Distribution & Analytics Engineer – GenAI

Ameriprise Financial Services, LLC

. Partner directly with Sales, Marketing and Distribution users to turn ambiguous commercial needs into sharply scoped, high-value problems .

Posted 9/20/2026full-timeBoston • Massachusetts • United StatesMid-LevelSenior💰 $145,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing LLM-enabled tools for Sales, Marketing, and Distribution teams, with a strong focus on integrating solutions within CRM and marketing analytics platforms while adhering to security and governance standards.

Highest-signal resume keywords

Strong Python SkillsAWS Engineering DepthAgentic AI Deployment on Amazon Bedrock AgentCoreExperience with CI/CD and API DesignDirect Experience in Asset Management or Financial Services

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonLLM-Enabled Tool DevelopmentCRM IntegrationCampaign AnalyticsData GovernanceAPI DesignCI/CDVersion ControlPrototypingProblem Solving

Soft Skills

Communication SkillsCollaborationUser Validation

Tools & Technologies

Amazon Bedrock AgentCoreCRM PlatformsMarketing Analytics PlatformsInternal Data Platforms

Industry Keywords

Asset ManagementFinancial ServicesSalesMarketingDistribution

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Partner directly with Sales, Marketing and Distribution users to turn ambiguous commercial needs into sharply scoped, high-value problems
Rapidly prototype and iterate on LLM-enabled tools spanning CRM intelligence, meeting preparation, campaign and audience analytics, and distribution reporting
Ground solutions in real CRM and commercial data
Take prototypes from whiteboard to working solution, largely independently and without detailed specifications
Integrate solutions with LLM enablement infrastructure, agent runtimes, internal data platforms, CRM and marketing analytics platforms
Ensure outputs meet security, governance and auditability standards of a regulated environment
Validate solutions with users through short feedback loops
Stop or redirect ideas that do not earn adoption
Identify prototypes with production potential and partner with engineering to scale them
Ship working tools used by Sales, Marketing and Distribution teams

Requirements

What you’ll need

Direct experience working alongside Sales, Marketing or Distribution teams in asset management or financial services
Fluency in how funds are sold, serviced and reported, including CRM, campaigns, mandates and flows
Strong Python skills
Genuine AWS engineering depth
Hands-on experience building or deploying agentic AI on Amazon Bedrock AgentCore
Ability to become productive in AgentCore quickly
Experience with CI/CD, version control and API design
Track record of independently taking ambiguous problems from concept to working solution in fast-moving, loosely defined environments
Communication skills to operate across distribution and engineering teams
Ability to apply security, data-governance and responsible-AI guardrails with appropriate evaluations and human oversight

Benefits

Comp & perks

Variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role
Competitive and comprehensive benefits program
Vacation time
Sick time
401(k)
Health insurance
Dental insurance
Life insurance
Reasonable accommodation support during recruitment and interviews