Salesforce Senior Technical Architect (CTA Aspirants)

Salesforce; India; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Salesforce is seeking a Senior Technical Architect to design and deliver complex Salesforce solutions for our customers. You will drive AI-enabled architectures, API integrations, and scalable designs that withstand high volumes and evolving growth.

You will collaborate with stakeholders to translate requirements into well-architected systems, lead design reviews, and ensure best practices across the delivery lifecycle. This role involves significant travel to client sites in India.

Qualifications

• Degree or equivalent experience in computer science or related field.
• 14+ years total IT experience with 8+ years on Salesforce platform.
• Strong background in enterprise-scale Salesforce implementations.
• Experience using AI tools to augment architectural decisions.

Responsibilities

• Collaborate with clients to define requirements and deliverables.
• Design scalable Salesforce solutions including AI-enabled features.
• Lead technical design sessions and document architectures.
• Review and enforce coding standards across projects.
• Integrate systems via APIs and optimize performance within governor limits.
• Engage in pre-sales discovery and POC activities when needed.

Skills

Salesforce

APIs integration

Enterprise architecture

AI tooling

Education

Bachelor's degree in Computer Science or equivalent

Tools

Apex/Visualforce

Lightning

OAuth/SAML

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Customer Success Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Senior Technical Architect is responsible for successfully designing and managing the successful delivery of complex Salesforce solutions for our customers. These technologies include-but are not necessarily limited to Salesforce products and APIs, Apex/Visualforce, Lightning, mobile development technologies, and integration/ETL technologies.

You are both a big picture thinker and in-depth problem solver, your knowledge and skills are both broad and deep. You take pride in designing systems that stand up to high volumes and won't fail at critical points. You have a good mix of technical and enterprise skills when it comes to architecting a solution, including knowing how to leverage AI development tools like Claude and GitHub Copilot to optimize code quality and accelerate design cycles. The solutions you design are built for the long-term and will scale with the customer's growth plans seamlessly. You have proven experience integrating systems via API's as well as a strong development background.

What You'll Actually Be Doing

• 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
• Champion an AI-first delivery methodology, utilizing advanced AI tools, developer assistants (e.g., Cursor, Claude), and agentic evaluation frameworks to accelerate implementation
• Follow and help define coding standards while leading code reviews during projects to ensure quality, using tools like GitHub Copilot and AI coding assistants to enforce design patterns, optimize performance, and accelerate the delivery of custom code, integrations, and data migrations
• Focus on Performance Evaluation & ROI by collaborating 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
• Ability to 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, the TA may be expected to partake in other pre-sales activities such as discovery and technical deep-dive sessions, Proof-Of-Concept (POC) development with prospects using AI tools to build prototypes rapidly
• Liaise with Salesforce product teams to support client implementations
• Travels to client sites for projects, estimated 50-75%

You're Our Person If...

• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
• 14+ years of overall experience with a minimum of 8 years on the Salesforce platform
• Expert level understanding of the Salesforce product suite, including Data Cloud, Industry Clouds, Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and familiarity with Agentforce
• 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