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
Join a high-impact Data & AI engineering team at the forefront of Columbia Threadneedle’s enterprise AI transformation. You’ll build production-grade AI solutions (LLMs, RAG, and agent workflows) used directly by Sales, Marketing, and Distribution teams across EMEA.
This is a hands-on engineering role where you will work with modern cloud-native data platforms and AI tooling to turn commercial data into actionable intelligence. You will contribute to a growing AI agenda with direct exposure to senior leadership and real business impact.
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
The estimated base salary for this role is $123,100 - 169,200 / year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurance.
Full-Time/Part-Time
Full time
Exempt/Non-Exempt
Exempt
Job Family Group
Technology
Line of Business
TECH Technology
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.