Salesforce AI Engineer

About the job you're considering

As a Salesforce AI Engineer, you'll design, build and ship AI features on the Salesforce platform for some of the world’s leading organisations. Working across industries including Consumer Goods, Utilities, Automotive, Telecommunications, and Financial Services, you’ll spend most of your time hands‑on, building autonomous agents, connecting large language models to enterprise data, and getting AI systems running reliably in production.

This is an engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you’ll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI‑driven features that hold up under real workloads.

The work varies a lot. One day you might be designing an agent’s reasoning and actions in Agentforce, the next writing Apex to ground a model in Salesforce data, tuning prompts and retrieval so answers stay accurate, or setting up evaluation harnesses to catch problems before they reach users.

Partner with Salesforce Functional Consultants, Solution Architects, and AI Specialists to design and deliver innovative Salesforce and AI‑powered business solutions.

Leverage Agentforce, Einstein AI, Prompt Builder, Model Builder, and Data Cloud to develop intelligent experiences, autonomous agents, and AI‑augmented business processes.

Act as a Salesforce and AI subject‑matter expert within the Digital Customer Experience (DCX) practice, helping shape our next‑generation consulting capabilities and AI delivery methodologies.

Design and develop scalable Salesforce solutions using a combination of declarative and programmatic technologies including Apex, Lightning Web Components (LWC), Flow, JavaScript, Platform Events, and APIs.

Build AI‑enabled solutions that combine customer, operational, and enterprise data to deliver personalised, predictive, and proactive business experiences.

Integrate Salesforce with enterprise systems using Mule Soft, APIs, Event‑Driven Architectures, and App Exchange solutions to create connected digital ecosystems.

Utilise AI‑assisted development tools and modern Dev Ops practices to accelerate delivery, increase quality, and improve developer productivity.

Contribute to continuous innovation by evaluating emerging Salesforce AI capabilities and identifying opportunities to apply them across client engagements.

Support Agile delivery teams and champion modern engineering practices using tools such as Gearset, Copado, Flosum, Git Hub, Azure Dev Ops, and CI/CD pipelines.

Engage directly with client stakeholders, helping them understand how AI, automation, and Salesforce technology can unlock measurable business value.

• Strong Salesforce technical experience across one or more core clouds including Sales Cloud, Service Cloud, Experience Cloud, Commerce Cloud, Industries Cloud, or Field Service.
• Hands‑on experience developing solutions using Apex, Lightning Web Components (LWC), Flow, JavaScript, APIs, and Salesforce integration patterns.
• Hands‑on experience building with Agentforce, Einstein, Prompt Builder and Model Builder, including designing agent actions, writing and tuning prompts, and grounding models in Salesforce data.
• A working understanding of how large language models behave in practice: prompt engineering, retrieval‑augmented generation (RAG), grounding, and how to reduce hallucination.
• Experience testing and evaluating AI features, for example building eval sets, measuring accuracy, and monitoring quality, cost and latency once live.
• Knowledge of enterprise integration approaches, including Mule Soft, event‑driven architectures, REST/SOAP APIs, and external system connectivity, including connecting to AI models hosted outside Salesforce.
• Experience building solutions for large‑scale environments supporting hundreds or thousands of Salesforce users.
• Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.

• Proven experience translating complex business requirements and user stories into scalable technical solutions.
• Experi…