AVP - AI Platform Engineer

Join to apply for the AVP - AI Platform Engineer role at Barclays We’re excited to launch a groundbreaking initiative at Barclays – building a next‑generation platform that empowers front‑office developers (Quants and Strats) to create high‑performance, AI‑driven applications. As an AVP AI Platform Engineer, you’ll design, build, and scale robust platform components that enable advanced AI/ML workloads across on‑premises and cloud environments. Purpose of the role To design, develop, and improve software, utilising engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high‑quality software solutions using industry‑aligned programming languages, frameworks, and tools. Ensure 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. Collaborate 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. 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. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. If the has leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard (Listeners, Energizers, Aligners, Developers). Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Engage in complex analysis of data from multiple sources of information, internal and external, to solve problems creatively and effectively. Communicate complex information to diverse audiences and influence stakeholders to achieve outcomes. Qualifications Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non‑technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some Other Highly Valued Skills May Include Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on‑prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine‑tuning and deployment for enterprise use cases. Hands‑on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open‑source MLOps, and cloud‑native AI solutions. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology #J-18808-Ljbffr