Agentforce Senior Technical Architect(Salesforce experience is a must)

Salesforce; India; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Salesforce is seeking an AI Technical Architect who will define the long-term technical vision for AI adoption and orchestrate cross‑functional teams to deliver scalable AI architectures across the delivery organization. The role emphasizes governance, security, and maintaining customer value.

Ideal candidates will have deep expertise in AI/ML architecture, enterprise AI solutions, and Salesforce platform knowledge, with mentoring experience and a track record of strategic leadership across

Qualifications

• 13+ years of experience in software/solution architecture.
• Proven experience architecting and delivering enterprise-scale AI solutions.
• Strong grasp of cloud-native architecture, integration patterns, and scalability.

Responsibilities

• Define and evolve the technical architecture strategy for AI initiatives.
• Coordinate cross-functional teams to design, build, and deploy AI solutions.
• Own end-to-end technical quality and governance for AI architectures.

Skills

AI/ML architecture

Enterprise AI

Cloud-native architecture

Stakeholder management

Salesforce architecture

Mentoring architects

Education

Salesforce CTA certification

Tools

Gemini

Cursor

Claude

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Customer Success

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the Role

The AI Technical Architect operates at the intersection of strategy and execution - acting as both a Strategist , shaping the long-term technical vision for AI adoption, and an Orchestrator , coordinating people, systems, and products to turn that vision into working solutions. This role is central to designing, scaling, and governing AI and Agentforce-driven architectures across the delivery organization, ensuring technical decisions align with business outcomes and customer value.

Key Responsibilities

• Strategist Mindset

  Define and evolve the technical architecture strategy for AI initiatives, aligning with broader business and platform roadmaps.

  Evaluate emerging AI technologies (LLMs, agentic frameworks, 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.

• Orchestrator Mindset

  Coordinate cross‑functional teams (engineering, data, product, delivery) to ensure AI solutions are designed, built, and deployed cohesively.

  Serveas the technical gluebetween strategyandexecution-ensuring architecture decisions are implemented consistentlyacross squadsandprojects.

  Facilitatetechnical governance forums, architecture reviews, and design decision checkpoints.

  Drivealignmentbetween multipleparallelAI workstreams, resolvingdependenciesandtechnicalconflicts.

  MentorandenabletechnicalteamsandsolutionarchitectsonAI‑first designs.

• Delivery & Governance

  Builder Mindset

  Ship working AI solutions hands‑on- prototype, build, anditeratequickly rather than only designing in paper.

  Takeideas from concept to production, personallybuildingagents, automation, and integrations when needed to prove value fast.

  Champion a bias for action: favor working demos and MVPs over long design documents.

  Continuously experimentwith new AI tools and techniques, bringing working proofs‑of‑concept back to the team.

  Balance speed of shipping with architectural soundness, ensuring 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 (scalability, reliability, cost‑efficiency, security posture).

  Ensure compliance with data governance, responsible AI, and security standards across all AI implementations.

  Provide technical escalation support for complex AI/architecture issues across the portfolio.

Required Qualifications

• 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 (e.g., 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.
• Experience with Salesforce platform architecture is highly valued.
• Excellent stakeholder management and communication skills - able to translate technical concepts for both technical and non‑technical audiences.

Preferred Qualifications

• 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 (e.g., Agentforce, 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.
• Comfortable working directly in code/config