Job Description
AI Engineer (VP) – Top Investment Bank Location: Glasgow Hybrid: 3 days per week onsite
About the Role
Join a forward-thinking team that’s transforming how AI and cloud-native platforms support front-office trading. We’re hiring a hands-on engineering leader (VP level) to shape the future of our Dart platform, a core infrastructure enabling Quantitative and Strat developers to build next-generation trading solutions.
This is a high-impact role where you’ll work directly with front-office traders and quants to create bespoke Generative AI tools that influence trading performance. If you’re driven by innovation and excited to build something truly original, this is your opportunity to lead from the front.
What You’ll Do
Lead and innovate across hybrid environments, scaling platform capabilities and accelerating AI adoption:
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Architect and develop advanced platform services for AI-powered trading workflows
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Potentially lead a small team of engineers, fostering technical excellence while remaining hands-on
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Collaborate with infrastructure and platform teams to align capabilities and reduce duplication
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Design secure, scalable, and cost-efficient systems using AWS and Kubernetes
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Mentor junior engineers and establish best practices for AI/ML infrastructure
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Influence cross-functional teams and champion modern engineering approaches
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Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling
Tech Stack
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Programming: Python (Java familiarity is a plus)
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Cloud: AWS (S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more)
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On-Prem: Managed Kubernetes Platform, Hadoop ecosystem
Why This Role Stands Out
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Direct Impact: Build AI tools used daily by traders and quants to optimize strategies
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Creative Freedom: Collaborate openly and bring your ideas to life
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Visibility: Play a key role in a small, high-impact team with broad organizational exposure
What We’re Looking For
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10+ years of experience in software or data engineering, ideally in platform or infrastructure roles
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Strong Python programming skills with a focus on code quality and testing
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Proven experience applying Generative AI in front-office or capital markets environments
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Deep expertise in AWS services including S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, and CloudFormation
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Passion for hands-on engineering and leading small, agile teams
Nice to Have
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Experience with on-prem Hadoop and Kubernetes
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Familiarity with AWS cost optimization tools
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Understanding of front-office developer workflows in financial services