Sr Full Stack AI Engineer

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

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.

AI (AgentCore) Platform Maturity

• 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.

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.

• 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.

Pulled from the full job description

• 401(k)
• Health insurance
• Dental insurance
• Life insurance, * 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/ 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.

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.