Senior Artificial Intelligence Engineer
Ameriprise Financial (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 28–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI-enabled applications integrated with large language models (LLMs) to enhance investment management workflows and automate complex processes.
- Engineer scalable, production-grade AI solutions including generative AI models, RAG architectures, and vector database implementations across asset management functions.
- Collaborate cross-functionally with global teams, stakeholders and technologists to translate business requirements into technical architecture while ensuring performance, security, and compliance.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field; experience with software engineering fundamentals and development.
- Advanced proficiency in Python programming with experience in generative AI, prompt engineering, fine tuning, and RAG implementation.
- Strong foundation in cloud computing including AWS services, containerization, version control (Git), and CI/CD pipelines; full-stack development including React/JavaScript and RESTful APIs.
- Work Experience Required: Not explicitly mentioned in the JD; must be able to work in-office at least 3 days/week with Indian time zone availability (2:00p-10:30p IST).
Ideal Candidate Profile
- Technical expertise bridging AI and software engineering, with the ability to build scalable, production-ready AI systems in an agile, fast-paced environment.
- Experience or interest in financial services or investment management domain is preferred for contextual understanding.
- Comfortable collaborating with global distributed teams and communicating complex AI concepts to diverse stakeholders including non-technical audiences.