Description Director, AI and Innovation About The Role The Director, AI and Innovation leads the strategy, development, and adoption of artificial intelligence and emerging technology initiatives across the organization. This role partners with business, technology, and delivery leaders to identify high-impact AI opportunities, build innovation pipelines, and drive measurable business value through responsible AI adoption.

Key Responsibilities Define and drive the AI and Innovation strategy in alignment with overall business objectives.

Identify, evaluate, and prioritize AI/emerging tech use cases across the enterprise.

Lead cross-functional teams to design, pilot, and scale AI-powered solutions.

Partner with engineering, data science, and product teams to operationalize AI models responsibly.

Establish governance frameworks for responsible and ethical AI use.

Track industry trends and emerging technologies (Generative AI, Agentic AI, ML, automation) to inform roadmap decisions.

Build and manage relationships with internal stakeholders and external partners/vendors.

Present innovation roadmaps and business cases to executive leadership.

Mentor and grow a team focused on innovation and applied AI delivery.

Measure and report on ROI and adoption metrics for AI initiatives.

What You Will Do (Core Responsibilities) Build and Own the Agent Ecosystem

Design and build a set of AI agents (scoping, estimation, risk, etc.)

Ensure they work together as a single system

Continuously improve based on real deal and delivery data.

Design End-to-End Workflows

Define how agents interact across the lifecycle

Ensure smooth hand-offs between agents and humans

Reduce manual steps and rework

Turn Business Logic into Automation

Convert scoping rules, estimation models, and governance policies into working tools

Ensure outputs are consistent, accurate, and easy to use by the field

Build Data & Feedback Loops





Connect delivery data into centralized data source (e.g. Data Cloud)

Track: Estimate vs actual and Margin vs plan

Use this data to improve agents over time

Automate Governance

Build tools that automatically check estimates against standards

Flag risks early

Enforce approval rules

Work Closely with Field and GDC Teams

Partner with consultants to understand real challenges

Work with Global Delivery Centers (GDC) based team to build and scale solutions

Ensure tools are practical and adopted globally

Partner with Salesforce Product & Engineering

Use latest platform capabilities (e.g. Agentforce, Data Cloud)

Provide feedback to improve platform features

Ensure internal tools stay aligned with product roadmap Required Qualifications 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 current technologies at scale.

Strategic And Technical Expertise And Experience

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. Impact & Success Metrics Create a thriving AI culture within and across Salesforce through the AI Center of excellence

Design, build, adoption, scale of AI capabilities to achieve target revenue impact

Build a best-in-class marketplace & scale reusable solution components usage through better marketplace adoption across business units

Expansion of organizational AI/ML capabilities and talent

This role requires a unique blend of strategic vision, technical depth, and business insight to lead our organization in delivering next-generation marketing solutions powered by artificial intelligence.

Preferred Qualifications Experience with Salesforce, cloud platforms, or enterprise SaaS ecosystems.

Familiarity with AI governance, responsible AI practices, and data privacy regulations.

Background in consulting, delivery management, or product innovation.

What Kind Of Person Succeeds Here

Builds, not just designs

Thinks in systems and workflows, not isolated tools

Comfortable working with both engineers and consultants / business teams

Focused on solving real problems, not building “cool demos”

Can simplify complexity and make tools easy to use

📌 Director, AI and Innovation (Bengaluru)
🏢 SalesForce-ad
📍 Bengaluru