AI Architect (Wealth)

This position is pivotal in designing AI and Machine Learning solutions on cloud-based platforms, exploring emerging AI trends, developing proof-of-concepts, and collaborating with internal and external ecosystems to advance these concepts to production. The role demands expertise in designing AI platforms and governance frameworks, with delivery experience in regulated environments.

Responsibilities

• Consume, integrate, and operationalise advanced AI models, including Large Language Models (LLMs) and Small Language Models, into secure, governed, and scalable business solutions.
• Enforce data-handling policies in code, utilising prompt redaction middleware, retrieval allow-lists, and per-use-case policies.
• Add evaluation gates for answer quality and safety in pipelines, implement canary deployments with feature flags, and automate rollbacks on drift.
• Manage the lifecycle of models, including fine-tuning with consented datasets, synthetic augmentation policies, and maintaining model registry entries with lineage.
• Implement tracing for observability, manage latency and cost SLOs, and set alerts for hallucination and safety incidents.
• Develop provider abstractions for OpenAI, Gemini, Azure OpenAI, and Vertex, including capturing provider/region, model/version, and quota routing.
• Schedule index rebuilds, freshness windows, incremental sync, and manage search quality dashboards with regression alerts.
• Develop APIs and microservices to integrate AI with internal and external applications.
• Partner with business stakeholders to identify and validate use cases.

Essential Skills

• At least 6-10 years of hands-on development and architectural experience.
• Proficiency in Python, PyTorch, TensorFlow, or similar frameworks.
• Experience with supervised, unsupervised, and reinforcement learning.
• Solid grounding in Natural Language Processing (NLP) concepts such as tokenisation, embeddings, semantic search, text classification, and summarisation.
• Strong understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP).
• Knowledge of statistics, probability, and model evaluation techniques.
• Experience with Retrieval-Augmented Generation (RAG) and vector databases like Pinecone or Weaviate.
• Proven track record of designing, developing, deploying, and managing AI/GenAI solutions in production.

Additional Skills & Qualifications

• A broader understanding of machine learning algorithms.
• Exposure to multimodal AI (text + vision, speech).
• Data engineering and analysis skills including ETL pipelines and feature engineering.
• Familiarity with MLOps/DevOps pipelines, monitoring, and retraining.
• Understanding of knowledge graphs, embeddings optimisation, and enterprise search integration.
• Strong collaboration and communication skills to work with cross-functional teams.

Why Work Here?

Enjoy the flexibility of a hybrid work environment with 1-3 days per week in London, along with opportunities to travel to India once a month. Experience a dynamic and collaborative workplace that values innovation and professional growth.

Work Environment

The role offers a hybrid work model with 1-3 days per week in London. It involves travel to India once per month. The workplace fosters a dynamic environment, utilising cutting-edge technologies and frameworks such as AWS, GCP, Azure, Git, Docker, Kubernetes, and CI/CD for ML workflows. The position requires a professional dress code conducive to business interactions.