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.
Must-Have Qualifications
What We’re Looking For:
* 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.
Skills: large language models (llms),amazon web services (aws),artificial intelligence,pytorch,deep ml,rag,computer vision,gcp,ai,nlp,tuning,tensorflow,leadership,ci/di,mlops,azure,fine-tuning
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