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.
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.
Skills Required
- Significant experience in a senior client-facing AI, data, digital transformation, or technology consulting role.
- Strong technical expertise in AI solutions and their safe and effective application in complex organizational environments.
- Demonstrable experience shaping complex AI-led technology opportunities and leading solution-focused pre-sales engagements.
- Experience shaping and assuring AI solutions from concept through delivery, including data, integration, governance, evaluation, adoption, and operating models.
- Experience leading and owning technical and solution responses to bids, ITTs, RFPs, and public sector procurements.
- Ability to engage credibly with senior technical, commercial, and policy stakeholders.
- Strong understanding of modern AI architectures, LLM-enabled solutions, agentic workflows, machine learning, data foundations, responsible AI, and production adoption patterns.
- Ability to translate public sector challenges and business requirements into practical AI solutions, delivery approaches, and bid narratives.
- Excellent communication, workshop facilitation, stakeholder management, market engagement, and proposition development skills.
Kainos Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kainos and has not been reviewed or approved by Kainos.
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Healthcare Strength — Private healthcare, access to trained counsellors/EAP, and broader wellbeing initiatives are prominently offered across regions. Company materials frame support across emotional, physical, social, career and financial wellbeing, with UK references to Bupa coverage.
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Leave & Time Off Breadth — Hybrid/flexible hours, generous vacation packages, and parental leave are emphasized in careers materials. Some regions also highlight volunteering time and flexibility that support work–life balance.
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Equity Value & Accessibility — Annual share awards and employee share plans (e.g., free shares, Sharesave) are widely promoted, with cash equivalents where plans aren’t available. These programs broaden ownership participation beyond base pay.
Kainos Insights
What We Do
At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow. Our two specialist business areas, Digital Services and the Workday Practice, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.
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