Software Systems Engineer - AI

In this role you own the technical delivery of AI solutions, ensuring they are robust, scalable, and production-ready. This role blends hands-on engineering, and architectural oversight. You will mentor engineers and data scientists, set technical standards, and ensure that product requirements are translated into reliable solutions. Beyond delivery, you will help scale AI adoption across the firm by building engineering patterns, reusable services, and blueprints to drive adoption and scale AI across the firm.

• Coordinate and develop within a high-performing AI team, fostering inclusion, learning, and technical excellence.
• Define engineering approaches and architectures for scalable, secure, and maintainable AI solutions.
• Evaluate and adopt tools and frameworks to meet product needs.
• Translate product requirements into technical deliverables and manage planning, resourcing, and execution on Azure.
• Oversee delivery quality, risk, and timelines.
• Conduct architecture and code reviews, resolve complex challenges, and optimize ML pipelines and MLOps workflows.
• Build reusable services and stay updated on ML, GenAI, and infrastructure best practices.
• Define coding standards, CI/CD pipelines, testing protocols, and documentation.
• Ensure compliance with privacy, security, and responsible AI guidelines while promoting operational reliability.
• Develop reusable engineering patterns and blueprints to scale AI adoption.
• Share knowledge through documentation, training, and community-building.

• Bachelor's or Master's in Computer Science, Machine Learning, or related field.
• 3+ years in AI/ML engineering.
• Strong programming in Python and proficiency with ML frameworks (PyTorch, TensorFlow).
• Hands-on expertise in Azure AI/ML services (Azure ML, Azure DevOps, AKS).
• Practical experience with GenAI/LLMs (prompt engineering, RAG basics).
• Proven delivery across the full AI lifecycle: from experimentationto deployment to monitoring.
• Strong communication and stakeholder management skills in cross-functional environments.