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

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.
• 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, 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
• Comfortable 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.
 

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.