Sr Full Stack AI Engineer

Job Description Ameriprise is seeking a Senior AI Automation Engineer to mature and expand our enterprise AI Platform – AgentCore by designing, building, and scaling new AI‑driven capabilities that directly support Portfolio Management and Research workflows. This role will serve as a hands‑on technical leader responsible for operationalizing Anthropic Cloud Code and advanced Claude services (including Claude Interpreter) across Ameriprise—delivering secure, governed, and reusable AI components. The engineer will work closely with Portfolio Managers, Research Analysts, and Quant teams to translate high‑value investment use cases into production‑grade agentic solutions deployed on AgentCore. AI (AgentCore) Platform Maturity Design agentic workflows and multi‑agent orchestration patterns using approved AgentCore frameworks and runtimes. Build AI capabilities that leverage: Tool calling Retrieval augmented generation (RAG) Structured data semantics Reusable prompt and skill Design and build new AI capabilities, agents, and reusable skills on Ameriprise’s AgentCore platform, aligned with standard reference architectures, lifecycle management, and governance controls. Contribute to AgentCore core services including agent runtime integration, memory patterns, observability, versioning, and gated deployment models. Ensure all AI capabilities comply with Ameriprise security, auditability, cost attribution, and responsible AI standards. Value Realization & Platform Adoption Demonstrate measurable impact on research productivity, decision velocity, and analytical depth. Support adoption via reference implementations, documentation, and enablement materials. Provide architectural guidance to teams building on AgentCore to prevent fragmentation and “shadow AI.” 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. Anthropic & Claude Enablement Lead enterprise adoption of Anthropic Cloud Code, establishing: Cloud Code implementation patterns Prompt, tool, and skill composition standards Agent safety and policy enforcement mechanisms Claude Interpreter and higher‑order reasoning services to enable Data exploration and analysis Multi‑step reasoning workflows Secure tool invocation within agent boundaries Investment & Research Use Case Delivery Partner directly with Portfolio Managers and Research Analysts to identify, design, and implement value‑add AI use cases, such as: Research summarization and synthesis Scenario, factor, and exposure analysis Structured and unstructured data interpretation Investment insight acceleration Convert exploratory research into repeatable, production‑ready AgentCore solutions. Required Qualifications 8+ years of experience in software engineering, automation, or platform engineering roles. Proven hands‑on experience implementing LLM‑based or agentic AI solutions in enterprise environments. Demonstrated expertise with Anthropic Cloud Code and advanced Claude services (including interpreter style workflows). Strong understanding of agent architectures, tool orchestration, and secure AI platform design. Experience working with investment, research, or Portfolio Management business users. Proficiency in Python and modern cloud native development patterns. Experience building AI platforms or shared AI services in financial services or regulated environments. Familiarity with portfolio management, investment research, or quantitative analytics workflows. Experience integrating AI solutions with enterprise data platforms and analytics stacks. Exposure to Responsible AI frameworks, model governance, and audit requirements. What Success Looks Like AI Platform evolves into a stable, reusable, enterprise AI platform with consistent agent patterns. Portfolio Managers and Research Analysts adopt AI driven workflows as part of daily decision making. Anthropic Cloud Code becomes a standardized, governed capability across Ameriprise. Investment teams see demonstrable increases in insight velocity, analytical depth, and productivity. Base Pay Salary The estimated base salary for this role is $155,000 - 200,000 per 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. Equal Employment Opportunity 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 Threadneedle group