Forward Deployed AI Engineer

As a Forward Deployed AI Engineer, you work at the heart of a client’s most pressing AI challenges , turning intent into an operational, measurable result in weeks rather than months. This is a experienced individual-contributor rolen for someone wh combines hands-on engineeringo architectural judgment , ,business understanding.and

You own the problem from ambiguity through to execution- understanding the real context, building and deploying the solution, and proving, not declaring, that it creates value. Once the terrain is understood,you become the reference the team relies onto make that result last.

Your responsibilities

Co-create solutions with business and technical stakeholders

Locate, qualify, and secure access to the data required for each use case , working directly with Data Engineers

Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants , an AI-enabled workflowsd.

Design, test, deploy, monitor, and improve solutions

Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.

Balance speed, quality, cost, security, and maintainability

Define success criteria including adoption, performance, reliability, risk, cost, and measurable business value.

Ensure solutions are documented, governed, and transferableso clients can operate them with confidence.

Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements., Final offers are based on experience, autonomy, scope, and market context , and are discussed transparently during the process.

?? Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. note-taking purposes during interviewsr . AIneveris used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process i strictly prohibiteds .

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

?? Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

You are a hands-on engineer who thinks like an architect and acts like a builder. You are comfortable working closely with the client, the problem, and the delivery, and you make sound decisions in complex, evolving environments.

You enjoy solving operational challenges , not only exploring technical concepts.

You communicate clearly with both technical teams and senior business stakeholders.

You navigate ambiguity with confidence, validate assumptions, and adapt quickly.

You take ownership of outcomes raise risks or changing priorities early.

You understand that AI value depends on the full system : data, workflows, governance, adoption, and measurement.

You naturally look for what can be reused, improved, and scaled ., 5-10 yearsof relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting .

Hands-on experience delivering AI, GenAI, or software solutions into production.

Experience working directly with clients or in complex stakeholder environments.

Evidence of turning complex use cases into adopted, measurable solutions.

A degree in Computer Science, Engineering, Artificial Intelligence, Data Science , or a related field, or equivalent practical experience.

Ability to work effectively in multidisciplinary environments.

Professional proficiency in English .

Technical & Professional Skills

Strong Python development skills, API integration experience, and modern software-engineering practices .

Hands-on experience with Large Language Models (LLMs), GenAI architectures, prompt workflows, and model/provider selection .

Experience with RAG, embeddings, vector search, AI agents, and agentic workflows .

Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen , or comparable tools.

Experience integrating AI into enterprise systems, APIs, and business workflows.

Experience with at least one major cloud platform: Azure, AWS, or GCP .

Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation .

Understanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles .

Nice to Have

Experience in consulting or client-facing environments .

Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs .

Front-endor full-stack development experience, for example, Node.js or React .

Exposure to regulated industries or enterprise governance requirements ., You combine technical credibilitypragmatism, , a end-to-end ownershipnd .

You focus on real-world outcomes, adoption, and measurable value -not only the solution itself.

You move quickly while balancing speed, quality, cost, and risk .

You build trust and become a reliable partner in complex client environments.

You operate effectively under pressure in client environments, where progress and results are continuously visible .

You know when to go deep technically and when to orchestrate the right expertise.

You continuously improve, reuse, and scale what works across engagements.

?? Job location: ?? Contract type:) Employee contrac ?? Target start date:ct September 20 ? Working hours:026 Full-time (40h/we ?? Compensation: £87k-£105keek) per year

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organisations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organisations.

AI does not transform businesses. Architected intelligence does.