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Deployment Strategist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: SolveAI
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer, Technical Support, Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

About SolveAI

Solve

AI empowers enterprise business users to solve their most critical problems by enabling them to build custom full-stack applications through natural language conversations. Our product is designed for non-technical business users, those closest to the problems, allowing them to turn their insights into production-ready, enterprise-grade solutions.

We integrate seamlessly with existing enterprise tech stacks while adhering to strict IT security and compliance standards, giving organizations the freedom to innovate without compromising system integrity, maintainability, or data protection.

Our approach is rooted in an enterprise-first philosophy and a problem-solving mindset, ensuring that we create scalable, compliant, and high-impact solutions tailored to each customer's environment.

We create a future where building enterprise software is as natural as having a conversation!

What We Offer
  • High-impact environment: Join a company shaping the future of enterprise software, working with a team that's redefining how AI meets real-world business needs

  • Ownership and visibility: In a small, high-performing team, the impact of your work isn't theoretical - it actively shapes the company's direction

  • Empowerment through innovation: Use cutting-edge AI tools internally. You'll be working with the same technology we deliver to enterprises

About the role

As a Deployment Strategist, you'll own customer deployments end-to-end: from the first discovery call to a workflow that's live, adopted, and expanding. You'll work directly with enterprise customers to understand how their organisations really operate, identify where AI can create the most leverage, and drive implementation through the ambiguity, politics, and technical constraints that come with it.

This isn't a project management role and it isn't a pure engineering role. It sits at the intersection of both, and the people who thrive here are ones who are just as comfortable in a room with a CFO as they are debugging an integration with an engineering team.

What you'll do
  • Lead customer discovery: identify operational bottlenecks, uncover high-impact workflows, and turn vague pain into a deployable solution

  • Own deployments end-to-end: discovery, workflow design, implementation, rollout, training, and iteration

  • Rapidly prototype and validate workflows with customers: shorten the loop between idea and live deployment

  • Act as the bridge between customer stakeholders, product, and engineering: align priorities and keep things moving

  • Drive adoption: design workflows people will actually use, build internal champions, reduce friction

  • Translate customer patterns into product insight: spot what's repeatable and feed it back to the team

  • Navigate stakeholder complexity across executive, operational, and technical audiences

What we're looking for

Beyond execution ability, we're looking for:

Structured thinking. You can absorb messy information quickly, find the root problem, and prioritise without being told what matters.

Customer instinct. You build trust fast. You listen well. You don't oversell and you don't go quiet when things get hard.

Ownership. You drive things to completion without being chased. You treat the customer's problem as your own.

On the experience side:

  • Strong background in customer-facing, ambiguous environments: solutions engineering, deployment strategy, consulting, customer engineering, or operational transformation

  • Track record of translating business problems into practical technical workflows

  • Comfortable discussing APIs, integrations, AI systems, and deployment constraints with engineering teams

  • Experience driving adoption and organisational change, not just delivering implementations, but making them stick

Nice to have
  • Experience deploying AI, automation, or workflow systems into enterprise environments

  • Familiarity with prompt engineering, workflow orchestration, or LLM-powered products

  • Experience running enablement sessions or customer training programmes

  • Background spotting scalable patterns from bespoke customer work and influencing product direction

Why SolveAI

At Solve

AI, you'll work alongside a team that's spent decades solving the hardest enterprise challenges, from operational inefficiencies to data fragmentation.

If you want to see real change in the world, care deeply about value add, and thrive when given ownership in unfamiliar environments, we'd love to hear from you.

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