Salesforce Forward Deployed Engineer
Location: London - Hybrid (1 day per week onsite)
Salary: £70,000-£95,000 + benefits
Build the next generation of AI-powered Salesforce solutions
Join a global digital transformation consultancy at the forefront of enterprise AI and Salesforce innovation.
We're looking for a hands-on Salesforce Forward Deployed Engineer to design, build and deliver intelligent, AI-powered solutions for major enterprise organisations.
This is an engineering role, not a Salesforce configuration position. You'll work across Salesforce development, Agentforce, generative AI and enterprise integration to turn complex business challenges into production-ready solutions.
What you'll do
Design and build AI-powered agents and experiences using Salesforce Agentforce, Einstein AI and related technologies.
Develop and customise solutions using Apex, Lightning Web Components (LWC), JavaScript, Flow and APIs.
Create, customise and optimise prompt templates using Salesforce Prompt Builder.
Connect AI agents to enterprise data and business processes through Salesforce Data Cloud and wider integration platforms.
Build integrations using REST/SOAP APIs, MuleSoft, Platform Events and event-driven architecture.
Apply prompt engineering, retrieval-augmented generation (RAG), grounding and techniques to reduce AI hallucinations.
Test and evaluate AI solutions for accuracy, quality, cost and performance.
Work directly with client teams to understand challenges, shape technical approaches and deliver measurable business outcomes.
Contribute to engineering standards, code quality, CI/CD and DevOps practices.
What we're looking for
Strong hands-on Salesforce development experience, including Apex, LWC, JavaScript and Flow.
Experience with Salesforce clouds such as Sales Cloud or Service Cloud.
Practical experience with Agentforce, Einstein AI, Prompt Builder or other Salesforce AI capabilities.
Understanding of LLMs, prompt engineering, RAG, grounding and AI evaluation.
Experience working with Salesforce Data Cloud and enterprise data integration.
Knowledge of APIs, integration patterns and event-driven architecture.
Strong software engineering fundamentals, including debugging, testing, code quality and version control.
Confidence explaining technical decisions, solving complex problems and working directly with clients.
Ability to take ownership of solutions from design through to deployment.
Ability to lead and support the development of junior engineers through constructive code reviews, hands-on coaching and sharing engineering best practices.
Nice to have
Experience with Model Context Protocol (MCP), vector search or embeddings.
Python or other programming experience beyond the Salesforce platform.
Salesforce certifications across development, architecture or AI.
Why join?
Work on innovative AI and Salesforce programmes for major global organisations.
Build real-world enterprise AI solutions using emerging technologies.
Work alongside experienced engineers, architects and digital transformation specialists.
Develop your skills through challenging projects and ongoing learning.
Enjoy a flexible hybrid working environment and a competitive benefits package.
Security requirement
This role requires Security Check (SC) clearance. Applicants must meet the relevant UK Government eligibility criteria, including five years of continuous UK residency. Additional nationality requirements may apply to certain positions.
We are committed to creating an inclusive workplace and are a Disability Confident Employer (Level 2).
Ready to build what comes next?
If you're passionate about engineering intelligent Salesforce solutions and want to make an impact with enterprise AI, we'd like to hear from you.
Apply today.