Distribution & Analytics GenAI Forward Deployed Engineer

Distribution & Analytics GenAI Forward Deployed Engineer### Distribution & Analytics GenAI Forward Deployed Engineer Apply:
Hybrid:
Boston, Massachusetts:
Full time:
Posted Today:
End Date:
November 28, 2026 (30+ days left to apply):
R26 _2943
** 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 River Source 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 product ionise 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, Py Spark
* 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…