Salesforce Agentforce Developer

Design, build, and productionize AI agents on Salesforce Agentforce — from the agent's reasoning and tools, through the data that grounds it (Data Cloud, Snowflake), to the systems it acts on (via MuleSoft and APIs), and the custom UI users interact with. Translate fuzzy business problems ("help brokers manage deals conversationally") into reliable, testable agents.

Responsibilities

• Build Agentforce agents end-to-end: topics/subagents, planners, routing, session/context variables, and the response contract that governs agent output.
• Author and own the agent's tools — invocable actions (Apex, Flows, prompt templates, external services) — including the input/output schemas the LLM reasons over.
• Engineer prompts as production artifacts: instructions, grounding, and tool descriptions that steer routing and behavior predictably.
• Design for LLM non-determinism rather than against it.
• Establish evaluation: utterance test sets (should-trigger / should-not), regression checks across topics, and a feedback loop for continuous tuning.
• Model and activate data in Salesforce Data Cloud: ingest streams, map to data model objects (DMOs), build calculated insights, and configure retrievers/search indexes that ground the agent (RAG).
• Work fluently with Snowflake: understand warehouse data models, write SQL to explore and validate data, and connect Snowflake to Data Cloud via zero-copy/data sharing so the agent can reason over enterprise data without brittle copies.
• Decide what data belongs natively in CRM vs. federated from the lakehouse, and why.
• Design integrations to source/target systems using MuleSoft (API-led connectivity, system/process/experience APIs) and REST/platform patterns — so the agent can read and write beyond Salesforce safely and within governance.
• Handle auth, error handling, idempotency, and rate/governor limits across the boundary.
• Build the conversational front end: native Agentforce UI and/or custom UI (Lightning Web Components, and embedded web/React experiences) for richer interactions — record cards, forms, selectors, file upload.
• Ensure mobile-first design: responsive layouts, touch, intermittent connectivity, real-device testing.
• Resolve project issues and explore alternate designs.
• Collaborate and communicate effectively with stakeholders to ensure client satisfaction.
• Train and coach members of project groups to ensure effective knowledge management.

Requirements

• 7+ years of relevant experience.
• Proven experience building Salesforce Agentforce (or comparable LLM agent frameworks): agents/topics/tools, prompt engineering, and grounding.
• Strong Salesforce platform depth: Apex, SOQL, the security model, and LWC.
• Hands-on Salesforce Data Cloud experience: ingestion, data modeling (DMOs), identity resolution, and grounding/retrieval for AI.
• Working SQL + data modeling skills and the ability to understand a Snowflake (or similar cloud data warehouse) schema and validate data quality.
• Real integration experience — MuleSoft or equivalent iPaaS/API platforms — and sound API design instincts.
• Solid prompt engineering judgment: grounding, guardrails, evaluation, and an understanding of where deterministic code must back up probabilistic models.
• Excellent written and verbal communication skills.

Qualifications

Relevant certifications would be an added advantage.

About the Company

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back Transformation approach. Front2Back uses the exponential power of cloud and cognitive to provide hyper-personalized digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.