Artificial Intelligence Engineer

Ameriprise Financial — Hyderabad, Telangana, India

About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP. Job Description We're seeking an exceptional Software Engineers to drive the development of cutting-edge artificial intelligence enabled solutions. As a key member of our Asset Management Engineering team, you'll shape the future of investment management by developing and deploying innovative AI applications. In this role you will be instrumental in: Engineering a technology stack to revolutionize insight generation through AI-powered analytics Building scalable solutions to enhance investment management workflows, elevating the investment process and creating efficiencies Integrating a technology stack with LLMs to support a range of uses, from insight generation to workflow automation Accelerating the adoption of generative AI across the asset management value chain-distribution, investments and investment operations You will combine your technical expertise with business acumen to: Develop production-grade applications integrated with LLMs from concept to deployment Design and implement automated w

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