Senior AI Solutions Engineer What You’ll Be Doing Quick Wins & Solution Delivery •Design, build, and deploy agentic solutions (Claude-based where appropriate) that deliver measurable outcomes within weeks, not quarters External Partner Engagement & Capability Transfer
Location: Stone, Staffordshire Hybrid working, 2 days a week in our Stone Office)
Status: Permanent
Package: Competitive Salary, Flexible Working, Development & Opportunity (Personal & Technical), Private Medical (Optical & Dental options), Matching Contributory Pension, 25 Days Leave + Public Holidays + Buy and Sell Scheme, Life Insurance, Referral Scheme, Employee Assistance Program, Benefits Hub.
At Instem, you’ll empower pharmaceutical companies, CROs, government agencies, academic institutions, by providing cutting-edge SaaS solutions and consultancy services designed to help researchers make discoveries, and to accelerate and advance their research programs.
You’ll work with technology that supports over 50% of global drug discovery and is trusted by leading pharmaceutical, biotech and CRO organisations worldwide.
This is a senior individual contributor role focused on realising AI value across Instem — identifying enterprise opportunities, delivering quick wins, onboarding departments to agentic ways of working, and surfacing opportunities for AI inside the products we sell to customers.
You will work directly with business functions — commercial, operations, quality, finance, HR, support — to find where agents can remove friction, automate process, and unlock new capability. You'll then build, deploy, and embed those solutions, agentically where possible.
This is a hands-on role: you will discover opportunities, prototype rapidly, deliver measurable outcomes, and enable teams to continue the work themselves. Think part solutions engineer, part internal consultant, part builder.
Our Culture & Work Environment.
You’ll be part of a friendly, solutions-focused environment within a global business of over 400 people. Here, you’ll experience a high-performance culture balanced with genuine flexibility - we trust you to take ownership, deliver meaningful results, and work in a way that suits you.
You’ll be encouraged to grow, share your ideas, and make a real impact. We’re passionate about creating a place where you can develop your skills, contribute confidently, and succeed in your career.
Why join us as a Senior AI Solutions Engineer?
This role is brand new and one of a kind!
Your work operates across three AI maturity levels, applied progressively to each business function. Everyday AI is AI that makes daily work faster: off-the-shelf tools with brand-trained prompts and Claude Skills, heavy human in the loop, individuals own and refine their own prompts, time to ship is days. Examples include image and document generation, slide creation, translation and regionalisation, data cleaning and formatting, and internal communication assembly. Functional AI is AI embedded into function workflows: custom agents built by a small AI power-user core inside each function in close collaboration with IT and engineering, decisions are systematised, humans review at gates, time to ship is weeks. Examples include signal-routing agents, prospecting and lead-qualification agents, brand and content review agents, quoting and proposal-support agents, and segmentation enrichment agents. Enterprise AI is AI connecting workflows across functions: end-to-end orchestrated workflows on top of a shared knowledge layer with agent ops, evaluation, and observability infrastructure, time to ship is months. Examples include knowledge graphs, modular content registries, citation and claim provenance, cross-system attribution, and talk-to-data over the enterprise data estate.
You will partner with the AI Platform and Product Engineering functions — consuming their shared capabilities, feeding back real-world requirements, and helping set the direction for how Instem operates with AI, both internally and in our products.
You will frequently be the Instem-side technical owner of external AI partner engagements. Each major business function may bring in an external AI partner for a Phase 1 build (marketing is the first; sales operations, customer success, solutions and implementation consulting, outsourced services, finance, and people and culture will follow in sequence set with the Chief Scientific Officer).
•Foundation Tracks (gating prerequisites for every downstream pilot)
•Current-state audit of the tools and platforms in each business function in scope (CRM and marketing automation in commercial; support and ticketing systems in client support; LMS and training systems in education services; finance and •HR systems in their respective functions; document management, internal knowledge bases, and data warehouses everywhere). AI inventory; data quality and attribution baseline. Output gates every downstream pilot.
•Shared knowledge layer: brand corpus, product knowledge, scientific claims library, modular content registry, customer data. Centralised, versioned, Instem-owned. The single asset every agent reads from and writes to.
•Evaluation and observability infrastructure: deterministic evals, LLM-as-judge harnesses, production logging, edit-distance and task-success tracking. No prompt or agent reaches production without an eval that holds.
Opportunity Discovery & Enablement
•Partner with department leaders to map current processes and identify high-value AI opportunities
•Run lightweight discovery sessions that surface quick wins and larger transformation plays
•Prioritise opportunities by value, effort, risk, and readiness — and help the business sequence them
•Build using the existing agentic ecosystem — Cowork, Claude Code, MCP servers, skills, plugins, and platform-provided components — extending only when necessary
•Ship end-to-end: from prompt and skill authoring, through tool integration, to rollout and handover
•Act as Instem-side technical owner of external AI partner engagements as each major business function brings one in (marketing first; sales operations, customer success, solutions and implementation consulting, outsourced services, finance, and people and culture in sequence)
•Receive each vendor handoff: code, prompts, evals, repository, runbooks. Operate vendor-free within 30 days. Document gaps and resolve them.
