Overview
Sr. Developer on the AI Acceleration team, delivering scalable AI-powered solutions across Salesforce Agentforce and Data 360, plus net-new AI technologies adjacent to the Salesforce ecosystem.
What you'll do
- Build, test, and enhance Agentforce Agents, workflows, and automations, supporting intelligent customer-facing and internal experiences
- Prototype and evaluate net-new AI technologies adjacent to the Salesforce stack, assessing fit and feasibility for client strategic initiatives
- Design and build scalable and secure data architectures on Salesforce Data 360, defining DLOs, DMOs, identity resolution strategies, and real-time data activation patterns
- Leverage unstructured DMOs, retrievers, and search indexes
- Engage with customers to define requirements, and propose and deliver complex, often ambiguous solutions that combine Salesforce and adjacent AI technologies
- Develop using the Lightning Framework (LWCs), Apex, and JavaScript
- Collaborate with project teams to translate requirements, including exploratory and strategic asks, into effective technical solutions
- Stay current with Salesforce releases, Agentforce enhancements, platform best practices, and the broader AI landscape
- Acquire and maintain relevant Salesforce certifications aligned with your career development goals
- Be a NeuraFlash and Accenture evangelist in the Salesforce and AI communities, and help cultivate a company culture of success, both company and personal, and fun
- Leverage the latest AI tools and development assistants to maximize the efficiency and speed of builds
What you'll need
- 3+ years of hands-on Salesforce development experience, including Apex, Lightning Web Components (LWCs), and JavaScript
- Strong understanding of Salesforce's Apex language and coding patterns/best practices
- Strong foundation in overall software development principles, including programming fundamentals and object-oriented programming (OOP)
- Strong understanding of CI/CD processes and source tracking with Git
- Experience integrating Salesforce with third-party systems via REST APIs
- Experience building solutions on Salesforce Data 360
- Experience building Agentforce agents, workflows, and automations
- Demonstrated curiosity about, and hands-on experimentation with, AI technologies beyond core Salesforce (LLM APIs, agent frameworks, emerging tooling)
- Strong ability to learn and acquire new technical skills quickly to solve business problems
- Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
Nice to have
- Experience with Data 360 capabilities, including unstructured DMOs, retrievers, search indexes, RAG, and identity resolution
- Experience with Agentforce Agent Script (next gen authoring)
- Relevant certifications such as Salesforce Platform Developer I/II, Salesforce Data Cloud Consultant, Salesforce Agentforce Specialist, or Claude Certified Architect
- Prior consulting or professional services delivery experience
- Experience prototyping with LLM providers (Anthropic, OpenAI, etc.), vector databases, or agent orchestration frameworks outside the Salesforce ecosystem
- Experience across additional Salesforce Clouds (Service Cloud, Sales Cloud, Experience Cloud, etc.)
- Understanding of Salesforce's Enhanced Chat and Omni-channel
- Experience with Amazon Connect or other telephony platforms
- Experience writing, testing, and deploying AWS Lambda functions
- Proficiency in using Claude Code or similar AI coding agents
Details
- Remote - India (Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune only)
- Anticipated travel commitment of up to 25% for customer projects and company events
- Interview process: recruiter screen (30 min phone), peer interview (45 min video), panel interview with real-time exercise (60 min video), leadership interview (45 min video)
Read the full description and apply on the company’s own careers page.