Senior Manager, AI and Innovation( Salesforce exp is a must)

Overview

The AI Senior Manager operates at the intersection of strategy and execution, shaping the technical vision for AI adoption and coordinating people, systems, and processes to turn that vision into working solutions. The role designs, scales, and governs AI and Agentforce-driven architectures across the delivery organization, aligning technical decisions with business outcomes and customer value.

What you'll do

• Define and evolve the technical architecture strategy for AI initiatives, aligning with broader business and platform roadmaps.
• Evaluate emerging AI technologies, including LLMs, agentic frameworks, and automation platforms, and recommend where they create differentiated value.
• Partner with delivery, product, and engineering leadership to translate business goals into scalable, secure, and maintainable AI architectures.
• Establish architectural standards, patterns, and best practices for AI solution design across teams.
• Assess technical risk, feasibility, and total cost of ownership for proposed AI initiatives.
• Coordinate engineering, data, product, and delivery teams to ensure AI solutions are designed, built, and deployed cohesively.
• Ensure architecture decisions are implemented consistently across squads and projects.
• Facilitate technical governance forums, architecture reviews, and design decision checkpoints.
• Drive alignment between parallel AI workstreams, resolving dependencies and technical conflicts.
• Mentor and enable technical teams and solution architects on AI-first design principles.
• Prototype, build, and iterate working AI solutions, including agents, automations, and integrations.
• Take ideas from concept to production and favor working demos and MVPs over long design documents.
• Experiment with new AI tools and techniques and bring working proofs-of-concept back to the team.
• Balance speed of shipping with architectural soundness and ensure builds are scalable beyond the prototype stage.
• Own end-to-end technical quality of AI solutions from design through production readiness.
• Define and monitor architecture health metrics covering scalability, reliability, cost-efficiency, and security posture.
• Ensure compliance with data governance, responsible AI, and security standards across AI implementations.
• Provide technical escalation support for complex AI and architecture issues across the portfolio.

What you'll need

• 13+ years of experience in software/solution architecture, with demonstrated depth in AI/ML or agentic systems architecture.
• Proven experience architecting and delivering enterprise-scale AI solutions, such as LLM-based systems, automation platforms, Agentforce, or equivalent.
• Strong grasp of cloud-native architecture, integration patterns, and platform scalability principles.
• Demonstrated ability to operate as both a strategic thinker and hands-on technical orchestrator across multiple teams.
• Excellent stakeholder management and communication skills, including the ability to translate technical concepts for technical and non-technical audiences.

Nice to have

• Salesforce platform architecture experience.
• Salesforce Certified Technical Architect (CTA) or equivalent architecture certification.
• Experience leading AI governance, responsible AI, or AI risk frameworks.
• Track record of mentoring architects and senior engineers.
• Exposure to multi-org, multi-cloud, or complex enterprise topology environments.
• Hands-on experience building and deploying AI agents, such as Agentforce or custom agent frameworks, in real-world settings.
• Practical experience with AI tools such as Gemini, Cursor, and Claude for coding, prototyping, or workflow automation.
• Familiarity with prompt engineering, LLM orchestration, and agentic tool-use patterns.
• Comfort working directly in code/config to build and ship, rather than being purely a design-and-document architect.

Details

• Location: Bangalore, India.