Capability and Intellectual Property

• Own and productise Invoka's AI delivery IP: the accelerator framework, reusable components, prompt libraries and evaluation suites.
• Take our in-house MCP servers from internal tools to supported, documented, sellable asset, and own its roadmap.
• Develop our temporal data and change analysis capability, which we deliver as a service inside client engagements, where it intersects with the AI practice.

Pre-Sales and Client Engagement

• Lead technical pre-sales on complex and high-value opportunities: discovery sessions, solution shaping, technical scope and feasibility.
• Own the technical narrative in front of Director, VP and C-suite stakeholders, including sceptical security and legal functions.
• Contribute to proposals, RFP responses and Statements of Work, ensuring what we sell is what we can deliver.

Practice and Team Development

• Set and hold the technical bar for AI delivery hires: define the interview process, assess candidates, and mentor the engineers who join.
• Write the technical onboarding for our Poland delivery hub, launching next year.
• Contribute to case studies, technical writing and partner assets that build Invoka's reputation in the market.

Required Skills and Experience

• Production AI systems you have actually shipped. You have designed, built and deployed LLM-based systems that run in production with real users, uptime expectations and sensitive data. We will want to talk about who uses them, how often, and what broke.
• Evaluation and reliability engineering. You can explain how you measure whether a non-deterministic system is working, and how you would know six months later that it had degraded. Evaluation design, regression suites, golden datasets, failure taxonomies, guardrails and human review loops are familiar territory.
• Model Context Protocol at authoring depth. You have written or substantially extended MCP servers, or equivalent agentic tool frameworks. We already run MCP servers in production, so we need someone who can extend, productise and maintain them.
• Enterprise integration, security and data governance. Deep experience connecting AI to enterprise platforms, and fluency in what a CISO and a legal team will actually ask about data residency, PII handling, authentication and boundary crossing.
• Python or TypeScript to a professional standard. Readable, tested, documented code.
• Reusable assets, not just projects. You have built IP inside a consulting or product environment and understand that unversioned, undocumented work is not an asset.
• Enterprise client presence. Credible and comfortable with Director, VP and C-suite stakeholders. You can explain an architecture to a sceptical CISO and a cost model to a CFO in the same meeting. Clear writing matters here as much as clear speaking.
• Genuine appetite for embedded delivery. You are willing and able to sit with a client's operations team, learn how their work really runs, and build inside their world rather than at arm's length.

Nice to Have

• Smartsheet development experience: API, Bridge, Data Shuttle. This is the intersection where much of our AI work sits.
• Temporal or slowly changing dimension data modelling.
• Multi-vendor fluency across Anthropic plus OpenAI, Microsoft Copilot or Azure OpenAI. Our advisory work is deliberately tool-neutral.
• Experience in regulated sectors: pharmaceuticals and life sciences, financial services, or public sector.
• Technical leadership of offshore or nearshore engineering teams.
• Published technical writing, conference speaking, or open source contributions.

What the First Year Looks Like

• First 90 days. Embedded as technical lead on a live enterprise engagement. Architecture standards and the evaluation framework documented and in use. Named technical lead on live proposals.
• First six months. Your first accelerator shipped and reused on a second engagement, with the delivery time saving measured. A flagship cross-functional workflow delivered end-to-end. Owning the technical interview process for the AI team.
• First twelve months. An accelerator library that measurably reduces delivery effort on repeat work. Architecture sign-off embedded across the practice. The technical onboarding written for our offshore hub. A track record of enterprise work won with you as the named technical lead.

Perks and Benefits

• Equity participation.
• Performance-related bonus.
• Employer-paid private medical and Dental insurance.
• Monthly employer pension contributions.
• 25 days paid holiday plus 8 UK bank holidays plus your birthday off.
• 1 additional paid Volunteer Day annually to support community initiatives.
• Certification and conference budget, including Anthropic, OpenAI and Microsoft partner programme training.
• Direct access to Anthropic, Microsoft and Smartsheet partner teams and roadmaps.
• A supportive, collaborative and ambitious team environment, with the autonomy that comes from being early into a practice.

Initial screening for this role is being managed by our third-party recruitment partner, AES. Successful candidates will be contacted by AES, and all interviews are conducted by Invoka's leadership team.