Job Overview: The AI Engineering Lead will lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high‑quality software solutions. The role drives technical excellence, fosters a culture of innovation, and collaborates with cross‑functional teams to align technical decisions with business objectives.
Key Responsibilities
* Lead engineering teams effectively, fostering a collaborative and high‑performance culture to achieve project goals and meet organizational objectives.
* Oversee timelines, team allocation, risk management and task prioritization to ensure successful delivery of solutions within scope, time, and budget.
* Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
* Evaluate and enhance engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
* Collaborate with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
* Enforce technology standards, facilitate peer reviews, and implement robust testing practices to ensure high‑quality delivery.
Vice President Expectations
* Contribute or set strategy, drive requirements and make recommendations for change.
* Plan resources, budgets and policies; manage and maintain policies/processes; deliver continuous improvements and address policy breaches.
* If managing a team, define jobs and responsibilities, plan for department future needs, counsel employees on performance, and contribute to pay decisions.
* Lead specialists to influence the operations of a department, balancing short and long term goals while ensuring budgets and schedules meet corporate requirements.
Leadership Behaviours
People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment where colleagues thrive. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
Desired Qualifications
* Proven experience working across security, governance, architecture and business stakeholders, navigating complex enterprise environments.
* Experience deploying and managing applications on AWS, including Amazon Bedrock, Lambda, API Gateway and related services for scalable AI solutions.
* Knowledge of ML model deployment pipelines, monitoring, versioning and automated testing frameworks for AI applications.
* Experience designing and building RESTful or GraphQL APIs and scalable, event‑driven architectures for AI‑powered services.
* Proven ability to design, test and optimise prompts for Anthropic models, implementing Retrieval‑Augmented Generation patterns and managing model interactions.
Preferred Technical Skills
* Experience with vector stores (Pinecone, Weaviate, or AWS OpenSearch) and semantic search implementations for context‑aware AI applications.
* Strong background in risk and controls, change and transformation, business acumen, strategic thinking and digital technology capabilities.
Location
This role will be based in Glasgow.
Core Values
All colleagues must demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and the Barclays Mindset of Empower, Challenge, and Drive.
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