Agentforce Technical Manager (Salesforce experience mandatory)

Salesforce.com, inc.; Hyderabad; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Salesforce.com, inc. is seeking an experienced Agentforce Technical Manager to lead the Global Delivery Centre, guiding architecture, delivery, and people leadership for enterprise AI agent deployments.

You will drive scalable patterns, reusable accelerators, and governance across complex integrations with Salesforce Clouds, Data Cloud, MuleSoft, and external systems. You will steer strategy, mentor engineers, and partner with Product/COE teams on pilots, while ensuring high-performance delivery

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.

Responsibilities

• Architect scalable, enterprise-grade Agentforce solutions.
• Design intelligent agents leveraging LLMs and orchestration frameworks.
• Lead end-to-end lifecycle of Agentforce implementations.
• Own end-to-end delivery for Agentforce initiatives.
• Define AI governance and DevOps, CI/CD, and release standards.

Skills

Agentforce

Conversational AI

LLMs

APIs

Integration architecture

Leadership

Mentoring

Tools

MuleSoft

Salesforce Cloud

Data Cloud

Job description

Agentforce Technical Manager (Salesforce experience mandatory)

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.

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.

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.

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

MuleSoft / Integration Platforms

Prompt Engineering & Grounding

DevOps & CI/CD

Strategic thinking with strong execution focus

Ability to lead in fast-paced innovation environments

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.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Equal Opportunity Statement.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal . Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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