Agentforce Technical Architect

Salesforce Salesforce · Enterprise · Hyderabad, India, India

Salesforce is seeking an Agentforce Technical Architect to design and manage the delivery of complex AI Salesforce solutions for customers. This role involves translating business requirements into architected solutions, building accelerators for the agentic platform, conducting feasibility research for new AI use cases, and leading technical design sessions. The architect will oversee the technical delivery of custom development, integrations, and data migration for AI implementations, ensuring solutions are scalable and long-term. Key responsibilities include hands-on experience with agentic frameworks, prompt engineering, RAG, agent development, security, guardrails, deployment, testing, and performance monitoring.

What you'd actually do

  1. Collaborate with client stakeholders to define requirements, deliverables, and set and manage expectations
  2. Translate business requirements into well-architected solutions that best leverage the Salesforce platform
  3. Build reusable accelerators, play books, and reference architectures that address critical product gaps and directly shape the agentic platform roadmap
  4. Conduct feasibility research on novel use cases — determining what's possible, what's not, and what needs to change in the product to get there
  5. Lead technical design sessions; architect and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states

Skills

Required

  • 10 + years of Salesforce platform experience with minimum 2 years of experience as Architect.
  • Demonstrated experience deploying AI/LLM-based solutions — including agentic frameworks, prompt engineering, and retrieval-augmented generation (RAG)
  • Agentforce delivery: Experience in at least 2 end-to-end Agentforce projects/AI Projects with involvement in discovery, solution design, implementation, rollout, and defining the customer roadmap for enhancements.
  • Hands-on working knowledge across Agentforce capabilities including: Agent development, Agent security / access controls, guardrails ,Deployment & environment strategy, testing approach
  • Expertise supporting agent deployment, testing, and release management, including functional testing, grounding validation, and regression testing across environments.
  • Experience with monitoring agent performance, refining prompts, and optimizing response quality based on user feedback and usage analytics.
  • Strong diagnostic and problem decomposition instincts
  • Expert level understanding of the Salesforce product suite, including Sales, Service & Experience clouds.
  • Understanding of systems architecture and ability to design scalable performance-driven solutions
  • Understanding of key design patterns and large data volume limitations and best practices
  • Understanding of data sharing and visibility considerations and how these play into platform architecture
  • Familiarity with platform authentication patterns (SAML, SSO, OAuth)
  • Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.)
  • Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies
  • Experience with platform security capabilities (TLS, SSL)
  • Expert level experience defining the system architecture landscape, identifying gaps between current and desired end-states, and delivering a comprehensive solution that will enable achievement of the desired business outcomes
  • Strong background in design/development of large web-based systems, or complete software product lifecycle exposure

Nice to have

  • Degree or equivalent proven experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
  • Active Salesforce certifications or ability to achieve relevant certifications upon hire

What the JD emphasized

  • Demonstrated experience deploying AI/LLM-based solutions — including agentic frameworks, prompt engineering, and retrieval-augmented generation (RAG)
  • Agentforce delivery: Experience in at least 2 end-to-end Agentforce projects/AI Projects with involvement in discovery, solution design, implementation, rollout, and defining the customer roadmap for enhancements.
  • Hands-on working knowledge across Agentforce capabilities including: Agent development, Agent security / access controls, guardrails ,Deployment & environment strategy, testing approach
  • Experience with monitoring agent performance, refining prompts, and optimizing response quality based on user feedback and usage analytics.

Other signals

  • Designing and managing the delivery of complex AI Salesforce solutions
  • Translating business requirements into well-architected AI solutions
  • Building reusable accelerators and reference architectures for the agentic platform roadmap
  • Conducting feasibility research on novel AI use cases
  • Leading technical design sessions for AI solutions
  • Managing the technical delivery of custom development, integrations, and data migration for AI implementations
  • Experience deploying AI/LLM-based solutions including agentic frameworks, prompt engineering, and RAG
  • Hands-on working knowledge across Agentforce capabilities including Agent development, security, guardrails, deployment, testing, and release management
  • Monitoring agent performance, refining prompts, and optimizing response quality