Distribution & Analytics GenAI Forward Deployed Engineer

About Our CompanyWe’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 DescriptionJoin 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 ResponsibilitiesBuild AI & Advanced Analytics SolutionsDesign and develop AI workflows using LLMs, RAG, and agent-based frameworksImplement solutions using AWS Bedrock, Snowflake Cortex, and related servicesBuild ML feature pipelines and support AI use case deploymentCollaborate with data science teams to productionise AI capabilitiesDevelop Cloud Data PipelinesBuild and maintain scalable data pipelines across ingestion, transformation, and serving layersWork with AWS services (S3, Glue, Lambda, Athena) and Snowflake/RedshiftWrite production-grade code in Python and/or PySparkIntegrate Commercial & CRM DataDesign and implement integrations for Salesforce CRM, Marketing Cloud, and web analytics platformsWork at API and schema level to connect multiple data sourcesIdentify and resolve data quality issues across pipelines and source systemsDrive Engineering QualityContribute to code reviews, testing practices, and pipeline reliability improvementsParticipate in technical design discussions and architecture reviewsIdentify and address technical debt to improve platform performancePrototype & InnovateLead proof-of-concept work for new AI and data capabilitiesEvaluate emerging tools and frameworks and recommend adoptionTranslate experimentation into practical solutions for the platform roadmapTech StackCloud: AWS (S3, Glue, Lambda, Athena)Data Platforms: Snowflake, RedshiftLanguages: Python, PySparkAI/ML: AWS Bedrock, Snowflake CortexAI Patterns: LLMs, RAG, vector databases, agent frameworksCRM & Data Sources: Salesforce, Marketing Cloud, third-party commercial dataVisualisation (Optional): Tableau or equivalentRequired QualificationsThis 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 developmentProven 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 QualificationsExperience with MLOps, feature engineering, or model servingExposure 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 SponsorshipApplicants 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 CollaborationWe 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 SalaryThe 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-TimeFull timeExempt/Non-ExemptExemptJob Family GroupTechnologyLine of Business TECH TechnologyAmeriprise 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.SummaryLocation: Boston, MassachusettsType: Full time