Ai solution engineer Work, Jobs in Manchester, Eng (with Salaries)

Salesforce AI Engineer
Capgemini —Manchester
- Hybrid work
- Salesforce
- DevOps
- Agile
Operational Technology / Project Management Professionals (OT/SCADA PLC)
Sweco UK —Manchester
- Part-time
- Hybrid work
- Employee assistance programme
- Employee discount
Senior Business Platform Engineer (AI/ Automation)
Together —Cheadle
- Full-time
- Hybrid work
- DevOps
- Mentoring
- SharePoint
Quick apply
1d
DevSecOps Engineer
CGI —Manchester
- Full-time
- DevOps
- Mentoring
- Scripting
Quick apply
14d
DevOps Engineer - Manchester, UK
Capgemini —Manchester
- DevOps
- Scripting
8d
Data Engineer
Roke —Manchester
- Full-time
- Java
- AWS
- Python
Lead Data & AI Platform Engineer
OrderYOYO —Manchester
- Remote
- AI
- Analytics
Quick apply
DevOps Engineer - Manchester, UK
Capgemini Sogeti —Manchester
- DevOps
- Scripting
8d
Lead Ai Engineer (AI/ML/R&D)
Bally's Interactive LLC —Manchester
- Hybrid work
- Master's degree
- Machine learning
- AI
- Annual leave
- Gym membership
Quick apply
Software Engineer - Data Engineering
Moody's —Manchester
- Master's degree
- Databases
- Bachelor's degree
Software Engineer
Oakland —Manchester
- Hybrid work
- Travel
- Software development
- AI
- Annual leave
- Referral programme
13d
Lead Backend Engineer - Fletchers AI
Fletchers Solicitors —Manchester
- Full-time
- Hybrid work
- English
- In-person
- AI
- Work from home
- Sick pay
Quick apply
Analytical Engineer
On the Beach —Manchester
- Full-time
- Hybrid work
- AI
- Annual leave
- Work from home
Cyber Security Engineer
mydentist —Manchester
- Full-time
- Hybrid work
- Azure
- Master's degree
- Free parking
- Annual leave
Quick apply
Senior AI Platform Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- Machine learning
- Mentoring
Quick apply
13h
Senior Cloud Engineer - Azure AI
UBDS Group —Manchester
- Hybrid work
- Azure
- DevOps
- Agile
Quick apply
Data Engineer - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior AI/ML Engineer
Code First Girls —Manchester
- Full-time
- Hybrid work
- Machine learning
- Software development
- AI
Quick apply
Principal AI Platform Engineer
UBDS Group —Manchester
- Hybrid work
- Azure
- Machine learning
- Mentoring
Quick apply
Game Mechanic Engineer
Brightstar Lottery —Salford
- Bachelor's degree
- Software development
- Communication skills
14d

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Salesforce AI Engineer

Capgemini -
Manchester

Apply Now

Job details

Permanent

Qualifications

CI/CD
MCP
Salesforce
DevOps
SOAP
CI/CD pipelines
GitHub
Agile
AI

Full 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'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.

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. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK.

Shape your path
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

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

Apply Now

Refine Your Search

ai solution engineer jobs in manchester, eng

Salesforce AI Engineer

Operational Technology / Project Management Professionals (OT/SCADA PLC)

Senior Business Platform Engineer (AI/ Automation)

DevSecOps Engineer

DevOps Engineer - Manchester, UK

Data Engineer

Lead Data & AI Platform Engineer

DevOps Engineer - Manchester, UK

Lead Ai Engineer (AI/ML/R&D)

Software Engineer - Data Engineering

Software Engineer

Lead Backend Engineer - Fletchers AI

Analytical Engineer

Cyber Security Engineer

Senior AI Platform Engineer

Senior Cloud Engineer - Azure AI

Data Engineer - AI Practice Team

Senior AI/ML Engineer

Principal AI Platform Engineer

Game Mechanic Engineer

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