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Dir of Generation Engineering

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Sprint Reply UK
Full Time position
Listed on 2026-02-25
Job specializations:
  • Engineering
    Systems Engineer, AI Engineer
Job Description & How to Apply Below
Position: Dir of Next Generation Engineering

3 days ago Be among the first 25 applicants

Direct message the job poster from Sprint Reply UK

Managing Director / Partner @ Sprint Reply

Sprint Reply is an AI tech innovation consultancy that delivers experience-led, value-focused solutions for some of the world’s most forward-thinking organisations. We specialise in designing and delivering AI-powered, data-driven products that help businesses work smarter and unlock measurable impact. Our mission is simple: don’t waste humans. We use intelligent technology to remove friction, automate the mundane, and empower people to focus on the work that matters most - unlocking human potential, not replacing it.

The Opportunity

As Director of Next Generation Engineering, you will lead the charge in scaling our software engineering capability into an AI-native, performance-focused powerhouse. This isn’t just about great engineering - it’s about shaping how AI is embedded across the full software delivery lifecycle to make engineering faster, smarter, more secure, and more impactful.

You will define the standards, tools, and ways of working that drive the evolution of our engineering function into a scalable product engine fit for the generative AI era. From developer experience to Dev Ops pipelines, testing to telemetry, you will own the playbook that makes intelligent engineering the norm.

You’ll be a strategic leader and hands-on enabler - equally comfortable setting engineering vision with the C-suite, as you are guiding teams through platform design decisions, code automation patterns, or proof-of-value evaluations.

Your Responsibilities

As Director of Next Generation Engineering, you will lead the future of engineering at Sprint Reply setting the vision, standards, and roadmap for scalable, AI-augmented software delivery. You will define and track engineering KPIs, focusing on productivity, quality, stability, and efficiency.

You’ll embed repeatable practices that drive consistent excellence across build, deploy, and feedback cycles. Leading on AI-native engineering, you’ll integrate tools like code co-pilots, test generators, and design assistants to enhance speed and innovation across the SDLC. You’ll also curate and evolve our AI/ML tool stack to maximise value delivery.

You will oversee the maturity of our cloud-native platforms including secure Dev Sec Ops , automated testing, and observability and drive adoption of modular, composable architecture and infrastructure-as-code for scalable delivery.

A key part of your role will be enabling teams. You’ll coach engineers, architects, and technical leads, build a strong internal engineering chapter, and embed best practices and reusable patterns to uplift engineering capability across the business.

You will be a visible technical leader in client and partner engagementsfrom early conversations to post-implementation. Acting as a technical ambassador, you will represent Sprint Reply with partners like Microsoft, AWS, Google, and OpenAI, helping to align our engineering strategy to the latest innovations.

What We Expect

You will lead with a clear and compelling engineering vision, setting direction as a visionary technologist who can see what’s next and make it real. You’ll be a performance-driven leader who thrives on measurable outcomes and optimised delivery systems. As a toolsmith and builder, you’ll enjoy designing reusable frameworks and engineering enablers that uplift teams. You’ll act as an integrator - aligning people, process, platforms, and AI into seamless delivery excellence - while empowering others by fostering technical growth, unlocking potential, and building strong, vibrant engineering communities.

We're looking for someone who has:

  • 10+ years in software engineering, with deep experience scaling engineering teams and platforms in fast-paced environments.
  • Proven experience implementing AI/ML-enabled tooling into engineering practices at scale (e.g. Windsurf, Git Hub Copilot, test generation, anomaly detection, CI/CD accelerators).
  • A strong understanding of modern software engineering practices, including Dev Ops, SRE, IaC, composable architecture, cloud-native design (Azure/AWS/GCP).
  • Demonstrable…
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