Lead Agentic AI Architect

HelloKindred; England; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

HelloKindred is partnering with a major enterprise to appoint a Lead Agentic AI Architect who will shape the strategic and technical direction for enterprise-scale AI platforms. You will design and own the architecture for AI assistants, copilots, and autonomous workflows, driving multi-agent systems, RAG, and governance in regulated environments.

We seek a senior leader with 15+ years of software engineering and 8+ years in AI platforms, plus hands-on cloud and multi-cloud experience.

Qualifications

• 15+ years of software engineering, architecture, and platform leadership.
• 8+ years delivering AI/ML platforms in production environments.
• Proven experience architecting Agentic AI, LLM, and Generative AI at scale.
• Strong background in Financial Services, Banking, Insurance, Healthcare, or regulated industries.
• Experience leading large engineering teams and complex transformation programmes.
• Track record delivering enterprise AI platforms from strategy through implementation and operationalisation.
• Expertise in Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks.
• Hands-on with LangChain, LangGraph, Semantic Kernel, AutoGen; cloud platforms and hybrid/multi-cloud architectures.

Responsibilities

• Define and own the enterprise architecture for Agentic AI platforms, AI assistants, copilots, and autonomous workflows.
• Design and implement multi-agent systems leveraging reasoning, planning, memory, orchestration, and tool integration.
• Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems.
• Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and Responsible AI.
• Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms.
• Drive enterprise adoption of AI while ensuring scalability, security, compliance, and commercial viability.
• Provide technical leadership to architects, engineers, data scientists, and senior business stakeholders.
• Partner with executive leadership to define AI strategy, roadmaps, investment priorities, and innovation opportunities.

Skills

Enterprise AI architecture

Agentic AI

LLMs

RAG architectures

AI governance

Cloud platforms

Multi-agent systems

Python

Java/Scala/TypeScript

SQL

Kubernetes

Docker

Terraform / IaC

CI/CD tooling

GitHub Actions / GitLab / Jenkins

LangChain / LangGraph

Azure/AWS/Google Cloud AI tools

MLOps

Education

Master's degree in CS/AI/Data Science

Tools

Azure OpenAI / Foundry

AWS Bedrock / SageMaker

Google Vertex AI

LangChain / LangSmith

Semantic Kernel / AutoGen

Job description

Who is HelloKindred?

HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.

Our vision is to make work accessible and people’s lives better.We do this by disrupting traditional employment barriers –connecting ambitious talent to flexible opportunities with trusted brands.

Anticipated Contract End Date/Length:October 19th, 2026 - March 31st, 2027
Work Set-Up:Hybrid (3 days per week in office)

Our client in the Information Technology and Services industry is looking for a Lead Agentic AI Architect to lead the design, architecture, and delivery of enterprise-scale Agentic AI and Generative AI solutions. The successful candidate will define AI architecture standards, drive innovation, and build intelligent autonomous systems that deliver measurable business outcomes across complex and regulated environments. This is a strategic and hands-on leadership role requiring deep expertise in LLMs, Agentic AI, RAG architectures, AI governance, cloud platforms, and large-scale engineering delivery.

What you will do:

• Define and own the enterprise architecture for Agentic AI platforms, AI assistants, copilots, and autonomous workflows.
• Design and implement multi-agent systems leveraging reasoning, planning, memory, orchestration, and tool integration.
• Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems.
• Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI.
• Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms.
• Drive enterprise adoption of AI while ensuring scalability, security, compliance, and commercial viability.
• Provide technical leadership to architects, engineers, data scientists, and senior business stakeholders.
• Partner with executive leadership to define AI strategy, roadmaps, investment priorities, and innovation opportunities.

• Bring 15+ years of software engineering, architecture, and platform leadership experience.
• Demonstrate 8+ years delivering AI/ML platforms in production environments.
• Proven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale.
• Strong background in Financial Services, Banking, Insurance, Healthcare, or other regulated industries.
• Demonstrated experience leading large engineering teams and complex transformation programmes.
• Show a track record of delivering enterprise AI platforms from strategy through implementation and operationalisation.
• Demonstrate expertise in Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks.
• Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen.
• Hands-on experience with Azure AI Foundry / Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi-cloud architectures.
• Strong programming experience with Python, Java, Scala, TypeScript, and SQL.
• Experience with Kubernetes, Docker, Terraform, Bicep, CI/CD, and Infrastructure as Code.
• Proficiency with GitHub Actions, GitLab, and Jenkins.
• Knowledge of LLMOps and MLOps, model governance, AI security and guardrails, LangSmith, Arize, and monitoring and evaluation frameworks.
• Master's degree in Computer Science, AI, Data Science, or related discipline preferred.
• AWS Solutions Architect Professional certification preferred.
• Microsoft Azure AI Engineer certification preferred.
• Google Professional ML Engineer certification preferred.
• Executive AI qualifications from leading institutions preferred.
• Combine deep technical expertise with strong business acumen and the ability to architect enterprise-scale Agentic AI platforms, influence executive stakeholders, and deliver secure, scalable, production-ready AI solutions within highly regulated environments.

Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.

HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.

HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.