Proficient in cloud technologies and enterprise-grade AI/ML platforms (e.g., AWS Sagemaker, Bedrock, Agentic, Anthropic, OpenAI, Azure ML, Databricks).
  • Expertise in LLMs, including fine-tuning, RAG, prompt engineering, multi-agent collaboration, orchestration frameworks, and alignment techniques.
  • Demonstrated experience leading the development of strategic technology direction and architecture vision for a large organization.
  • Developed technology target states and roadmaps aligned with short- and long-term business goals.
  • Expert-level software engineering experience.
  • Partnerships with hyperscalars and technology vendors for right build vs. buy evaluations.

Nice to have

  • AI CRM
  • Agentforce
  • Data Cloud

What the JD emphasized

  • responsible AI adoption
  • responsible and ethical AI use
  • consistently, accurate, and easy to use
  • Estimate vs actual
  • Margin vs plan
  • Deep understanding of AI system governance and security, including data privacy, model integrity, observability and cost management.

Other signals

  • AI CRM
  • Agentforce
  • AI agents
  • Agentic AI
  • Generative AI
  • LLMs
  • ML Ops