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About the Role

The VP-Forward Deployed Engineer operates at the intersection of investment strategy, quantitative analysis, and applied artificial intelligence. This role partners 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.

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.

Requirements

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.
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).

Skills

AI
LLM
Advanced analytics
Machine learning
Python
Cloud infrastructure
CI/CD
Version control
API design
RAG/embeddings
Agentic workflows
Prompt engineering
API integration
Agent frameworks
Orchestration tools
Vector databases
Building internal copilots
Research assistants
Document-intelligence tools

Location

United States

Work Type

Hybrid
Full-time

Experience Level

10+ years

Education Level

CFA, FRM, or equivalent investment credential

Salary/Compensations

$242,100 - $332,900 / year

Benefits

Vacation time
Sick time
401(k)
Health insurance
Dental insurance
Life insurance

About the 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.

Equal Opportunity

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.