Keyrus UK
Senior AI Engineer & Lead
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AI Solutions Architect – London, UK (Hybrid, Full-Time)
🌍 About Keyrus
Keyrus is a global consulting and technology company focused on making data matter—truly matter—from a human perspective.
Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with a team of 3,300+ people. Our core strength lies in combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a pragmatic understanding of business realities.
At Keyrus, we believe data should never be an end in itself. Instead, we use it to shape understanding, design meaningful experiences, and empower better real-life decisions.
Beyond performance, we believe companies have a responsibility to contribute positively to society, sustainability, and inclusion—both through our Foundation and ESG initiatives.
#OneTeamOneKeyrus
🎯 The Role
As an AI Solutions Architect, you will work at the intersection of artificial intelligence, data engineering, and business problem-solving, helping transform how analysts, researchers, engineers, and stakeholders interact with data.
- Join a small, highly skilled team, working directly with senior stakeholders
- Identify AI opportunities, design solutions, and drive them into production
- This is a hands-on role, blending technical expertise with execution ownership
- Aligns closely with a Forward Deployed Engineer (FDE) profile—direct stakeholder engagement, rapid prototyping, and full solution ownership
📍 Location: London, UK 🕒 Contract Type: Employee or Inside IR35 🗓 Target Start Date: July 2026 ⏰ Working Hours: Full-time (40h/week) 💵 Compensation: £58k–£87k (Senior) or £83k–£108k (Principal) 📝 Note: Applications must be submitted in English.
💥 Your Impact
In this role, you will:
- Lead the design and implementation of AI-powered solutions across enterprise data and analytics functions
- Collaborate directly with stakeholders to translate business challenges into technical solutions
- Build production-grade agentic AI systems, leveraging:
- LLMs, retrieval architectures, and semantic models
- Financial filings processing and structured financial content analysis
- Develop semantic search, retrieval, and data discovery capabilities
- Design natural language interfaces for non-technical users
- Contribute to metadata models, governance frameworks, and AI enablement initiatives
- Own the full solution lifecycle—discovery, implementation, deployment, and optimisation
- Serve as a trusted technical partner, delivering business impact independently
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⚡ Why This Role Is Challenging
- High visibility & stakeholder ownership: Technical and communication excellence are critical
- Complex AI initiatives: Financial and regulatory data, enterprise-scale retrieval systems
- High autonomy: Requirements are often ambiguous and evolving
- Balancing innovation & reliability: Production-grade AI that scales
- Cross-functional collaboration: Clarity in translating complex technical concepts for non-technical stakeholders
👤 What We’re Looking For
Must-haves
✅ Python mastery:
- APIs, async architectures, pipelines, production systems
- LLM & Generative AI experience:
- Prompt engineering and structured output generation
- Tool use & agent orchestration, multi-step reasoning
- RAG architecture design:
- Embeddings, vector databases, retrieval pipelines
- Chunking, indexing, evaluation frameworks
- Knowledge & semantic modeling:
- Knowledge graphs, semantic search, metadata-driven architectures
- SQL expertise: Analytics, joins, window functions
- Python frameworks: FastAPI, pandas, etc.
- Enterprise data platforms experience (e.g., Snowflake)
- Ability to translate business problems into technical solutions
- Strong client-facing communication
- Proven high-autonomy ownership)
- Experience with financial/regulatory datasets
- Fluent English
- Occasional travel readiness
Nice-to-haves
✨ AWS Bedrock or enterprise AI platform experience ✨ AI development tools: Copilot, Cursor, Claude Code ✨ Graph databases (Neo4j) & knowledge graphs ✨ Financial data extraction: SEC, EDGAR, XBRL ✨ Metadata platforms: Collibra, MDM ✨ Semantic search/data marketplace development ✨ Consulting/architecture/FDE background ✨ Highly collaborative enterprise experience
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💰 How Our Salary Ranges Work
At Keyrus, salary ranges reflect mastery & impact—not job titles.
🔹 Lower end: You meet core requirements and need ramp-up support. 🔹 Mid-range: You’re fully autonomous from day one, delivering consistently. 🔹 Upper end: You’re a reference for the role, mentor others, and raise the bar
Final offers depend on experience, autonomy, scope, and market context—all discussed transparently.
🎁 What We Offer at Keyrus UK
- Competitive holiday allowance
- Private Medical & Dental Insurance (Bupa)
- Group Life Insurance
- Gym discounts (off-site/on-site via Pluxee)
- Travel, retail & entertainment discounts (Pluxee)
- Auto-enrolment pension scheme (Aegon)
- Training & development (KLX)
- Focus on career growth & internal mobility
- Electric/hybrid car scheme (Tusker)
- Annual pay review + discretionary bonus
- Referral bonuses for new hires
💙 Why Keyrus?
Join a company that values: 🔹 Market leadership in Data Intelligence 🔹 People, trust & diversity as core values 🔹 Ownership, flexibility, and innovation 🔹 Diverse perspectives driving better outcomes
"Diversity drives better thinking, stronger teams—and better results. Everyone belongs at Keyrus."
Recruitment Process:
- Conducted and evaluated by human recruiters & interviewers
- Limited AI note-taking (never for hiring decisions)
- AI use by candidates during interviews is strictly prohibited—violations lead to disqualification
♿ Equal Opportunity Statement
Keyrus is committed to an inclusive workplace. Applications are welcome from all backgrounds, regardless of: � விட வேண்டியதற்கு அவர்களின் race, ethnicity, gender identity, sexual orientation, age, disability, or any protected characteristic.
🚨 Note: AI-generated output was included for reference only. Unauthorized AI during your application process can result in disqualification.
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