Job Description

Senior AI Solutions Architect (LLM & Client-Facing)

Work Mode:

Hybrid

Location:

London

What You'll Do:

Design & Architect AI Solutions:

Architect and implement advanced LLM systems (RAG, fine-tuning, agents, copilots) from concept to production. Design end-to-end AI pipelines encompassing data processing, model evaluation, deployment, and monitoring. Select and optimize the use of commercial and open-source LLMs (e.g., GPT, Claude, LLaMA) for performance, cost, and security. Build scalable, secure, and cost-efficient cloud-based AI architectures.

Lead Client Delivery & Advisory:

Act as the primary technical point of contact for enterprise clients, translating business needs into technical requirements and solutions. Lead workshops, solution walkthroughs, and presentations for both technical and executive audiences. Own project delivery timelines, manage risks, and ensure projects are delivered on time and within scope.

Drive Team Leadership & Growth:

Mentor and coach junior and mid-level data scientists and ML engineers. Contribute to hiring, onboarding, and the establishment of technical standards and best practices. Lead and scale a high-performing AI delivery team, fostering a culture of excellence. Establish robust practices for code quality, documentation, model governance, and MLOps.

What We're Looking For:

Must-Have Qualifications:

6+ years of professional experience in data science, machine learning, or AI engineering. Proven, hands-on experience building and deploying LLM applications (RAG, agents, fine-tuning) in production environments. Expertise in Python and deep learning frameworks (PyTorch or TensorFlow). Deep technical knowledge of prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning, and inference optimization. Solid experience deploying and monitoring models in production on a major cloud platform (AWS, Azure, or GCP). Proven client-facing, consulting, or stakeholder management experience with excellent communication and presentation skills.

Nice-to-Have Qualifications:

Experience directly mentoring or leading technical teams. Strong MLOps skills (CI/CD, containerization, model monitoring) using tools like MLflow, Weights & Biases, etc. Experience working in regulated industries (finance, healthcare, enterprise SaaS). Knowledge of AI governance, responsible AI, data privacy, and security standards. Experience scoping projects, estimating timelines, and writing technical proposals.

What Success Looks Like in Your First Year:

Successfully deliver multiple end-to-end LLM projects for key clients, achieving defined success metrics. Become the go-to trusted AI advisor for a portfolio of clients and internally for company leadership. Design and socialize reusable frameworks, patterns, and best practices that elevate our team's efficiency and quality. Take on clear leadership responsibilities for a growing team, contributing directly to their development and the team's productivity gains.
Job Types: Full-time, Permanent

Pay: 70,000.00-100,000.00 per year

Application question(s):

What are your total annual compensation expectations for this role, in British Pounds (GBP)? Please provide a base salary range. This is a Hybrid role and requires significant collaboration with teams based in North American time zones. Are you able and willing to work this schedule consistently? If successful, what would be your earliest possible start date? Please include your current notice period.
Work Location: Hybrid remote in London