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CloudFactory

Forward Deployed Engineer

Reading
Level
Mid

Not stated in the posting: salary, work type, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

About the role

CloudFactory's standard text

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

  • Mission-Driven: We focus on creating economic and social impact.
  • People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
  • Innovative: We embrace change and find better ways to do things together.
  • Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

Role Summary:

Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.

You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.

This is a hands-on engineering role with strong product and client-facing responsibilities.

Location & Travel:

  • Preferred location: Reading area, UK and Berlin, Germany
  • Relocation assistance available for qualified candidates
  • Frequent travel to client sites may be required (depending on client needs)

Responsibilities:

AI Deployment Architecture:

  • Design and implement integrations between client systems and CloudFactory’s platform
  • Architect scalable agentic AI & human-in-the-loop workflows
  • Define data ingestion, transformation, and feedback loops
  • Evaluate system bottlenecks (latency, quality, throughput)

Product Readiness & Scale:

  • Translate proof-of-concept AI systems into scalable production workflows
  • Identify operational risks before deployment
  • Partner with Delivery teams to ensure execution feasibility
  • Improve reliability and reduce manual intervention

Hands-on Engineering:

  • Build APIs, connectors, automation scripts, and data pipelines
  • Debug integration issues in client environments
  • Contribute to internal platform enhancements

Field Product Intelligence:

  • Surface recurring patterns from client deployments
  • Distinguish between custom solutions and reusable features
  • Influence roadmap priorities with evidence from the field

Technical Leadership:

  • Lead technical discovery sessions
  • Support pre-sales validation
  • Act as trusted advisor to enterprise engineering teams

Requirements

Engineering depth:

  • 2+ years software engineering experience
  • Strong proficiency in Python, Go
  • Proficiency with Claude and all relevant AI tools
  • Experience with cloud infrastructure (AWS/GCP/Azure)
  • Experience building APIs and working with distributed systems

Systems thinking:

  • Experience designing data pipelines or ML infrastructure
  • Ability to evaluate end-to-end workflow performance
  • Familiarity with AI/ML lifecycle (training → inference → evaluation → feedback)

Product judgement:

  • Ability to differentiate scalable feature opportunities from custom requests
  • Strong prioritization instincts

Communication:

  • Ability to communicate with C-level and deeply technical stakeholders
  • Comfortable running technical workshops
  • Able to translate ambiguity into architecture

Benefits

CloudFactory's standard text

At CloudFactory, we believe that work should be more than just a job, it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work, we can’t wait to meet you!

What this role asks for

Standard for solutions / sales engineering roles

Python

Common in solutions / sales engineering postings at any company.

63% of this description is written for the role. The rest is CloudFactory's standard text, folded away below.

Read against CloudFactory's other open postings on this site.

The team: Operations HIRES STEADILY

This role is one of 15 open in Operations. 3 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

AWS (2 of 15), Azure (2 of 15), GCP (2 of 15), MLOps (2 of 15), Python (2 of 15)

OTHER ROLES ON THIS TEAM

From the team and dates on CloudFactory's own job board.

Salary context

185 other open postings titled Forward Deployed Engineer state a salary: median USD 150,000 to USD 220,000 a year.

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