Sr AI Automation Engineer - SDLC & GenAI Platforms

Senior AI Automation Engineer – Ameriprise Financial Ameriprise Financial is seeking a Senior AI Automation Engineer to lead the next phase of AI-enabled SDLC maturity across Investment Technology. The role will define, build, and scale AI-driven automation across the software delivery lifecycle—leveraging Anthropic Cloud Code-based capabilities, agentic workflows, and enterprise-grade GenAI platforms. Responsibilities 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. Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption. Serve as 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 elaboration, Jira story and acceptance criteria generation, unit, integration, and UAT test generation, and SDLC artifact and control evidence creation. Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms) and establish reusable AI components, frameworks, and guardrails. 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. 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 in financial services or highly regulated industries. Thought leadership in AI platforms, automation, or engineering productivity initiatives. Hands‑on experience operationalizing LLMs at scale and a strong bias toward automation, governance, and measurable business outcomes. Deep understanding of modern SDLC practices and enterprise SDLC standards. Success Criteria 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. Compensation & Benefits Base Pay Salary: $128,000 – $168,000 per year. Pay‑for‑performance compensation philosophy; total compensation may vary based on knowledge, skills, experience, and geographical location. Benefits include vacation time, sick time, 401(k), health, dental, and life insurance. Additionally, most roles are eligible for variable pay (bonus, commissions, long‑term incentives) depending on the role. Full‑time, exempt. EEO Statement Ameriprise 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. #J-18808-Ljbffr 00001 Ameriprise Financial Inc