AI Engineer

About the role

The AI Engineer will lead the design, architecture and implementation of scalable AI‑powered applications for a large global investment bank. You will work in an agile environment, collaborating with product, data science and engineering teams to deliver compliance‑focused cloud solutions.

Key responsibilities

• Design and build enterprise‑scale distributed applications and generative AI solutions using Python, Java and cloud‑native services.
• Lead migration and deployment of applications to Google Cloud Platform, including Terraform module development and management of GCE, GKE, CloudSQL/Postgres and related services.
• Architect and integrate large language models (e.g., Gemini) and agentic AI workflows using frameworks such as LangGraph and ADK.
• Establish CI/CD pipelines, observability, automated testing and AIOps governance for AI projects.

Required profile

• 13+ years of experience as an AI Engineer with proven leadership of technical initiatives.
• Strong background in software engineering, microservices, API design and asynchronous application development.
• Solid understanding of financial markets and investment banking concepts is highly desirable.
• Excellent stakeholder management and communication skills.

Required skills

• Python, Java (preferred), Scala
• FastAPI, Spring Boot, REST APIs
• Google Cloud Platform services: GCE, GKE, CloudRun, Cloud Composer, BigQuery, CloudSQL/Postgres
• Terraform, Git, CI/CD, Docker, Kubernetes, OpenTelemetry
• Large language model integration, RAG architectures, vector databases, LLMOps
• Machine learning libraries, feature engineering, model evaluation