Agentforce Technical Manager (Salesforce experience mandatory)

griddable.io; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Salesforce is seeking an Agentforce Technical Manager for our Global Delivery Centre to lead architects and engineers in building autonomous AI agents, copilots, and intelligent workflows. You will define scalable patterns, govern integration across Clouds and external systems, and drive successful large-scale deployments.

You will mentor teams, shape product pilots, and collaborate with product and COE partners to accelerate innovation while ensuring Responsible AI and security compliance

Qualifications

• 12+ years of enterprise software engineering experience.
• 4+ years leading engineering or architecture teams.
• Deep expertise in Salesforce platform architecture.
• Hands-on experience with Agentforce / conversational AI / intelligent agents.
• Experience integrating LLMs and AI services into enterprise applications.
• Strong knowledge of integration architectures and APIs.
• Proven experience delivering large-scale enterprise solutions.

Responsibilities

• Architect scalable, enterprise-grade Agentforce solutions.
• Design intelligent agents leveraging LLMs, prompt engineering, and orchestration frameworks.
• Define reusable patterns for agent skills, guardrails, and multi-agent collaboration.
• Lead integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems.
• Establish RAG, knowledge grounding, and document ingestion architectures.
• Drive performance optimization, monitoring, and telemetry frameworks.
• Lead end-to-end lifecycle of Agentforce implementations.
• Drive agent design, prompt strategies, and skill orchestration.
• Build reusable accelerators and deployment frameworks.
• Partner with Product and COE teams on pilots and innovation programs.
• Manage and mentor a team of Agentforce engineers and architects.
• Drive hiring, onboarding, and capability development.
• Conduct performance reviews and career coaching.
• Build high-performing pods aligned to delivery programs.
• Foster a culture of innovation, learning, and technical excellence.
• Own end-to-end delivery for Agentforce initiatives.
• Partner with Product Owners, Architects, and Customer Success teams.
• Manage risks, dependencies, and execution roadmaps.
• Support solutioning, estimations, and POD planning.
• Define AI governance and guardrail frameworks.
• Establish DevOps, CI/CD, and release standards.
• Ensure compliance with Responsible AI and data security policies.

Skills

Salesforce architecture

Agentforce

LLMs integration

APIs

DevOps CI/CD

Data Cloud

MuleSoft

Prompt engineering

AI governance

Security

Leadership

Stakeholder communication

Tools

Apex

LWC

OmniStudio

Agent Studio

Data Cloud

Vector Search

MuleSoft

DevOps

Job description

Description

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And we empower you to be a Trailblazer, too — driving performance, career growth, and innovation at scale.

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And we empower you to be a Trailblazer, too — driving performance, career growth, and innovation at scale.

Agentforce represents the next evolution of Salesforce AI — enabling autonomous agents, intelligent workflows, and conversational experiences that transform how work gets done.

About The Role

We are seeking an experienced Agentforce Technical Manager to join our Global Delivery Centre (GDC)

This role blends people leadership, technical architecture, and delivery ownership to scale Agentforce capabilities across global customer implementations.

You will lead teams building intelligent AI agents, copilots, and autonomous workflows while defining architecture standards, reusable frameworks, and enterprise deployment patterns.

Your Impact

Technical Architecture Leadership

• Architect scalable, enterprise-grade Agentforce solutions.
• Design intelligent agents leveraging LLMs, prompt engineering, and orchestration frameworks.
• Define reusable patterns for agent skills, guardrails, and multi-agent collaboration.
• Lead integrations across Salesforce Clouds, Data Cloud, MuleSoft, and external systems.
• Establish RAG, knowledge grounding, and document ingestion architectures.
• Drive performance optimization, monitoring, and telemetry frameworks.

Agentforce Capability Development

• Lead end-to-end lifecycle of Agentforce implementations.
• Drive agent design, prompt strategies, and skill orchestration.
• Build reusable accelerators and deployment frameworks.
• Partner with Product and COE teams on pilots and innovation programs.

People Management & Team Leadership

• Manage and mentor a team of Agentforce engineers and architects.
• Drive hiring, onboarding, and capability development.
• Conduct performance reviews and career coaching.
• Build high-performing pods aligned to delivery programs.
• Foster a culture of innovation, learning, and technical excellence.

Delivery & Stakeholder Engagement

• Own end-to-end delivery for Agentforce initiatives.
• Partner with Product Owners, Architects, and Customer Success teams.
• Manage risks, dependencies, and execution roadmaps.
• Support solutioning, estimations, and POD planning.

Governance & Best Practices

• Define AI governance and guardrail frameworks.
• Establish DevOps, CI/CD, and release standards.
• Ensure compliance with Responsible AI and data security policies.

Minimum Qualifications

• 12+ years of enterprise software engineering experience.
• 4+ years leading engineering or architecture teams.
• Deep expertise in Salesforce platform architecture.
• Hands-on experience with Agentforce / conversational AI / intelligent agents.
• Experience integrating LLMs and AI services into enterprise applications.
• Strong knowledge of integration architectures and APIs.
• Proven experience delivering large-scale enterprise solutions.

Preferred Qualifications

• Salesforce Architect certifications (Application/System/CTA track).
• Experience with Data Cloud and RAG architectures.
• Knowledge of prompt engineering and AI orchestration frameworks.
• Experience in regulated industries (Finance, Healthcare, Insurance).
• Exposure to multi-agent deployments and autonomous workflows.

Technical Skills

• Apex, LWC, Flows, OmniStudio
• Agentforce Agent Studio & Skills
• Data Cloud & Vector Search
• MuleSoft / Integration Platforms
• Prompt Engineering & Grounding
• DevOps & CI/CD

Leadership Competencies

• Strategic thinking with strong execution focus
• Ability to lead in fast-paced innovation environments
• Strong stakeholder communication skills
• Talent development and mentoring mindset
• Customer-first advisory approach

Why Join Us

At Salesforce, you’ll lead the future of AI-powered work. You’ll build autonomous agents that transform industries while growing your leadership career in one of the most strategic technology domains.