Technical Architect

Salesforce Salesforce · Enterprise · Bangalore, India

Technical Architect for Salesforce, focusing on designing and integrating AI-driven solutions within custom Salesforce environments. The role involves translating business requirements into scalable AI architectures, leveraging AI development tools for code optimization and design acceleration, and providing governance for AI-First Delivery methodologies. Emphasis on performance, ROI, and debugging AI systems, with potential involvement in pre-sales POCs using AI tools. Requires deep Salesforce platform expertise and experience with enterprise AI solutions.

What you'd actually do

  1. Translate business requirements into well-architected solutions that best leverage the Salesforce platform, including identifying opportunities to embed autonomous AI capabilities using Agentforce
  2. Drive Enterprise AI Architecture by designing and integrating scalable predictive and generative AI solutions within custom Salesforce environments, optimizing performance, resource consumption, and platform governor limits
  3. Lead technical design sessions; architect and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states, using advanced LLMs like Claude to review architectural assumptions and simulate system edge cases
  4. Provide oversight and governance of Salesforce projects, championing an AI-First Delivery & Engineering methodology by utilizing advanced AI tools, developer assistants (e.g., Cursor, Claude), and agentic evaluation frameworks to accelerate implementation
  5. Manage the technical delivery of custom development, integrations, and data migration elements of a Salesforce implementation, championing the team's use of tools like GitHub Copilot to accelerate the generation of Apex classes, mock data, and REST integrations

Skills

Required

  • Salesforce platform expertise
  • Enterprise AI architecture design
  • Predictive and generative AI integration
  • Technical solution architecture
  • API integration
  • Performance optimization
  • Code review
  • Data migration
  • Debugging
  • Business-level Japanese language proficiency

Nice to have

  • Experience with AI development tools (Claude, GitHub Copilot, Cursor)
  • Agentic evaluation frameworks
  • AI coding assistants
  • AI diagnostics
  • Pre-sales activities
  • Proof-Of-Concept development

What the JD emphasized

  • Business-level Japanese language proficiency (written and spoken) — required for client-facing engagements in the Japan market

Other signals

  • designing and integrating scalable predictive and generative AI solutions
  • embedding autonomous AI capabilities
  • leveraging AI development tools like Claude and GitHub Copilot to optimize code quality and accelerate design cycles
  • utilizing advanced AI tools, developer assistants (e.g., Cursor, Claude), and agentic evaluation frameworks to accelerate implementation
  • using AI platforms to evaluate architectural scaling and load limits
  • utilizing AI platforms to parse third-party REST API documentation and map complex data schemas