Lead Salesforce AI Engineer

Lead Salesforce AI Engineer

Glasgow, Prenton, Liverpool, Manchester, Edinburgh

Salary up to £74,000 + up to 15% bonus, single cover private medical & other excellent benefits

Help us create a better future, quicker!

The Applications Consultant is responsible for designing, implementing, and governing Salesforce Agentforce solutions that deliver measurable business value, increased workforce productivity, enhanced customer engagement, and operational efficiency across SPEN.

Working within the Centre of Excellence, the role will lead the adoption of Salesforce Agentforce, Einstein AI, Data Cloud, and related Salesforce platform capabilities. The post holder will work closely with business stakeholders, Salesforce architects, product owners, and implementation partners to identify opportunities for autonomous agents, conversational AI, workflow automation, and intelligent service delivery.

The role will ensure Agentforce solutions align with enterprise architecture, security, governance, and responsible AI principles while establishing reusable frameworks, standards, and best practices for Salesforce AI adoption.

As this role supports Critical National Infrastructure business processes, this will be an operational mainly office-based, role where working hours may change to suit the needs of our critical services.

What you’ll be doing

• •Lead the definition and execution of the Salesforce Agentforce roadmap
• •Identify and prioritise use cases for autonomous agents across Customer Operations, Network Operations, Asset Management, Field Services and Corporate Functions
• •Establish governance, security, and operational standards for Agentforce implementations.
• •Providing clear AI design direction to Delivery Teams. Improving the knowledge of Value Stream through mentoring, workshops, and other skill transfer methods
• •Early engagement on large projects and programmes; Taking strategic direction from the Architecture & Strategy team and defining detailed AI Solutions for the business. Assisting business in early scope definition, feasibility analysis, and business case development
• •Evaluate emerging AI technologies and provide recommendations on their suitability
• •Lead AI proof-of-concept and pilot initiatives through to production deployment
• •Identify opportunities where AI can improve operational efficiency, safety, customer service, and asset management
• •Support Agentforce implementation through Application and Product Roadmaps
• •Lead the configuration and deployment of autonomous Salesforce agents
• •Define agent actions, topics, instructions, guardrails, and escalation paths
• •Ensure agents operate securely and effectively within define business processes
• •Support testing, validation and monitoring of agent performance and business outcomes
• •Experience in design, delivery and evaluation of AI requirements and development of appropriate Global and Local solutions working with the Transformation Architecture & Strategy Team and other Technology Teams
• •Define scalable patterns for agent orchestration, workflow automation and human-in-the-loop decision making
• •Maintain awareness of Salesforce market trends and technology developments
• •Validation of all financial cost assumptions regarding the Agentforce solutions
• •Identify opportunities for Agentforce deployment across key business functions

What you’ll bring

• •Significant experience of AI solution development in an organisation of similar scope and scale to SP Energy Networks, with previous Solutions Application Design experience
• •Significant experience delivering AI, Data Analytics, Machine Learning, or Intelligent Automation solutions both internally and with external vendors
• •Significant experience with Salesforce platform technologies including Agentforce, Einstein AI, Data Cloud, Service Cloud and Salesforce Flow
• •Experience designing and implementing autonomous agents using Salesforce Agentforce
• •Understanding of Salesforce Trust Layer, Prompt Builder and Agent Builder
• •Experience integrating Salesforce AI capabilities with enterprise systems through APIs and event-driven architectures
• •Understanding of LLMs, prompt engineering, RAG architectures, and agentic AI frameworks
• •Highly developed problem solving and delivery skills with the ability to analyse complex issues, recommend appropriate solutions and manage projects to delivery these
• •Experience working with data platforms, analytics, and AI model deployment
• •Understanding of AI governance, security, ethics, and regulatory considerations
• •Ability to identify and prioritise high-value AI opportunities
• •Excellent communication skills, with an ability to distil technical concepts to business focussed audiences
• •Strong technology consulting and stakeholder management skills
• •Experience translating business problems into AI solutions
• •Ability to develop AI business cases and value realisation metrics

Salesforce specific experience

• •Salesforce certified professional with multiple cloud implementations
• •Experience designing enterprise customer and operational workflows on Salesforce
• •Experience with complex Salesforce integrations
• •Experience delivering AI-enabled Service Cloud and Field Service solutions
• •Knowledge of Salesforce release management and DevOps practices
• •Understanding of Salesforce Well-Architected Framework principles

Minimum Criteria

• •5 years plus of progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems, and/or platforms
• •Demonstrable experience in AI, Advanced Analytics, Intelligent Automation or Data Science related roles
• •Experience designing and implementing AI-enabled business solutions
• •Strong understanding of enterprise AI architecture and governance
• •Knowledge and practical experience of:
• •Salesforce Agentforce
• •Salesforce Einstein AI
• •Einstein Copilot
• •Agent Builder
• •Prompt Builder
• •Salesforce Data Cloud
• •Service Cloud
• •Field Service
• •Salesforce Flow
• •Apex
• •AI Governance
• •Responsible AI
• •Large Language Models (LLMs)
• •Retrieval Augmented Generation (RAG)
• •Prompt Engineering
• •Autonomous Agents
• •CRM Transformation

What’s in it for you

As well as a competitive salary which is reviewed annually, you can also enjoy a number of other benefits. With our pension scheme, we’ll double match your contribution up to a company contribution of 10%.

At ScottishPower, we believe it’s the little things we do in life that make a big difference. From helping you look after your family’s wellbeing, save for your future and take personal steps for climate action – our benefits are designed to help you do just that - so that you have everything you need to take care of your world – today and tomorrow. That’s why our benefits include:

• •36 days annual leave
• •Holiday Purchase – perfect your work/life balance with extra annual leave
• •Share Schemes
• •Payroll Giving and Charity Matched Funding
• •Technology Vouchers – save more and spread the cost of your technology purchases
• •Electric Vehicle Schemes – to help you transition to green/clean driving
• •Cycle to Work scheme and Public Transport Season Ticket Loans
• •Healthcare benefit options including: Dental Insurance, Private Medical Insurance, Health Cash Plan and annual Health Assessments
• •Life Assurance (4x salary)
• •Access to Savesmart financial wellbeing support
• •Plus shopping, leisure, restaurant and gym discounts, and unique employee deals on travel insurance and more

Why SP Energy Networks

SP Energy Networks is part of the Iberdrola Group, one of the world’s largest integrated utility companies and a world leader in wind energy. We keep electricity flowing to homes and businesses through Central and Southern Scotland, North Wales and in the Northwest of England. We operate over 4000km of cables and lines that make-up the transmission network – connecting infrastructure like wind farms into the electricity system. It’s a role that puts us right