Salesforce-senior Technical Architect

Salesforce Salesforce · Enterprise · Hyderabad, India, India

Senior Technical Architect responsible for designing and managing complex Salesforce solutions, with a strong focus on integrating AI capabilities. This role involves translating business requirements into scalable AI-driven architectures, optimizing performance, and leveraging AI tools for development, code quality, and debugging. The architect will champion an AI-first methodology and collaborate with clients to measure AI performance and ROI.

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, including identifying opportunities to embed autonomous AI capabilities using Agentforce
  3. 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
  4. 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
  5. Champion an AI-first delivery methodology, utilizing advanced AI tools, developer assistants (e.g., Cursor, Claude), and agentic evaluation frameworks to accelerate implementation

Skills

Required

  • Salesforce platform expertise
  • Enterprise AI Architecture
  • Predictive and Generative AI
  • LLM integration
  • AI coding assistants (Claude, GitHub Copilot, Cursor)
  • System architecture design
  • Performance optimization
  • API integration
  • Data integration tools
  • Environment management
  • Release management
  • Code versioning
  • Deployment methodologies
  • Platform security
  • Platform authentication patterns
  • Large data volume best practices
  • Data sharing and visibility considerations

Nice to have

  • Agentforce expertise
  • Agentic evaluation frameworks
  • AI diagnostics
  • AI tools for prototyping
  • AI platforms for scaling evaluation

What the JD emphasized

  • successfully designing and managing the successful delivery
  • stand up to high volumes and won't fail at critical points
  • architecting a solution
  • optimize code quality and accelerate design cycles
  • built for the long-term and will scale
  • integrating systems via API’s
  • strong development background
  • define requirements, deliverables, and set and manage expectations
  • well-architected solutions
  • embed autonomous AI capabilities
  • Drive Enterprise AI Architecture
  • designing and integrating scalable predictive and generative AI solutions
  • optimizing performance, resource consumption, and platform governor limits
  • Lead technical design sessions
  • architect and document technical solutions
  • aligned with client business objectives
  • identify gaps between client's current and desired end states
  • review architectural assumptions and simulate system edge cases
  • Champion an AI-first delivery methodology
  • utilizing advanced AI tools, developer assistants
  • agentic evaluation frameworks
  • accelerate implementation
  • coding standards
  • leading code reviews
  • ensure quality
  • enforce design patterns, optimize performance
  • accelerate the delivery of custom code, integrations, and data migrations
  • Focus on Performance Evaluation & ROI
  • collaborating with customers to develop evaluation frameworks
  • measure AI performance and business value
  • target billable utilization
  • understand a project and deep dive to debug issues
  • leveraging AI diagnostics to interpret system logs and isolate performance bottlenecks quickly
  • partake in other pre-sales activities
  • discovery and technical deep-dive sessions
  • Proof-Of-Concept (POC) development
  • build prototypes rapidly
  • Liaise with Salesforce product teams
  • support client implementations
  • Travels to client sites for projects
  • Degree or equivalent relevant experience required
  • Experience will be evaluated based on the core competencies for the role
  • 14+ years of overall experience
  • minimum of 8 years on the Salesforce platform
  • Expert level understanding of the Salesforce product suite
  • familiarity with Agentforce
  • Understanding of systems architecture
  • design scalable performance-driven solutions
  • using AI platforms to evaluate architectural scaling and load limits
  • Understanding of key design patterns and large data volume limitations and best practices
  • using AI tools to model data distribution and analyze potential data skew risks
  • Understanding of data sharing and visibility considerations
  • how these play into platform architecture
  • Familiarity with platform authentication patterns
  • how to configure them securely
  • Knowledge of data integration tools
  • experience integrating Salesforce with different business systems
  • utilizing AI platforms to parse third-party REST API documentation and map complex data schemas
  • Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies
  • Experience with platform security capabilities
  • Practical fluency using AI coding assistants and modern development ecosystems
  • accelerate delivery, document technical architecture, and maintain a high standard of code quality
  • Expert level experience defining the system architecture landscape
  • identifying gaps between current and desired end-states
  • delivering a comprehensive solution
  • enable achievement of the desired business outcomes
  • Strong background in design/development

Other signals

  • AI CRM
  • Agentforce
  • autonomous AI capabilities
  • Enterprise AI Architecture
  • predictive and generative AI solutions
  • advanced LLMs
  • AI-first delivery methodology
  • agentic evaluation frameworks
  • AI coding assistants
  • AI diagnostics
  • AI tools to build prototypes