•Stand up small AI power-user cores inside each function: colleagues trained to prompt and build agents themselves with your support
•Transition external partner work to internal build cycles led by you as each partner exits. Over time the proportion shifts: less time receiving handoffs, more time building from scratch.
Department Onboarding & Adoption
•Lead AI onboarding for departments — from exec briefings, through hands-on enablement, to embedded champions
•Produce adoption playbooks, templates, and patterns tailored to each function's workflow
•Track adoption, usage, and outcomes — and iterate based on what the data shows
Process Improvement & Automation
•Improve and automate internal processes using agents — building where possible, buying where sensible
•Identify and remove the manual, repetitive, and low-value steps that agents are well-suited to absorb
•Partner with process and quality owners to ensure improvements are compliant and auditable
AI Opportunities in Our Products
•Partner with Product Management, Product Engineering, and customer-facing teams to identify where AI can improve customer workflows, automate effort, and drive customer success inside Instem's products
•Act as a business-analyst-style function for AI in our products — spotting opportunities, framing business cases, capturing requirements, and defining success metrics
•Ideate and lightly prototype concepts to prove value and de-risk direction before Product Engineering invests in full delivery
•Hand well-scoped opportunities over to the Principal AI Product Engineer and wider Product Engineering teams, who lead build and production delivery
•Stay close through delivery to ensure intent is preserved, customer feedback is captured, and adoption is supported post-launch
Ecosystem Contribution
•Feed requirements, patterns, and reusable building blocks back to the AI Platform and Product Engineering teams
•Contribute skills, prompts, MCP servers, and plugins to Instem's shared agentic ecosystem
•Share learnings, demos, and playbooks broadly — lifting AI capability across the business
Governance & Safe Adoption
•Ensure solutions respect Instem's AI usage, data handling, and governance expectations
•Work within the Architecture engagement model for automations, agents, and embedded workflows
•Flag risk, confidentiality, and compliance questions early — and route them through the right channels
What We’re Looking For
•Significant experience delivering technology solutions in enterprise settings — solutions engineering, product engineering, internal tools, business analysis, or consulting backgrounds all welcome
•Hands-on experience building with Claude (or comparable frontier models), including prompts, tools, and agent-style workflows
•Practical experience with Instem's agentic surfaces — Cowork, Claude Code, MCP, skills, plugins — or demonstrable ability to ramp quickly
•Track record of identifying, scoping, and delivering process or automation improvements with measurable business outcomes
•Business-analysis-style skills — framing problems, writing clear requirements, defining success metrics, and handing work over well
•Experience partnering with Product Management and Product Engineering teams to move opportunities from idea into delivery
•Strong stakeholder management — able to work credibly with exec sponsors, process owners, product leaders, and hands-on users
•Proficient in at least one of Python or TypeScript; comfortable integrating with SaaS APIs, spreadsheets, and enterprise systems
•Comfortable with web fundamentals, auth, scripting, and basic infra — enough to ship small production-ready automations end-to-end
•Experience running discovery, prioritisation, and enablement sessions with non-technical teams
•Awareness of security, data protection, and governance considerations in enterprise and customer-facing AI deployments
•Ability to write clearly — playbooks, runbooks, adoption guides, opportunity briefs, and internal comms
•Bachelor's degree in a relevant discipline, or equivalent practical experience
Desirable:
•Experience in regulated environments (life sciences, healthtech, GxP) or working with QMS-aligned processes
•Experience authoring MCP servers, Claude skills, or Cowork plugins for internal use
•Background in enterprise change management, adoption, or internal product roles
•Experience in a product-facing BA, product owner, or solution consultant capacity — translating customer need into shippable product requirements
•Familiarity with Microsoft 365 Copilot, agents, Power Platform, or comparable enterprise AI tooling
•Experience working alongside Architecture or governance functions on AI-embedded workflows
•Knowledge of Instem's customer base and domain (preclinical, regulatory, life sciences) sufficient to spot where AI adds customer value
What We Offer
We invest in you because you’re at the heart of our success. Depending on your location, you’ll have access to a range of benefits, including:
•Comprehensive Healthcare (Medical, dental, vision, life, and more)
•Comprehensive wellbeing and support initiatives
•Clear career pathways to support you with getting to the next level
•Pro-rated and immediate vacation days
•Continuous training and development
•Generous retirement plans
Ready to Make a Difference?
Join a team that values your perspective and supports your growth, while helping shape the future of life sciences. Apply now - we’d love to hear from you, and our Talent team will be in touch.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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