Avalere

AI Solutions Consultant

Avalere

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI use casesdata schemasprompt-based systemsdiscovery and business analysisworkflow automationlow-code toolsUX designproduct scalingengineering backgroundtechnical education
Soft Skills
stakeholder managementwritten communicationverbal communicationproblem-solvinganalytical thinkingcollaborationadaptabilityclarity in communicationrecommendation presentationrisk assessment