Salesforce AI Engineer

CAPGEMINI; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Wellbeing & Diversity Programs

Training & certifications

Disability Confident Employer

Job summary

Capgemini UK is seeking a Salesforce AI Engineer to design, build and ship AI features on the Salesforce platform for leading organisations. You will work hands-on with Agentforce, Einstein, Prompt Builder, Model Builder and Data Cloud to create AI-driven Salesforce solutions that perform under real workloads.

You'll collaborate with consultants and architects to translate business needs into scalable technical designs, implement declarative and programmatic solutions, and drive DevOps practices

Qualifications

• Strong Salesforce technical experience across 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 understanding of prompt engineering, retrieval-augmented generation (RAG), grounding, and how to reduce hallucination.
• Experience testing and evaluating AI features, measuring accuracy, and monitoring quality, cost and latency once live.
• Knowledge of enterprise integration approaches, including MuleSoft, event-driven architectures, REST/SOAP APIs, and external system connectivity.
• Experience building solutions for large-scale environments supporting hundreds or thousands of Salesforce users.
• Nice to have: MCP, vector search and embeddings, or Python for AI tooling.

Responsibilities

• Partner with Salesforce Functional Consultants, Solution Architects, and AI Specialists to design and deliver innovative Salesforce and AI-powered business solutions.
• Leverage Agentforce, Einstein, 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 DCX practice, helping shape next‑generation consulting capabilities and AI delivery methodologies.
• Design and develop scalable Salesforce solutions using 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 MuleSoft, APIs, Event‑Driven Architectures, and AppExchange solutions to create connected digital ecosystems.
• Utilise AI‑assisted development tools and modern DevOps 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 Gearset, Copado, Flosum, GitHub, Azure DevOps, and CI/CD pipelines.
• Engage directly with client stakeholders, helping them understand how AI, automation, and Salesforce technology can unlock measurable business value.

Skills

Salesforce Apex & LWC

Agentforce & Einstein

APIs & Integration

Prompt Engineering

DevOps & CI/CD

LLMs & AI tooling

Large Language Models

Tools

MuleSoft

Gearset

Copado

Flosum

GitHub

Azure DevOps

Job description

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 MuleSoft, APIs, Event‑Driven Architectures, and AppExchange solutions to create connected digital ecosystems.

Utilise AI‑assisted development tools and modern DevOps 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, GitHub, Azure DevOps, 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 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 MuleSoft, 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.

Consulting & Delivery

• Proven experience translating complex business requirements and user stories into scalable technical solutions.
• Experience delivering solutions using Agile methodologies within cross‑functional teams of engineers, architects, and business stakeholders.
• Ability to explain technical and AI concepts clearly to both engineers and non‑technical stakeholders.
• Experience collaborating with third‑party delivery partners and Salesforce ecosystem vendors.
• Solid grounding in DevOps and modern software engineering practices across the Salesforce delivery lifecycle.

Certifications & Continuous Learning

• Salesforce Administrator
• Platform Developer I & II
• JavaScript Developer I
• AI Specialist
• Data Cloud Consultant
• Salesforce Consultant Certifications (Sales, Service, Experience, Field Service, etc.)
• Agentblazer Legend

A genuine appetite for learning, shown through certifications, Trailhead credentials, hands‑on Agentforce work, and keeping up with how AI capabilities are moving.

The most successful engineers will combine:

• Salesforce platform expertise
• Hands‑on Agentforce
• Data and integration knowledge
• Clear technical communication
• Automation‑first thinking
• Modern engineering and DevOps practices

Security clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. The successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, questions about your security clearance eligibility—including country of residence and nationality—will be asked. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

We are a Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• Declare they have a disability, and
• Meet the minimum essential criteria for the role.

Please opt in during the application process.

Benefits

Flexibility to work your way – You will be encouraged to have a positive work‑life balance. Our hybrid‑first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees can request flexible working arrangements.

Your wellbeing – You’ll be part of an accredited Great Place to work for Wellbeing in 2024. We support wellbeing with trained Mental Health Champions across each business area and via wellbeing apps such as Thrive and Peppy.

Impactful Experiences – You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future.

Shape your path – You will benefit from Capgemini’s learning for life mindset, with numerous training and development opportunities, including access to 250,000 courses and external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and more.

Equal Opportunity and EEO Statement

Capgemini is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants.