AI Architect

Vallum Associates; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

Vallum Associates is seeking an AI Architect in London to design agentic AI systems and orchestrate multi-agent architectures. You will define enterprise reference architectures integrating LLMs with core banking and CRM platforms, selecting frameworks and building hands-on with orchestrators.

Applicants should have extensive experience with LLMs, prompt engineering, memory management, and AI quality metrics, plus cloud exposure, preferably Google Cloud Platform.

Qualifications

• Design agentic AI architectures with multi-agent orchestration patterns.
• Define reference architectures for enterprise agent platforms integrating LLMs with core systems.
• Select and standardize frameworks (LangGraph, Google ADK, MCP, A2A patterns).
• Hands-on expertise with agentic frameworks/orchestrators.
• Experience with LLMs, prompt engineering, tool/function calling, memory management.
• Familiarity with AI quality metrics: task success rate, groundedness, containment.

Responsibilities

• Design and implement agentic AI architectures for enterprise use.
• Define reference architectures integrating LLMs with core banking/CRM/risk systems.
• Evaluate and standardize AI frameworks and tooling.
• Hands-on development with orchestrator-based agent frameworks.
• Ensure memory management and prompt/guardrail engineering.

Skills

Agentic architectures

LLM frameworks

Prompt engineering

Google Cloud Platform

Memory management

RAG patterns

Tools

LangGraph

Google ADK

MCP

A2A patterns

Job description

Role: AI Architect

Location: London, UK

(Exp Range 12+)

Type of work: Contract

Mode of work: Hybrid 2 days Onsite in week

JD:

Essential skills/knowledge/experience:

• Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).
• Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).
• Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns).
• Hands‑on expertise with agentic frameworks (orchestrators).
• Experience with LLMs, prompt engineering, tool/function calling, memory management.
• Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.
• Experience on Google Cloud Platform (preferred) or equivalent hyperscale.
• Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.

Desirable skills/knowledge/experience:

• Build Production Grade Agentic AI applications and necessarily have navigated through security, governance and performance management of the end to end model.
• Hands‑on expertise on MLOps / AgentOps, CI/CD, and observability.
• Strong understanding of regulated financial services environments.
• Proven experience implementing AI risk controls, model governance, and auditability.
• Ensure alignment with FCA, PRA, data privacy, model risk management, and LBG internal policies.
• Knowledge of banking processes: retail banking, lending, payments, compliance.
• Strong experience designing end‑to‑end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring.
• Hands‑on expertise with cloud AI platforms (GCP).
• Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability.
• Experience architecting scalable real‑time, batch, and streaming inference systems with clear performance and reliability requirements.
• Familiarity with secure cloud patterns, IAM, VPC design, and data protection