Rodeo
Get started

Barclays

AI Platform Lead (Director)

London
Posted 1 day ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Director Expectations

  • Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
  • Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
  • Escalates breaches of policies / procedure appropriately.
  • Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
  • Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
  • Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
  • Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
  • Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
  • Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
  • Negotiate with and influence stakeholders at a senior level both internally and externally.
  • Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
  • Mandated as a spokesperson for the function and business division.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Key Responsibilities

  • Lead the design and evolution of a global AI/ML platform supporting high scale, secure, and cost-efficient workloads across cloud and on prem environments for Markets, Banking, Research, and Operations use cases
  • Deliver hands on engineering solutions using Python and cloud native technologies to build reliable AI and machine learning infrastructure
  • Own end to end platform delivery including development, production support, monitoring, and incident management
  • Drive operational excellence with strong focus on reliability, performance, cost optimization, and automation
  • Establish and enforce governance, security, and compliance frameworks for AI and data platforms
  • Partner with business, technology, and risk stakeholders to align platform capabilities with enterprise priorities
  • Shape platform strategy and technical roadmap, evaluating emerging AI, MLOps, and cloud technologies
  • Ensure delivery outcomes by tracking performance metrics, managing risks, and driving adoption of platform capabilities

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Required Skills

  • Strong Python engineering expertise with experience building cloud native platforms
  • Deep experience with AWS services and modern distributed systems architecture
  • Proven track record building and scaling AI platforms in production environments
  • Hands on knowledge of model lifecycle, deployment, monitoring, and governance practices
  • Strong understanding of security, compliance, and risk management in enterprise environments
  • Ability to lead technical teams and communicate effectively with both technical and senior stakeholders
  • Ability to lead execution using Agentic Software Engineering tools

Preferred Experience

  • Experience with AWS and Bedrock
  • Experience with Kubernetes, CI or CD, infrastructure as code, and automation tools
  • Familiarity with AI or ML platforms such as Databricks, SageMaker, or MLflow
  • Exposure to hybrid cloud architectures and large scale data processing ecosystems
  • Knowledge of enterprise data platforms, observability, and cost management tooling

Leadership Expectations

  • Set technical direction and influence enterprise wide platform strategy and adoption
  • Lead high performing engineering teams and foster a culture of innovation and excellence
  • Drive accountability for delivery outcomes, performance metrics, and continuous improvement
  • Act as a trusted advisor to senior stakeholders on AI platform strategy and execution
Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Python
AWS
AI Platform Design
MLOps
Distributed Systems Architecture
Kubernetes
CI/CD
Infrastructure as Code
Model Lifecycle Management
Security and Compliance
Stakeholder Management
Technical Leadership
Agentic Software Engineering
Cloud Native Technologies
Data Processing Ecosystems
Cost Optimization

Location

London, England, United Kingdom

Sign up to applySee more jobs like this