We are hiring a senior AI Architect to lead the design and governance of enterprise-grade AI ecosystems across hybrid and multi-cloud environments. This is not a research role and not a prompt-engineering position. We’re looking for someone who can architect real, production-scale AI systems - interoperable, secure, observable and economically viable. You will shape large-scale Agentic AI capabilities, define architectural standards, and advise executive stakeholders on AI transformation strategy. You’ll operate at the intersection of cloud architecture, LLM systems engineering, governance, and enterprise integration. If you’re comfortable discussing multi-agent orchestration patterns in one meeting and AI risk governance with a CIO in the next, this role is for you.

DUTIES AND RESPONSIBILITIES

• Define and govern enterprise reference architectures for multi-agent AI systems (hierarchical, peer-to-peer, sequential orchestration patterns)

• Architect interoperable AI platforms combining frontier models, SLMs, and edge inference capabilities

• Design advanced memory architectures including session memory, vector-based long-term memory, knowledge graphs, and audit/episodic tracking

• Build and standardize scalable RAG and Cache-Augmented Generation architectures with strong observability and evaluation frameworks

• Establish multi-cloud integration strategies across Azure, AWS, and GCP while managing scalability and vendor lock-in risks

• Define GenAIOps standards including CI/CD pipelines, infrastructure as code, monitoring, and cost/performance optimization

• Architect enterprise-grade AI governance frameworks covering prompt security, PII handling, bias mitigation, and human-in-the-loop controls

• Design secure integration patterns connecting AI systems with enterprise platforms, identity providers, collaboration tools, and cloud-native infrastructure

• Advise executive stakeholders on AI roadmaps, operating models, and governance strategy

• Mentor architecture and engineering teams, raising enterprise AI maturity

• Contribute to thought leadership through publications, conferences, and community engagement

REQUIREMENTS

• 8-10+ years in senior technical leadership roles with strong foundations in software engineering and enterprise cloud architecture

• Deep architectural expertise in at least one major cloud platform (Azure, AWS, or GCP) and working knowledge of multi-cloud environments

• Proven experience designing and deploying production-grade GenAI / LLM-based enterprise solutions

• Strong hands-on experience building complex RAG pipelines and orchestration frameworks

• Experience designing or prototyping advanced multi-agent systems

• Practical exposure to LLM fine-tuning, instruction tuning, or model optimization strategies

• Experience implementing GenAIOps practices including monitoring, cost control, latency optimization, and hallucination mitigation

• Strong knowledge of AI governance frameworks and enterprise compliance standards

• Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar

• Proven ability to advise C-level stakeholders on AI strategy and transformation

• Professional cloud certifications (Azure, AWS, or GCP Architect level preferred)

• Public thought leadership (publications, speaking, patents, OSS contributions) is a strong advantage

BENEFITS

• Enterprise-scale AI transformation exposure across complex hybrid environments

• Direct influence on executive AI strategy and long-term architecture decisions

• Opportunity to define standards, not just implement them

• High visibility role interacting with senior stakeholders

• Performance-based bonus structure

• Full-time permanent position in London

• Access to global AI initiatives and innovation programs

How to Apply

We encourage applications from all qualified individuals, regardless of background, identity, or experience. Submit your CV highlighting your achievements. Optional cover letters are welcomed to share more about your ambition and commitment to client success.

Diversity & Inclusion Statement

Our company is committed to fostering a workplace where everyone can thrive, contribute, and shape the future of AI solutions. Join our journey to empower businesses with trustworthy, cutting-edge technology.