About this role
Salary: £59,000 - 99,000 per year
Requirements: We have designed, built and deployed LLM-based systems that run in production with real users, uptime expectations and sensitive data.We can explain how we measure whether a non-deterministic system is working, and how we would know if it had degraded over time.We are familiar with evaluation design, regression suites, golden datasets, failure taxonomies, guardrails and human review loops.We have written or substantially extended Model Context Protocol servers, or equivalent agentic tool frameworks.We have deep experience connecting AI to enterprise platforms, with fluency in data residency, PII handling, authentication and boundary-crossing concerns.We can code to a professional standard in Python or TypeScript, with readable, tested and documented code.We have built reusable IP inside a consulting or product environment.We are credible and comfortable with Director, VP and C-suite stakeholders.We can explain an architecture to a sceptical CISO and a cost model to a CFO.We have a genuine appetite for embedded delivery and are willing to sit with client operations teams and build inside their world.Smartsheet development experience, including API, Bridge and Data Shuttle, is desirable.Experience with temporal or slowly changing dimension data modelling is desirable.Multi-vendor fluency across Anthropic, OpenAI, Microsoft Copilot or Azure OpenAI is desirable.Experience in regulated sectors such as pharmaceuticals and life sciences, financial services or the public sector is desirable.Technical leadership of offshore or nearshore engineering teams is desirable.Published technical writing, conference speaking or open source contributions are desirable. Responsibilities: Design and sign off solution architecture on AI engagements within our Responsible AI framework.Establish and own our evaluation, testing and reliability standards for AI systems.Set the technical standards, patterns and documentation practices for the AI practice.Stay current across Anthropic, OpenAI and Microsoft and translate capability changes into delivery capability and commercial offerings.Build production AI systems hands-on, including agents, tool use, retrieval pipelines, MCP integrations and enterprise workflow connectors.Embed with client teams to map how work actually runs across functions, then design and deliver against it.Lead the delivery of a flagship cross-functional workflow end-to-end as the reference case for the practice.Act as the escalation point for complex technical issues on live engagements.Own and productise our AI delivery IP, including the accelerator framework, reusable components, prompt libraries and evaluation suites.Take our in-house MCP servers from internal tools to supported, documented, sellable assets and own their roadmap.Develop our temporal data and change analysis capability where it intersects with the AI practice.Lead technical pre-sales on complex and high-value opportunities, including discovery sessions, solution shaping, technical scope and feasibility.Own the technical narrative with Director, VP and C-suite stakeholders, including security and legal functions.Contribute to proposals, RFP responses and Statements of Work.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.Contribute to case studies, technical writing and partner assets.In the first 90 days, be embedded as technical lead on a live enterprise engagement, document and use architecture standards and the evaluation framework, and support live proposals.In the first six months, ship the first accelerator for reuse, deliver a flagship workflow end-to-end, and own the technical interview process for the AI team.In the first twelve months, build an accelerator library that reduces delivery effort, embed architecture sign-off across the practice, write onboarding for our offshore hub, and help win enterprise work as named technical lead. Technologies: AIAPIAzureCopilotEmbeddedSupportLLMMCPPythonSecurityTypeScriptCloudARMArchitect More:
Invoka Consulting partners with clients across all industries and around the world to design, implement and optimise innovative SaaS and AI solutions that deliver measurable business impact. We are an Elite Smartsheet partner, an OpenAI partner and an Anthropic partner. Our AI work is already in production, including automated regulatory compliance for a national sporting body, daily AI workloads inside a global pharmaceutical business, and our own Model Context Protocol server for Smartsheet. We are expanding our AI practice and offering a hands-on, embedded role with real ownership, direct access to partner teams and roadmaps, 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, an additional paid Volunteer Day each year, certification and conference budget, and a supportive, collaborative and ambitious team environment with the autonomy that comes from being early into a practice. Initial screening for this role is managed by our third-party recruitment partner, AES, and successful candidates will be contacted by AES.
last updated 36 week of 2026