Distribution & Analytics GenAI Forward Deployed Engineer

About Our Company

We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Job Description

Key Responsibilities

Build AI & Advanced Analytics Solutions

• Design and develop AI workflows using LLMs, RAG, and agent-based frameworks
• Implement solutions using AWS Bedrock, Snowflake Cortex, and related services
• Build ML feature pipelines and support AI use case deployment
• Collaborate with data science teams to productionise AI capabilities

Develop Cloud Data Pipelines

• Build and maintain scalable data pipelines across ingestion, transformation, and serving layers
• Work with AWS services (S3, Glue, Lambda, Athena) and Snowflake/Redshift
• Write production-grade code in Python and/or PySpark

Integrate Commercial & CRM Data

• Design and implement integrations for Salesforce CRM, Marketing Cloud, and web analytics platforms
• Work at API and schema level to connect multiple data sources
• Identify and resolve data quality issues across pipelines and source systems

Drive Engineering Quality

• Contribute to code reviews, testing practices, and pipeline reliability improvements
• Participate in technical design discussions and architecture reviews
• Identify and address technical debt to improve platform performance

Prototype & Innovate

• Lead proof-of-concept work for new AI and data capabilities
• Evaluate emerging tools and frameworks and recommend adoption
• Translate experimentation into practical solutions for the platform roadmap

Tech Stack

• Cloud: AWS (S3, Glue, Lambda, Athena)
• Data Platforms: Snowflake, Redshift
• Languages: Python, PySpark
• AI/ML: AWS Bedrock, Snowflake Cortex
• AI Patterns: LLMs, RAG, vector databases, agent frameworks
• CRM & Data Sources: Salesforce, Marketing Cloud, third-party commercial data
• Visualisation (Optional): Tableau or equivalent

Required Qualifications

This role is ideal for a mid–senior engineer who is already operating independently and delivering high-quality solutions but is not yet in a full architectural leadership position.

• 4–7 years of experience in data engineering, analytics platforms, or software development
• Proven track record of hands-on delivery in cloud-native environments
• Bachelor’s degree in computer science, Engineering, or equivalent experience
• Strong hands-on experience in cloud data engineering (AWS + Snowflake/Redshift)
• Proven experience building AI/LLM-based solutions using orchestration frameworks and managed services
• Solid programming skills in Python and/or PySpark
• Experience in integrating Salesforce CRM data and commercial data sources
• Understanding of data pipelines across ingestion, transformation, and serving
• Ability to work independently with strong delivery discipline and ownership

Preferred Qualifications

• Experience with MLOps, feature engineering, or model serving
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI, AWS Agent Core)
• Experience of onboarding third-party commercial datasets (e.g., fund flows, market intelligence)
• Experience with BI tools (Tableau or similar) for business-facing analytics

Visa Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

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 four (4) days per week, with flexibility to work from home one (1) day 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.

Base Pay Salary

Full-Time/Part-Time

Exempt/Non-Exempt

Job Family Group

Line of Business  

Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, 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.