AI Solutions Consultant role involving discovery and consulting for AI initiatives in healthcare. Collaborating with stakeholders to deliver clear, feasible AI projects.
Responsibilities
Lead structured discovery sessions with internal and client stakeholders to understand objectives
Translate business, research or operational needs into clear AI use cases and problem statements
Shape and refine research questions, data schemas and prompt context to ensure clarity and feasibility
Identify risks, assumptions and dependencies early
Work closely with senior technical leads to assess solution approaches
Conduct early feasibility discovery through hands-on experimentation with frontier AI tools
Help determine whether solutions can be delivered through configuration and adaptation versus bespoke build
Summarise findings into clear recommendations
Convert discovery outputs into clear, actionable delivery briefs
Ensure engineers receive complete, prioritised and well-scoped requirements
Maintain a healthy pipeline of delivery-ready work across multiple initiatives
Actively use and adapt existing AI tools and workflows
Write, test and refine prompts for applied use cases
Run analyses using established systems
Act as a bridge between stakeholders, product leadership and engineering teams
Clearly communicate scope, feasibility, trade-offs and delivery implications
Present outputs, findings and recommendations in a structured and accessible way
Requirements
Experience in a consulting, product, delivery or hybrid technical role
Strong discovery and business analysis capability
Hands-on experience using applied AI tools, including prompt-based systems
Experience working closely with software engineering teams in end-to-end development environments
Excellent written and verbal communication skills
Strong stakeholder management skills across internal teams and clients
Comfort operating in regulated or policy-driven environments.
Desirable: Consulting or client-facing delivery experience
Experience working in healthcare, life sciences or other regulated industries
Exposure to AI-enabled research, analytics or insight generation
Familiarity with workflow automation or low-code tools
Product experience in B2B or SaaS environments
Strong appreciation of UX and user-centred design
Previous experience scaling products or capabilities within an enterprise organisation
Engineering background or technical education
Benefits
You'll receive up to a 7% pension contribution
Life insurance
Income protection
Private medical insurance
Flexible working arrangements
Option to work from anywhere across the globe two weeks each year
25 days of annual leave plus two personal well-being days
Gifted end-of-year holidays
Early Summer Friday finish in June, July, and August
Free counselling through our employee assistance program
Personalized health support
Enhanced maternity, paternity, family leave, and fertility policies
Continuous opportunities for professional development with on-demand training
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