Kainos on cord

Kainos

Pre Sales AI Consultant

External position
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Consultancy · Digital Services
We use technology to solve real problems, overcome big challenges for businesses, and make people's lives better.
Active
over 6 months ago
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
20 hours ago

Skills & Experience

Job roles: Business Development Manager
Experience level: Mid, Senior
Core skills considered: Artificial Intelligence, Business development, Communication software, Customer service
Other skills considered: Customer support, Customer feedback management, Customer profiling, Stakeholder Management

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

The purpose of a Pre Sales AI Consultant is to shape and communicate credible AI-enabled solutions that address customer problems, support responsible AI adoption and help win deliverable work.

A Pre Sales AI Consultant helps customers understand where artificial intelligence, data and digital services can solve real business problems. The role combines AI credibility, consulting judgement, commercial awareness and strong communication skills to shape responsible, deliverable solutions that customers can trust and Kainos can confidently deliver.

Working across the sales lifecycle, the role partners with Sales, Bid, AI/Data, Architecture and Delivery specialists to understand customer needs, shape credible AI-led propositions, lead solution input into bids and support customer engagement through workshops, demonstrations, presentations and proofs of concept.

This is a client-facing role for someone who can operate confidently with senior customer stakeholders, turning complex AI concepts into clear, commercially viable and compelling solutions, bringing in deeper AI, data, architecture or delivery expertise when needed.


Key Responsibilities

  1. Build trusted customer and stakeholder relationships
    • Translate complex AI concepts into clear business value, public outcomes, delivery approaches and procurement-ready solution narratives.
    • Act as a strategic advisor throughout opportunity development, from early market engagement and qualification through to bid response and transition into delivery.
    • Communicate complex AI, data and delivery concepts in clear, accessible language for executive, commercial, technical and non-technical audiences.
    • Facilitate customer workshops, briefings, presentations, demonstrations and proofs of concept that bring AI opportunities and solution options to life.
  2. Understand customer problems and shape viable AI solutions
    • Lead discovery conversations, workshops and early solution shaping activity to understand customer goals, pain points, constraints, data readiness, risk appetite and success measures.
    • Shape practical, commercially viable AI solutions that balance customer outcomes, technical feasibility, data foundations, adoption needs, responsible AI controls, delivery risk and value.
    • Help customers understand the opportunities, benefits, risks, delivery considerations and governance requirements associated with AI adoption.
  3. Lead AI solution input into bids and proposals
    • Own the AI solution narrative for bids, proposals, frameworks, procurements and competitive opportunities, ensuring customer outcomes, win themes, AI differentiators, data considerations and responsible AI controls are clearly reflected.
    • Bring together input from AI, data, architecture, security, governance and delivery specialists to strengthen solution quality, estimation, data readiness, risk management and customer confidence.
    • Develop high-quality written responses that explain the proposed AI solution, its value, how it will be delivered, how risks will be managed and why it is credible.
    • Lead solution reviews, challenging assumptions and assuring the quality, credibility, responsible use and deliverability of proposed AI commitments.
  4. Develop reusable assets and sales enablement material
    • Create reusable assets that support customer engagement and future sales, such as AI use case patterns, discovery materials, demo scripts, proposal content, evaluation approaches and proof of concept approaches.
    • Develop credible AI propositions and sales enablement material that respond to customer demand, reflect technology and market trends, and are grounded in deliverable capability.
  5. Stay current with AI, data, market and industry trends
    • Maintain a strong awareness of relevant AI, data, responsible AI, regulatory and public sector trends, and apply that knowledge in customer conversations, solution shaping, propositions and bid responses.

Essential experience and skills

  • Experience in technical pre-sales, AI or data consulting, digital transformation, business development or a closely related client-facing technology role.
  • Strong technical credibility in AI-enabled solutions, with the ability to understand, shape and explain how AI can be applied safely and effectively in complex organisational environments.
  • Deep understanding of modern AI concepts and adoption patterns, including generative AI, large language model-enabled solutions, agentic workflows, data foundations, evaluation approaches, responsible AI controls and production adoption.
  • Experience shaping AI strategies, use case prioritisation, data readiness assessments, implementation roadmaps, customer demonstrations, proofs of concept or AI-focused proposition development.
  • Proven ability to understand customer problems and shape practical, commercially viable AI solutions.
  • Experience contributing to or owning AI solution input for bids, proposals, tenders, frameworks or complex sales opportunities.
  • Strong communication, facilitation and stakeholder engagement skills, including the ability to produce clear bid responses and customer-facing AI material, and to work credibly with senior customer stakeholders and technical specialists.
  • Ability to collaborate effectively with AI, data, architecture, delivery, sales and bid colleagues, drawing on expert input while maintaining a coherent solution narrative.
  • Commercial awareness, including an understanding of value, risk, effort, delivery feasibility, data readiness and how proposed AI solutions support customer outcomes and business growth.
  • Ability to manage multiple opportunities, deadlines and stakeholder inputs in a high-pressure sales environment.

Desirable experience

  • Experience working with public sector organisations, regulated environments or complex procurement processes.

Company Benefits

  • Hybrid Working
  • 35 days holiday
  • Up to 5% matching pension
  • EV Leasing Scheme
  • Life assurance
  • Income protection
  • Full family BUPA private medical cover
  • Healthshield individual medical cover ( all employees from day 1)
  • Gifted shares annually
  • Payday drinks
  • Volunteering days
  • Extensive self development through our Kainos MAP L&D curriculum
Pre Sales AI Consultant at Kainos
Position posted 2 weeks 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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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