Ameriprise Financial is seeking a Senior AI Automation Engineer to lead the next phase of AI-enabled SDLC maturity across Investment Technology. This role is responsible for defining, building, and scaling AI-driven automation across the software delivery lifecycle—leveraging Anthropic Cloud Code–based capabilities, agentic workflows, and enterprise-grade GenAI platforms.
The ideal candidate brings hands-on experience operationalizing LLMs at scale, deep understanding of modern SDLC practices, and a strong bias toward automation, governance, and measurable business outcomes. This role will directly influence how software is designed, built, tested, and deployed across Ameriprise.
AI-Enabled SDLC Transformation
Define and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.
Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows aligned to enterprise SDLC standards 1.
Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.
Anthropic Cloud Code & Agentic Automation
Serve as the subject matter expert for Anthropic Cloud Code capabilities, including:
Prompt engineering standards
Agent-based orchestration patterns
Secure model invocation and policy enforcement
Design and deploy agentic AI workflows to automate:
Requirements for elaboration and decomposition
Jira story and acceptance criteria generation
Unit, integration, and UAT test generation
SDLC artifact and control evidence creation
Enterprise Platform Enablement
Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).
Establish reusable AI components, frameworks, and guardrails for product and engineering teams.
Enable adoption through reference architectures, implementation patterns, and developer enablement.
Value Realization & Measurement
Identify and quantify productivity, quality, and cycle-time improvements driven by AI.
Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.
Support executive visibility into AI-driven outcomes and maturity progress.
Preferred Qualifications
Experience integrating GenAI into requirements management, testing automation, and SDLC controls.
Familiarity with enterprise GenAI governance models, including model risk management and auditability.
Experience working in financial services or highly regulated industries.
Thought leadership in AI platforms, automation, or engineering productivity initiatives.
What Success Looks Like
AI-driven automation measurably reduces SDLC cycle time and manual effort.
Development teams consistently leverage AI-generated requirements, code, and tests within governed workflows.
Anthropic Cloud Code capabilities are adopted as a standard, reusable enterprise platform capability.
Ameriprise achieves a demonstrable increase in SDLC maturity, quality, and compliance efficiency through GenAI.
Base Pay Salary
The estimated base salary for this role is $128,000 - $168,000/ 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
Exempt
Technology
TECH Technology
