×
Register Here to Apply for Jobs or Post Jobs. X

Salesforce AI Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: CAPGEMINI
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Salesforce Developer
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

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 will 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 will build with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI‑driven features that perform under real workloads.

The work varies a lot: you might design an agent’s reasoning and actions in Agentforce one day, write Apex to ground a model in Salesforce data the next, tune prompts and retrieval so answers stay accurate, or set up evaluation harnesses to catch problems before they reach users.

Your role

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 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.

Why You?

You’ll thrive at the intersection of technology, business consulting, and AI innovation. Working alongside clients, you’ll transform ambitious business objectives into practical, scalable Salesforce solutions powered by automation, intelligence, and next‑generation AI capabilities. You will be expected not only to solve today’s challenges but also to help clients prepare for an increasingly autonomous, AI‑driven future.

Whether designing Agentforce agents, building enterprise‑grade Salesforce applications, integrating Data Cloud, or advising executives on AI adoption, you will become a trusted advisor capable of translating complex technology into meaningful business outcomes.

Most importantly, you will help shape the future role of the Salesforce consultant—leveraging AI to move beyond configuration and development into strategic solution design, innovation, and business transformation.

Your skill and experience Technical Expertise
  • 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.
  • Working…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary