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Job Description
Structured overview of role & requirementsAbout This Role
Architect and deliver enterprise-grade AI solutions including Generative AI, Large Language Models, and multi-agent workflows with human-in-the-loop controls.
Lead hands-on development of full-stack applications, data and cloud engineering, and machine learning models relevant to asset management.
Define technical strategy, set engineering standards, mentor teams, and partner with stakeholders to deliver scalable AI-powered products and measurable business outcomes.
Minimum Requirements
Extensive hands-on software engineering experience including design and delivery of enterprise-scale distributed applications and production-grade AI/Generative AI solutions.
Proficient in ReactJS, TypeScript, Python or Java; experience with API/microservices; knowledge of frameworks like FastAPI or Spring Boot is beneficial.
Strong expertise with cloud-native architectures, BigQuery, PostgreSQL, CI/CD, Docker, Kubernetes, infrastructure as code, observability, automated testing, and tools such as GitHub, Azure DevOps, Terraform, OpenTelemetry.
Bachelor’s degree in Computer Science, Engineering, Science or related discipline or equivalent experience. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced technical leader capable of setting strategy, leading AI engineering teams, mentoring engineers, and establishing engineering best practices.
Deep domain knowledge in financial markets and asset management, including familiarity with ETFs, mutual funds, and investment performance metrics.
Strong problem-solving and judgment skills to balance delivery speed, quality, risk, maintainability, and scalability in complex AI and software engineering projects.