Director - Technology

Job Description

Role Overview 

Seeking an accomplished AI & GenAI Architecture Leader with deep expertise in Artificial Intelligence, Generative AI, Agentic AI, Full-Stack Engineering, and Enterprise Architecture. The ideal candidate will have a proven track record of conceptualizing, designing, prototyping, and scaling AI-powered solutions from PoC and experimentation phases through enterprise production deployment.

This is not a purely managerial role. The Director codes on complex problems, conducts code reviews, and participates actively in technical design sessions. Solution decisions are made here, defining agent behavior, data requirements, integration points, and expected outputs. This role is also the primary technical counterpart

Key Responsibilities 

• Elect and evaluate AI frameworks, LLM providers, and tooling in alignment with compliance-approved technologies.
• Define and maintain the technical solution framework for AI agent solutions, including agent frameworks, orchestration patterns, and integration standards.
• Establish coding standards, testing practices, and deployment patterns for the AI engineering team.
• Ensure solution decisions account for maintainability, scalability, and interoperability with the SimCorp Platform team's agent communication layer.
• Translate prioritised use cases into technical solution designs, defining agent behaviour, data requirements, integration points, and expected outputs.
• Assess technical feasibility and complexity of incoming use cases in collaboration with the AI Delivery & Governance Lead.
• Design agent solutions that leverage cross-client data and operational intelligence patterns.
• Conduct code reviews and provide technical guidance to Senior AI Engineers and AI Engineers.
• Mentor the engineering team on agent design patterns, prompt engineering best practices, and production deployment.
• Represent the SMBS AI team in technical discussions with the Platform team, contributing to and consuming shared orchestration standards.
• Code on complex agent implementations, particularly during initial solution setup and technically challenging use cases.
• Build proof-of-concept implementations to validate solution decisions before full engineering commitment.
• Contribute to production code on critical paths while maintaining oversight of the broader technical portfolio.
• What We Value
• Deep practical experience with LLM-based agent frameworks.
• 7+ years of experience in production AI/ML engineering, with at least 3 years in a technical lead capacity.
• Deep software engineering fundamentals in Python and modern development practices.
• Experience designing RAG pipelines, prompt engineering strategies, and multi-agent orchestration patterns.
• Demonstrated experience building and leading high-performing engineering teams, with the ability to develop talent and maintain technical standards across the team.
• You have a bias for delivery — you deliver quickly without compromising on quality, and you know how to get a solution from proof of concept to production.
• Ability to make solution decisions that balance innovation with maintainability and production reliability.
• Experience working in financial services or other regulated industries preferred.
• Effective communication skills to engage with both engineering peers and non-technical stakeholders.

Mandatory Competencies