Job Specifications
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: artificial intelligence,ai,rag,tensorflow,gcp,pytorch,azure,amazon web services (aws),ci/di,large language models (llms),mlops
About the Company
Leute Passen Technologies is an innovative technology company dedicated to delivering cutting-edge solutions that empower businesses and individuals to thrive in a rapidly evolving digital landscape. With a focus on creativity, efficiency, and customer-centricity, we specialize in developing tailored software, advanced IT services, and transformative digital strategies.
Our mission is to bridge the gap between technology and human potential by providing intuitive, scalable, and future-ready solutions. Whether it's through c...
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