Senior ai architect Work, Jobs in Lambeth, Gtl (with Salaries)

Agentic AI Platform Engineer
On AG —London
- Master's degree
- IT
- AI
8d
Global Learning Experience Design Senior Manager – AI-powered Upskilling Campaigns
Boston Consulting Group —London
- Full-time
- English
- Master's degree
- Project management
2d
AI Solutions Architect - London | BCG Platinion
Boston Consulting Group —London
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- Military
- Engineering
Senior Partner Solutions Architect, End User Computing, EMEA, Applied AI Solutions Partner GTM
AWS EMEA SARL (UK Branch) —London
- Full-time
- AWS
- Computer networking
- IT
- Flexible schedule
Senior Solutions Architect, Solutions Architecture, UK
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- Engineering
- AWS
Enterprise AI Architect
T. Rowe Price —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Senior Solution Architect - EMEA North
Camunda Careers —London
- £144,900 - £429,900 a year
- Full-time
- Remote
- Azure
- Sales
- Java
Applied AI Security Architect
Anthropic —London
- £190,000 - £230,000 a year
- Hybrid work
- Azure
- English
- AWS
- Flexible schedule
Senior AI Architect| London
Infosys —London
- Azure
- Master's degree
- AWS
Senior Enterprise Architect (AI Focused)
MRI Software —London
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
- Annual leave
Lead AI Tech Architect – Enterprise Solutions (ERP Transformation) - London | BCG Platinion
Boston Consulting Group —London
- Full-time
- Sales
- Master's degree
- Bachelor's degree
Global AI Transformation GTM Senior Director - Partnerships
Boston Consulting Group —London
- Full-time
- Master's degree
- Bachelor's degree
- AI
AI Architect / Engineer (Agentic AI & LLM Architecture)
Talan —London
- Full-time
- Hybrid work
- Master's degree
- Travel
- APIs
- Employee assistance programme
Quick apply
Senior Manager, Responsible AI Solution Architect
Pwc UK —London
- Full-time
- Hybrid work
- Azure
- AWS
- APIs
Senior Solutions Architect - AI and Core Networks
Capgemini Sogeti —London
- Hybrid work
- Master's degree
- Travel
- Computer networking
Senior Architect AI
Liberty Global —London
- Full-time
- Azure
- Computer Science
- DevOps
1d
Senior Solutions Architect
Government Digital Service —London
- £57,350 - £79,120 a year
- Full-time
- Hybrid work
- English
- Presentation skills
- Annual leave
- Employee assistance programme
12d
Global IT Enterprise Architect Senior Manager - GenAI
Boston Consulting Group —London
- Full-time
- Microsoft Powerpoint
- APIs
- AI
AI Solution Architect/ Engineer - Senior Manager
Pwc UK —London
- Full-time
- Hybrid work
- Azure
- Sales
- AWS

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senior ai architect jobs near lambeth, gtl

Agentic AI Platform Engineer

On AG -
London

Apply Now

Job details

8 days ago

Qualifications

Law
MCP
Google Cloud Platform
Master's degree
IT
AI
Graph databases

Full job description

Location: London

Technology

In short

We are looking for an AI Platform Engineer to join the newly established AI and ML Platform team at On.

As one of the fastest-growing global sports brands, investing in autonomous intelligence is critical to On’s strategy and our Company goals for 2026 and beyond.

While our existing squad has built a strong MLOps foundation, we need to inject additional deep, production-grade agentic expertise in the team. In this role, you will partner with your peers to mature the scalability, observability, and governance of our AI platform—ultimately shaping the blueprint for how a global brand leverages AI at scale.

Your Mission

As an AI Platform Engineer, you will play a key role in shaping the technical direction, delivery standards, and architectural quality for agentic solutions within the AI & ML platform space. Your core goals include:

Build & Operate Agentic Infrastructure: Architect, scale, and maintain highly reliable, secure, and observable core platform components (e.g., evaluation frameworks, routing, gateways) for both internal and customer-facing autonomous use cases.
Empower Applied Solutions: Act as a trusted partner to business and product teams, providing the tooling and architectural guidance they need to accelerate their adoption of high-impact agentic workflows.
Contribute to AI & ML Convergence: Bring a deep curiosity for how LLMOps and traditional MLOps intersect, collaborating with peers to explore and test the strategy for a unified, hybrid AI/ML ecosystem.
Navigate Ambiguity & Champion Standards: Thrive in a fast-paced environment to turn ambiguous requirements into scalable features. You will establish engineering best practices, evaluate cutting-edge tooling, and foster technical consensus across the org.

Your story

You are an expert engineer who pairs deep infrastructure experience with a proven track record in the emerging AgentOps space. You know what "good" looks like in traditional platform engineering, and you have successfully translated that rigor into scaling Agentic AI safely.

Core Engineering & Production AI Experience: You have a strong background in backend, platform, or data engineering, with a strong preference for candidates who bring prior experience in MLOps or ML Platform engineering.
For a Mid-Level role: You have 3+ years of overall software engineering experience, with at least 1 year of demonstrable experience building and maintaining production-grade components for Agentic AI / LLM systems.
For a Senior-Level role: You have 5+ years of overall software engineering experience, with a proven track record of architecting, building, and leading major components of a production agentic infrastructure, far beyond the prototype phase.
Deep Agentic & Cloud Stack Expertise: You are fluent in modern agentic frameworks, cognitive architectures, and cloud ecosystems (GCP preferred). You know how to architect and interface with core platform components (vector/graph databases, semantic caches, and LLM orchestration gateways) and integrate external systems and tools via modern standards like the Model Context Protocol (MCP).
Observability & Evaluations: You have experience implementing robust evaluation and observability frameworks (such as LangSmith, LangFuse, etc.) to monitor agent performance, quality, and cost.
Governance & Velocity: You have a mature, critical perspective on balancing delivery speed with safety, ensuring reliable and secure agent behavior in production without stifling innovation. Collaborative Mindset: You thrive on ambiguous, zero-to-one infrastructure challenges. You are an exceptional, low-ego communicator (both written and verbal) who excels at building consensus, establishing deep partnerships, and earning trust with both technical peers and non-technical stakeholders.

About the Team

The AI & ML Platform team is a newly established pillar within our Data and AI Org, tasked with driving the scale, efficiency, and global velocity of both traditional Machine Learning and next-generation Agentic AI across On.

We focus on architecting and operating production-grade infrastructure—from robust LLM gateways and evaluation frameworks to scalable ML pipelines. Beyond building the core engine, we act as trusted partners to teams looking to adopt Agentic AI solutions, providing the guidance, tooling, and best practices they need to implement their use cases successfully.

Our mission is to empower product teams and define a unified AI/ML ecosystem that scales with On’s global momentum.

London

Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason.

12 Fleur De Lis Street,
E1 6DB
United Kingdom

Location

What we offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.

Step One

It starts with you...

You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

Step Two

Interview with a recruiter

What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

Step Three

Interview with a hiring manager

Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

Step Four

The Case Study

What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

Step Five

The Experience Day

Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

Step Six

The Result

Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Apply Now

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Technology

In short

Your Mission

Your story

About the Team

London

What we offer

What to expect

Step One

It starts with you...

Step Two

Interview with a recruiter

Step Three

Interview with a hiring manager

Step Four

The Case Study

Step Five

The Experience Day

Step Six

The Result