Developer, AI Engineering

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The AI Engineer is an individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role will execute AI engineering and MLOps/LLMOps, ensuring AI solutions are secure, scalable, auditable, and production ready. You will work with Senior Engineers to build and deploy production grade AI systems end to end.

Is this role right for you? In this role, you will:

Production AI Engineering (Build, Deploy, Run)

• Implement production-grade AI services and pipelines (batch and real-time) with strong focus on reliability, performance, and operational excellence in the cloud
• Execute, manage and support the packaging and deployment of models and solutions as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks
• Own complex problem resolution across environments, including production incidents related to AI systems

Governance-by-Design (Banking & Regulatory Alignment)

• Embed AI governance directly into engineering workflows, including:

- Security and access controls

- Data classification and handling

- Model risk management requirements

- Privacy and consent controls

- Responsible AI principles

- Auditability and regulatory traceability

• Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and external regulatory expectations

Generative AI & Advanced AI Capabilities

• Implementation of Generative AI patterns such as Retrieval-Augmented Generation (RAG), embeddings, semantic search, and agent workflows
• Ensure GenAI solutions are grounded in approved data sources, governed access, logging, and retention policies
• Define evaluation and monitoring approaches for GenAI outputs in regulated use cases

Enterprise MLOps / LLMOps

• Implement automated ML/LLM delivery pipelines covering training, evaluation, approval, deployment, and rollback
• Implement standards for model versioning, reproducibility, environment isolation, and controlled releases
• Reduce time-to-production while increasing safety, repeatability, and governance through automation

Skills

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 3+ years of experience in cloud engineering, with 3+ years focused on AI/ML systems
• Expert-level proficiency in Python, SQL and cloud infrastructure
• Hands-on experience deploying AI solutions in cloud environments (Azure and GCP)
• Deep understanding of production concerns: reliability, scalability, observability, cost, and security
• Experience delivering AI solutions in regulated industries (banking, financial services, insurance, healthcare)
• Strong familiarity with model risk management, audit requirements, and regulatory review process