AI Architect

David Kennedy Recruitment is working with a leading tech outsourcing company that is looking to recruit an AI Architect to join their team.

Position: AI Architect

Location: London, UK

Employment type: Full-time

Remuneration: Base salary + bonus

POSITION OVERVIEW
As an AI Architect, you will lead the strategy, architecture, and delivery of interoperable, compliant, and cost-effective AI solutions across hybrid environments. You will design modern AI architectures combining frontier models, small language models, and edge inference to enable scalable Agentic AI capabilities.
Working closely with senior technology and business leaders, you will act as both a technical authority and trusted advisor, shaping enterprise AI strategy, defining best practices, and driving complex AI transformation initiatives that support the future hybrid workforce.

DUTIES AND RESPONSIBILITIES:

• Define and govern reference architectures for multi-agent systems, including hierarchical, peer-to-peer, and sequential orchestration models, guiding teams on architecture pattern selection

• Architect integrated memory systems covering session memory, long-term knowledge using vector databases and knowledge graphs, and audit or episodic memory strategies

• Design end-to-end Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation architectures, ensuring strong standards for evaluation, observability, lineage, and performance optimization

• Establish cross-cloud and vendor integration frameworks, advising on platform selection while balancing interoperability, scalability, and vendor lock-in considerations

• Define GenAIOps architectural standards including CI/CD, infrastructure as code, monitoring, and performance metrics such as latency, cost, hallucination risk, and token consumption

• Architect enterprise AI safety, security, and governance guardrails, including prompt security, PII protection, bias mitigation, and human-in-the-loop workflows aligned with industry frameworks

• Design scalable integration patterns connecting agentic AI systems with enterprise platforms, identity services, collaboration tools, and cloud-native infrastructure

• Provide senior technical leadership and strategic advisory to executive stakeholders, facilitating workshops, shaping AI roadmaps, and mentoring engineering and architecture teams

• Contribute to industry thought leadership through conference presentations, publications, and active participation in the AI community.

REQUIREMENTS:

• 8–10+ years of experience in 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) with working knowledge of additional cloud ecosystems

• Proven experience designing and delivering GenAI and LLM-based solutions using enterprise AI platforms

• Demonstrated expertise building complex RAG pipelines and orchestration architectures

• Hands-on experience with LLM instruction tuning or model fine-tuning approaches

• Strong stakeholder engagement skills with experience advising senior leadership and C-level executives on technology strategy and governance

• Experience designing or prototyping advanced multi-agent systems and collaborative AI architectures

• Multi-cloud architectural expertise across Azure, AWS, and GCP environments

• Practical experience with GenAIOps tooling, AI governance frameworks, and AI FinOps or model routing strategies

• Development experience with orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel

• Demonstrated thought leadership through publications, conference speaking, patents, or open-source contributions

• Professional cloud certifications such as Azure Solutions Architect Expert, AWS Solutions Architect Professional, or GCP Professional Cloud Architect.

BENEFITS:

• Opportunity to shape enterprise-scale AI transformation programs at the forefront of Agentic AI innovation.

• Exposure to senior executive stakeholders and high-impact global AI initiatives.

• Collaborative environment focused on innovation, technical excellence, and continuous learning.

• Career growth through leadership opportunities, industry visibility, and thought leadership engagement.

• Competitive compensation package aligned with senior-level expertise and impact.