At GBST, we're focused on embedding AI across our products, technology operations and business processes. We're looking for a Principal AI Engineer to provide technical leadership and help shape how AI is designed, governed and scaled across the organisation. This is a newly created, strategic, hands-on leadership role where you'll drive the creation of reusable AI capabilities while establishing the standards, frameworks and guardrails that enable responsible AI adoption.
What you'll be doingDrive AI capability across Technology Operations
Working closely with Technology Operations, Architecture and Engineering teams, you'll ensure AI solutions align with GBST's technology strategy and enterprise architecture principles. You'll lead the development of reusable AI assets that accelerate delivery and improve engineering productivity across GBST, including:
AI Agents, Custom Agents, Skills and MCP-enabled solutions
RAG architectures, Knowledge Bases and Prompt Libraries
Shared frameworks, patterns and AI accelerators
Standards that promote reuse and consistency across teams
Establish Responsible AI standards and governance
You'll define the technical frameworks, standards and guardrails that ensure AI solutions are secure, scalable and fit for enterprise adoption. This includes leading the development of:
Responsible AI principles and engineering standards
AI architecture patterns and governance frameworks
Security, observability and auditability controls
AI-enabled SDLC and specification-driven development practices
Risk, compliance and privacy-aligned AI solutions
Evaluate emerging AI technologies, conduct technical assessments and help shape GBST's enterprise AI strategy.
We're seeking a highly credible technical leader with deep software engineering experience and a passion for building enterprise-scale AI capability. You'll likely bring:
Extensive software engineering and solution architecture experience within complex enterprise environments.
Strong experience designing and delivering AI, Generative AI and Agentic AI solutions.
Experience building reusable AI capabilities including Agents, Skills, Knowledge Bases, RAG solutions and AI accelerators.
A strong understanding of enterprise architecture, integration patterns and modern software engineering practices.
Experience defining engineering standards, frameworks and governance models.
Deep knowledge of Responsible AI, AI security, observability, risk management and governance controls.
Proven ability to influence senior technology stakeholders and drive adoption of engineering standards across multiple teams.
Experience working with modern AI ecosystems, LLM platforms, agent frameworks and emerging AI technologies.
Skills Required
- Extensive software engineering and solution architecture experience in complex enterprise environments
- Experience designing and delivering AI, generative AI, and agentic AI solutions
- Experience building reusable AI capabilities, including agents, skills, knowledge bases, RAG solutions, and AI accelerators
- Strong understanding of enterprise architecture, integration patterns, and modern software engineering practices
- Experience defining engineering standards, frameworks, and governance models
- Deep knowledge of responsible AI, AI security, observability, risk management, and governance controls
- Proven ability to influence senior technology stakeholders and drive adoption of engineering standards across multiple teams
- Experience with modern AI ecosystems, LLM platforms, agent frameworks, and emerging AI technologies
What We Do
GBST delivers technology and digital solutions to enable, support, and scale wealth management and advice organisations globally. The company creates vital back, middle, and front-office solutions for wealth managers, life and pension companies, stockbrokers, and fund managers, supporting over 5.5 million investor accounts worldwide through its leading-edge technology stack.
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