Lead Cloud & AI Platform Engineer

Working at Create Future

Create Future is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as Pay Pal, adidas, Nat West, Fan Duel and Money Saving Expert, building digital products and services that make a difference while always putting people first.

We’re a team of creators. We write code, shape delivery, build go‑to‑market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.

• 35 days leave (including bank holidays).
• Private medical insurance.
• Enhanced parental and adoption leave.
• 40 hours of paid learning and development.

Join us on our journey. Let’s create tomorrow, together, today.

At Create Future, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise to provide best practice advice and processes within your project team and the wider capability.

As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI life cycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client. Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth.

You will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers.

• Growth Mindset: Apply a growth mindset to identify new revenue opportunities on client accounts, working alongside the commercial team to successfully land additional work.
• Pre‑Sales Contribution: Lead and contribute to pre‑sales activities, RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high‑value Cloud and Data advisory roles.
• Ambassadorial Presence: Act as an ambassador for Create Future in the public space, attending events, speaking, blogging, or leveraging social media to support the growth of the Cloud capability.
• Hands‑on: you are an experienced engineer and can be active with the cloud platform tools, software development and writing efficient code for clients.

• Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor.
• AI‑Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval‑Augmented Generation (RAG) architectures.
• Agentic Development: Build production‑grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap.
• Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire Create Future organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes.
• Fin Ops & Governance: Enforce strict automated security and cost controls, real‑time cost‑anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of Open Telemetry or other telemetry approaches.
• Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference…