AI Architect
Location: London, UK (Hybrid)
Experience: 7+ Years
Employment Type: Contract
Opportunity – AI Architect / AI Solutions Architect
* As AI Architect you will define the architectural blueprint and technology foundations for AI-driven solutions that transform how customers in dynamic, data-intensive industries operate, scale, and innovate.
* You will design robust, future-ready AI architectures that enable automation, advanced analytics, and intelligent decision-making across complex digital transformation programmes.
* Access to cutting-edge AI frameworks, high-performance computing environments, and modern data platforms, you will guide engineering and data science teams in building secure, scalable, and ethical AI systems. This role empowers you to shape end-to-end AI ecosystems—accelerating delivery, enhancing customer experience, strengthening operational resilience, and driving their journey toward a more intelligent, AI-enabled future.
Essential Skills & Experience – AI Architect / AI Solutions Architect
* Experience as AI Architect, Machine Learning Architect, AI Solutions Architect, ML Architect or similar
* 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).
* Design audit-ready agent interactions, tool usage logs, and decision provenance.
* 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.
* API-first integration, event-driven architectures, and data pipelines.
* Experience on Google Cloud Platform (preferred) or equivalent hyperscale.
* Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.
Responsibilities – AI Architect / AI Solutions Architect
* Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments.
* Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops.
* Establish integration patterns (APIs, events, microservices) to embed model-powered capabilities into existing platforms with clear service boundaries.
* Define enterprise-wide AI architecture guidelines, reusable components, and long-term roadmap to ensure consistency and acceleration of AI initiatives.
* Implement MLOps/LLMOps pipelines for versioning, CI/CD, approvals, and controlled promotion across environments; enforce reproducibility.
* Work closely with product owners, data scientists, engineers, security teams, and business stakeholders to ensure architecture translates into high-value solutions.
* Enforce IAM least-privilege with IAM Conditions, organisation policies, and scoped service accounts; integrate BeyondCorp for zero-trust access.
* Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts.
* Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals
* Architect APIs, microservices, and integration patterns that embed AI capabilities seamlessly into existing workflows and digital products