Vice President - Forward Deployed Engineer

Ameriprise Financial Services, LLC; Boston (MA); Hybrid; USD 242,000 - 333,000; Full time

Job summary

Ameriprise Financial Services, LLC seeks a VP-Forward Deployed Engineer at the intersection of investment strategy, quantitative analysis, and applied AI. You will design, prototype, and deploy LLM-enabled tools that enhance investment decision-making and research, translating ideas into scalable technology.

Collaborating with portfolio management, research, technology, data, risk, and compliance, you will drive AI capability delivery from proof-of-concept to production, transforming prototypes

Qualifications

• 10+ years across investment management, quantitative research/strategy, and hands-on software or AI engineering.
• Experience working with trading desks, portfolio managers, or research teams.
• Hands-on experience building and shipping LLM-enabled applications: RAG/embeddings, agentic workflows, prompt engineering, API integration.
• Strong Python development skills producing production-quality code.
• Cloud infrastructure and modern software practices (CI/CD, version control, API design).
• Fluency in at least one asset class (equities, fixed income, multi-asset, or macro).
• Track record delivering secure, auditable AI solutions in a regulated environment.

Responsibilities

• Serve as a trusted advisor to investment leaders, translating strategies into AI-enabled solutions.
• Design and deliver proof-of-concept and production-ready AI capabilities using analytics, ML, and LLMs.
• Partner across Investments, Technology, Data, Risk, and Compliance to meet enterprise standards.
• Influence the AI and investment tech roadmap by identifying high-value opportunities.
• Lead the transition of prototypes into sustainable enterprise capabilities with engineering teams.

Skills

Python

LLM engineering

Investment domain

Regulatory awareness

Client-facing skills

Tools

LangChain

LangGraph

LlamaIndex

MCP

Job description

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

The VP-Forward Deployed Engineer operates at the intersection of investment strategy, quantitative analysis and applied artificial intelligence. The position is responsible for partnering closely with portfolio management and investment research teams to identify opportunities, design solutions, and develop, prototype, and deploy LLM-enabled tools that enhance investment decision-making and research processes. Combines investment management knowledge with software engine capabilities to translate investment ideas and research needs into scalable technology solutions.

Key Responsibilities

• Serve as a trusted advisor to investment leaders, translating investment strategies, research priorities, and business challenges into innovative AI-enabled solutions that improve investment outcomes and organizational efficiency.
• Drive the design and delivery of proof-of-concept and production-ready AI capabilities, leveraging advanced analytics, machine learning, and LLM technologies to accelerate investment insights and decision-making.
• Partner across Investments, Technology, Data, Risk, and Compliance functions to ensure solutions meet enterprise standards for security, governance, scalability, and regulatory compliance.
• Influence the AI and investment technology roadmap by identifying high-value opportunities, evaluating emerging capabilities, and promoting adoption of innovative solutions across the investment organization.
• Lead the transition of successful prototypes into sustainable enterprise capabilities, partnering with engineering and platform teams to scale solutions and realize long-term business value.

Required Qualifications

• 10+ years of combined experience across investment management, quantitative research/strategy, and hands‑on software or AI engineering, with demonstrated success taking investment problems from concept to working solution.
• Direct experience working alongside trading desks, portfolio managers, or investment researchers, with desk strategist, quant strat, or research technologist backgrounds strongly preferred.
• Hands‑on experience building and shipping LLM enabled/integrated applications: RAG/embeddings, agentic workflows, prompt engineering, API integration.
• Strong Python development skills producing production-quality code.
• Expertise with cloud infrastructure and modern software practices (CI/CD, version control, API design).
• Fluency in at least one asset class (equities, fixed income, multi-asset, or macro) at a level where you can challenge and contribute to investment discussions, not just support them.
• Track record of delivering secure, auditable AI solutions in a regulated environment, partnering with risk and compliance.

Preferred Qualifications

• Direct experience supporting front‑office investment teams (portfolio managers, analysts, researchers, traders).
• Familiarity with agent frameworks and orchestration tools (LangChain, LangGraph, LlamaIndex, MCP) and vector databases.
• Experience building internal copilots, research assistants, or document‑intelligence tools.
• CFA, FRM, or equivalent investment credential.
• Track record of shipping AI or analytics solutions that produced measurable, real‑world outcomes.

Visa Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

In-Office Collaboration

We are a client‑centric, relationship‑based business. Working together, in‑person, is foundational to how we achieve results. By fostering a culture of face‑to‑face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in‑office time or different in‑office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary

The estimated base salary for this role is $242,100 - $332,900 / year. We have a pay‑forperformance 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 insurances.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Data

Line of Business

TECH Technology

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.