Sr AI Automation Engineer - SDLC & GenAI Platforms

**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** 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-perfor…