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Telangana, India
Hybrid
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 workflows for complex investment processes
Collaborate with global teams to deliver high-impact solutions
The ideal candidate for this job should have:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred
Strong software engineering fundamentals with hands-on development experience
Proven ability to translate complex business requirements into technical solutions
Natural curiosity and passion for emerging technologies
Excellence in cross-functional collaboration and communication
Responsibilities in this job include (but are not limited to):
Design, develop, and deploy technology solutions integrated with LLMs for distribution, investments and investment operations
Evaluate and implement state-of-the-art generative AI models and frameworks and build proof-of-concept solutions
Partner with stakeholders to translate business requirements into technical solutions and communicate complex AI concepts to non-technical stakeholders
Work cross-functionally with data engineers, technologists and product owners to architect scalable, production-grade AI systems
Optimize existing workflows and tools through AI automation while ensuring solutions meet performance, security, and compliance standards
Mentor team members, perform code reviews, and contribute to technical architecture and documentation
Required Technical Skills:
Advanced Python programming and experience with generative AI models with knowledge of prompt engineering, fine tuning and RAG implementation
Strong foundation in cloud computing, containerization, and proficiency with version control systems (Git) and CI/CD pipelines
Deep understanding of LLM capabilities, responsible AI practices, and experience with RAG architectures and vector databases
Full-stack development skills, including frontend development with React/JavaScript, building and maintaining RESTful APIs, and understanding web architecture and microservices
Experience with AWS services (or equivalent), cloud-native architectures, scalable and secure deployment patterns, and familiarity with monitoring and observability tools
Ability to handle large-scale datasets, data engineering principles, and knowledge of automated workflow design and implementation
What we will look for in an ideal candidate:
Engineering (B.E./ B. Tech.) graduate or Masters (Stats, Quant, Mathematics, etc.) from a well-recognized institute.
Strong problem-solving abilities and analytical mindset
Excellent communication skills with technical and non-technical stakeholders
Demonstrated ability to work in fast-paced, agile environments
Comfort working with globally distributed teams
Preferred Additional Experience:
Financial services or investment management background
Experience with web scraping and data extraction techniques
Open-source contributions or side development projects
In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Full-Time/Part-Time
Timings
India Business Unit
Job Family Group
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.