Senior AI Engineer

Quantum; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Private Health Care (Bupa)

Hybrid Working (3 days in office)

Travel Insurance

Competitive Base Salary

Company Bonus Scheme

Paid for AI Subscriptions

Market-Leading Training Programme

Recognition & Reward Scheme

Annual Company Conference

Team Lunches & Happy Hours

Free Coffee, Drinks & Snacks

Job summary

Quantum is seeking an experienced Senior AI Engineer to design, develop, and deploy AI systems powering personalised advertising, customer journey analytics, and real-time bidding strategies.

You will collaborate with BI, data engineers, and product teams on scalable AI solutions, using Google Cloud Platform (GCP). Our role focuses on practical, measurable business outcomes for leading brands in digital marketing.

Qualifications

• Experience building multi-agent or single-agent architectures for ad tech or martech.
• Strong knowledge of generative AI techniques and prompt engineering.
• Ability to translate business goals into concrete agent personas and tool definitions.
• Good understanding of data privacy and compliance in marketing tech.

Responsibilities

• Architecture & Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation.
• Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI.
• Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries.
• Performance & Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability.
• Security & Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA.
• Mentorship & Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.

Skills

Multi-Agent Systems

Generative AI

LangGraph

AutoGen

Team collaboration

Tools

GCP (Google Cloud Platform)

Vertex AI

BigQuery ML

Dataflow

Airflow

Kubernetes

Job description

Our Company

At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.

The Role

We're looking for an experienced Senior AI Engineer to join our team.

You’ll be at the forefront of designing, developing, and deploying AI systems that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies.

Working closely with BI, data engineers, and product teams, you'll help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting‑edge AI techniques to real-world marketing and advertising challenges.

Key Responsibilities

• Architecture & Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation.
• Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI.
• Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries.
• Performance & Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability.
• Security & Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA.
• Mentorship & Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.

About You

• Experienced in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex and high-scale environments
• Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs
• A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering
• Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc
• Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices
• An understanding of marketing and advertising concepts such as customer lifetime value, attribution modelling, real-time bidding, and audience targeting is a plus
• Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is a plus
• You do your best work as part of a team and enjoy sharing knowledge just as much as gaining it
• Confident navigating ambiguity and a fast moving environment
• Excellent written and verbal communication skills
• Collaborative and grounded, you value the perspectives of others and create space for everyone to contribute

What You’ll Get

• Private Health Care (Bupa)
• Hybrid Working (3 days in office)
• Travel Insurance
• Competitive Base Salary
• Company Bonus Scheme
• Paid for AI Subscription (Claude / ChatGPT / Gemini)
• Market-Leading Training Programme
• Recognition & Reward Scheme
• Annual Company Conference
• Regular Happy Hours & Team Lunches
• Free Coffee, Drinks & Snacks