Salesforce Technical Architect (Salesforce experience is Mandatory)

Overview

Design and manage the delivery of complex Salesforce solutions for customers, spanning Salesforce products and APIs, Apex/Visualforce, Lightning, mobile development technologies, and integration/ETL technologies.

What you'll do

• Collaborate with client stakeholders to define requirements, deliverables, and set and manage expectations.
• Translate business requirements into well-architected solutions that best leverage the Salesforce platform, including identifying opportunities to embed autonomous AI capabilities using Agentforce.
• 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.
• 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.
• 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.
• Follow and help define coding standards; lead code reviews to ensure quality and appropriate design patterns are followed, utilizing AI coding assistants to help enforce standards and optimize code performance.
• 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.
• Collaborate with customers to develop evaluation frameworks to measure AI performance and business value for their specific use cases.
• Maintain a target billable utilization aligned to the role.
• Understand a project and deep dive to debug issues, leveraging AI diagnostics to interpret system logs and isolate performance bottlenecks quickly.
• From time to time, partake in pre-sales activities such as discovery and technical deep-dive sessions, and Proof-Of-Concept (POC) development with prospects using AI tools to build prototypes rapidly.
• Liaise with Salesforce product teams to support client implementations.
• Travel to client sites for projects, estimated 50-75% of the time.

What you'll need

• 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.).
• 9-14 years CRM experience with a minimum of 6 years on the Salesforce platform.
• Expert level understanding of the Salesforce product suite, including Sales, Service, Community, Marketing, and Community Clouds, as well as an understanding of Agentforce architecture.
• Understanding of systems architecture and ability to design scalable performance-driven solutions, including using AI platforms to evaluate architectural scaling and load limits.
• Understanding of key design patterns and large data volume limitations and best practices, with experience using AI tools to model data distribution and analyze potential data skew risks.
• Understanding of data sharing and visibility considerations and how these play into platform architecture.
• Familiarity with platform authentication patterns (SAML, SSO, OAuth) and how to configure them securely.
• Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.), 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 (TLS, SSL).
• Practical fluency using AI coding assistants and modern development ecosystems (e.g., Copilot, Cursor, Claude) to 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, 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.
• Active Salesforce certifications or ability to achieve relevant certifications upon hire.

Details

• Location: Bangalore, India.
• Travel to client sites for projects, estimated 50-75%.