Lead Software Engineer - Platform AI Acceleration
Salary not listed • GLASGOW, LANARKSHIRE, United Kingdom • Full-time
Posted 25d ago
Job Location
GLASGOW, LANARKSHIRE, United Kingdom
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
We are seeking a Lead Software Engineer to join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms. In this role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements. Your deep experience of developing and deploying software to production in enterprise environments will be key to enabling our AI strategy, combining practical expertise with AI/ML knowledge to ensure our systems are secure, compliant and performant.
Responsibilities
- Design and develop modular, maintainable AI systems and interfaces optimized for scalability, resiliency, and long-term operability.
- Partner with Applied AI/ML, Data Science, and Cybersecurity engineers to develop secure AI solutions.
- Create secure and high-quality production code, and review/debug code written by others.
- Evaluate AI solution approaches from an engineering standpoint to improve design, code quality, and operational outcomes.
- Influence peers and decision-makers to adopt leading-edge technologies that create measurable value.
- Drive team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Establish consistent validation standards for secure coding, peer review, and automated testing, promoting reuse of effective patterns.
- Contribute to the engineering community by advocating for firmwide frameworks, tools, and practices for the AI-enabled System Development Life Cycle (SDLC).
- Foster a team culture of opportunity, inclusion, and respect.
Requirements
- Significant hands-on system/software development experience, delivering production services in secure, regulated environments.
- Demonstrated experience leading technical discussions across a team or program.
- Significant experience in at least one modern programming language: Java or Python.
- Experience using AI coding assistants (e.g., GitHub Copilot, Claude Code) for software engineering tasks.
- Solid understanding of building AI solutions using an LLM-backed architecture.
- Strong understanding of API design, microservices, and event-driven architectures.
- Experience building and operating cloud-native services on AWS, including Bedrock.
- Strong DevOps practices: CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code (e.g., Terraform/CloudFormation).
- Strong prompt engineering capability, including system prompts, few-shot prompting, tool/function calling, and structured outputs (e.g., JSON schemas).
- Demonstrated experience driving secure and effective adoption of enterprise-approved AI-assisted engineering tools and setting team expectations for validating AI outputs for correctness, performance, and security.