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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.

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 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 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 and develop ambitious business objectives into practical, scalable Salesforce solutions powered by automation, intelligence, and next-generation AI capabilities. You'll be expected not only to solve today's challenges but to help clients prepare for an increasingly autonomous, AI-driven future.

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

Most importantly, you'll 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.

• 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 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.

• The 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

As Salesforce grows into a serious enterprise AI platform, you'll be the one building the autonomous agents and intelligent features that make it real and setting the standard for how Salesforce AI Engineering is done.

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.

Your security clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

To obtain 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, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

Make it real – what does it mean for you

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 are eligible to request flexible working arrangements.

Your wellbeing

You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.

Capgemini. Make it real.

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com