AI Solutions Architect

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 business stakeholders interact with data.

You will join a small, highly skilled team and work directly with senior stakeholders to identify opportunities, design AI-powered solutions, and deliver them into production.

This is a hands-on role, combining deep technical expertise with strong communication skills, where you will independently drive initiatives from problem discovery through implementation.

This role closely resembles a Forward Deployed Engineer (FDE) profile: engaging directly with stakeholders, understanding complex business challenges, rapidly prototyping and deploying solutions, and taking full ownership of outcomes., * Lead the design and implementation of AI-powered solutions across enterprise data and analytics functions

• Work directly with stakeholders to understand business challenges and translate them into technical solutions
• Build production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations
• Develop intelligent document processing solutions for financial filings and structured financial content
• Design and enhance semantic search, retrieval, and data discovery capabilities
• Build natural language interfaces enabling non-technical users to interact with complex datasets
• Contribute to metadata modelling, governance frameworks, and AI enablement initiatives
• Own the full lifecycle from discovery through implementation, deployment, and optimisation
• Act as a trusted technical partner, driving delivery and business value independently

What Makes This Role Challenging

• You will operate in a highly visible environment where both technical excellence and stakeholder management are critical
• You will work on complex AI initiatives involving financial data, regulatory filings, and enterprise-scale retrieval systems
• You will be expected to operate with high autonomy and ownership
• Requirements will often be ambiguous and evolving, requiring structured problem-solving
• You must balance innovation and experimentation with reliability and production-grade quality
• You will regularly interact with senior stakeholders, translating complex technical concepts clearly

Do you have experience in Solution architecture?, * Strong experience developing solutions in Python (APIs, async architectures, pipelines, production systems)

• Hands-on experience with LLMs and Generative AI, including:
• Prompt engineering and structured output generation
• Tool use and agent orchestration
• Agentic workflows and multi-step reasoning
• Strong experience designing RAG (Retrieval-Augmented Generation) architectures:
• Embeddings, vector databases, retrieval pipelines
• Chunking, indexing, and evaluation frameworks
• Experience with knowledge representation and semantic modelling:
• Knowledge graphs, semantic search, metadata-driven architectures
• Strong SQL skills (analytics, joins, window functions)
• Experience with Python frameworks (FastAPI, pandas, etc.)
• Experience with enterprise data platforms (e.g. Snowflake)
• Ability to translate business problems into technical solutions
• Strong client-facing communication skills
• Proven ability to work with high autonomy and ownership
• Experience working with financial data / regulatory datasets
• Fluent English
• Willingness to travel occasionally if needed

Nice-to-haves

• Experience with AWS Bedrock or enterprise AI platforms
• Experience with AI development tools (Copilot, Cursor, Claude Code, etc.)
• Experience with graph databases (Neo4j) and knowledge graphs
• Experience with financial data extraction (SEC, EDGAR, XBRL)
• Exposure to metadata platforms (Collibra, MDM)
• Experience building AI-powered data marketplaces or semantic search platforms
• Background in consulting / solution architecture / FDE roles
• Experience working in highly consultative, enterprise environments

Pulled from the full job description

• Referral programme
• Employee discount
• Life insurance
• Private dental insurance
• Company pension
• On-site gym
• Private medical insurance, 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.

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.

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 more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.

At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact., Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence
• A company where people, trust, and diversity are core values
• An environment that values ownership, flexibility, and innovation
• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus.

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make hiring decisions or evaluate candidates.

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

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.