Forward Deployed AI Engineer

Your responsibilities

• Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.
• 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 , and AI-enabled workflows .
• Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.
• 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 while making clear technical and delivery trade-offs.
• Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.
• Ensure solutions are documented, governed, and transferable so clients can operate them with confidence.
• Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

👤 Who You Are

Qualifications & Experience

• 5–10 years of 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

⭐ What Makes You Successful

🎁 What We Offer at Keyrus UK

• Competitive holiday allowance
• Private Medical & Dental Insurance (Bupa)
• Group Life Insurance
• Gym & fitness discounts via Pluxee (Sodexo)
• On-site gym access at our London office
• Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)
• Auto-enrolment pension scheme with Aegon .
• Training & Development via KLX (Keyrus Learning Experience)
• Strong focus on career development and internal mobility .
• Electric & hybrid car scheme via Tusker
• Annual discretionary bonus , based on individual and company performance
• Referral bonus for introducing new colleagues.

💰 How Our Salary Ranges Work

• At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
• Bottom of the range You meet the core requirements and will need ramp-up time and support.
• Middle of the range You are fully autonomous from Day 1 and deliver consistently.
• Top of the range You are a reference for the role, mentor others, and raise the bar for the team.
• Final offers are based on experience, autonomy, scope, and market context , and are discussed transparently during the process.

🔒 Responsible AI & Recruitment

♿ Equal Opportunity Statement