Iberdrola on cord

Iberdrola

Lead Salesforce AI Engineer

External position
Hiring internally for Iberdrola?
Energy & Utilities
Towards an electric future
Posted
5 days ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: AI Engineer
Experience level: Lead
Core skills considered: Artificial Intelligence, Salesforce, APIs, Machine Learning
Other skills considered: CRM, Data Architecture, Cloud Computing

Logistics

Base salary: £70K - £75K
Employment type: Permanent
Remote working: On-site
Visa sponsorship: Not available

Job Description

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
Lead Salesforce AI Engineer at Iberdrola
Position posted 5 days ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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