Lead Agentic AI Architect

HelloKindred; Birmingham; On-site; GBP 160,000 - 220,000; Full time

Job summary

HelloKindred in the United Kingdom is seeking a Lead Agentic AI Architect to define enterprise AI architecture for autonomous workflows and GenAI platforms. You will guide design decisions, governance, and delivery across regulated environments, partnering with executives to align AI strategy with business goals.

The role requires hands-on leadership, deep experience with LLMs, RAG, and cloud AI platforms, and the ability to deliver scalable, secure AI solutions in complex settings.

Qualifications

• 15+ years of software engineering and leadership experience.
• 8+ years delivering AI/ML platforms in production.
• Proven track record with Agentic AI, LLMs, and GenAI at scale.
• Strong background in regulated industries such as finance or healthcare.
• Experience leading large engineering teams and transformations.
• Expertise in multi-agent systems, RAG, and AI governance.
• Hands-on with Azure/AWS/GCP AI stacks and cloud platforms.
• Proficient in Python, Java, TypeScript, and SQL.
• Familiarity with CI/CD, IaC, Kubernetes, and security guardrails.

Responsibilities

• Define and own the enterprise architecture for Agentic AI platforms and autonomous workflows.
• Design multi-agent systems with reasoning, planning, memory, and tool integration.
• Architect GenAI solutions including RAG, intelligent search, and knowledge assistants.
• Establish AI engineering standards: LLMOps, MLOps, governance, observability and security.
• Lead technology selection across LLMs, orchestration, vector stores and cloud platforms.
• Drive scalable, compliant enterprise AI adoption with business value.
• Provide technical leadership to architects, engineers, data scientists and stakeholders.
• Partner with executives to shape AI strategy, roadmaps and investments.

Skills

Agentic AI Architecture

LLM & Generative AI

Multi-Agent Systems

Azure AI Foundry / OpenAI

AWS Bedrock / SageMaker

Kubernetes / Docker

Python / Java / TypeScript

Goverance in regulated environments

Education

Master's degree in Computer Science / AI / Data Science

AWS Solutions Architect Professional

Google Professional ML Engineer

Executive AI qualifications from leading institutions

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Job description

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.

Job Description

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.

Qualifications

• 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.
• 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.

Additional Information

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.

We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.

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.