Kainos Logo

Kainos

Pre Sales AI Consultant

Posted 19 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in UK
Entry level
In-Office or Remote
Hiring Remotely in UK
Entry level
Lead technical pre-sales for AI and data opportunities across the UK public sector. Shape solution strategies, conduct client workshops, lead bids and procurements, advise on responsible AI adoption, and develop differentiated AI propositions. Provide expertise in generative and agentic AI, machine learning, LLM solutions, data foundations, governance, evaluation, and production adoption. Build senior stakeholder relationships, support demonstrations and proofs of concept, mentor colleagues, and ensure proposed solutions are practical, secure, scalable, ethical, and deliverable.
The summary above was generated by AI
Join Kainos and Shape the Future 

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark? Join us and be part of something bigger.

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.

Embracing our differences   

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive.   We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are.   We also believe every candidate deserves a level playing field. 

Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. 

We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.


Similar Jobs

45 Minutes Ago
In-Office or Remote
Entry level
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Mentorship opportunity for a senior-year student completing a 2027 graduation project in data science, machine learning, or AI. Responsibilities include developing ML and generative AI prototypes, processing and analyzing data, experimenting with LLMs and RAG, evaluating models, documenting findings, and collaborating with data science, MLOps, and cloud teams.
Top Skills: BertGptKerasLarge Language Models (Llms)MatplotlibNatural Language Processing (Nlp)PandasPlotlyPythonPyTorchRetrieval-Augmented Generation (Rag)SeabornTensorFlow
2 Days Ago
Remote or Hybrid
Senior level
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead product strategy and delivery for Mastercard's In Control virtual card platform. Translate business requirements into technical specs, work with engineering scrum teams, engage regional partners and customers, define platform vision for tokenized and virtual card payments, validate technical delivery, and drive go-to-market and product enhancements to grow B2B and T&E payment adoption.
Top Skills: AgilePayment ProcessingPme FrameworkScrumTokenizationUx/UiVirtual Card Platform
2 Days Ago
Easy Apply
Remote
United Kingdom
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript

What you need to know about the Bristol Tech Scene

Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account