Remote Forward Deployed Software Engineer Jobs
Remote forward deployed software engineer jobs are open across the U.S. in enterprise software, defense tech, and AI infrastructure, at remote-first firms and distributed teams that deploy engineers directly into client environments. Employers hiring remotely right now include KONG, Revstar, and NewRocket. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 132+ Remote Forward Deployed Software Engineer jobs
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
Full-Time/Part-Time
Exempt/Non-Exempt
Job Family Group
Line of Business
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.
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
Full-Time/Part-Time
Exempt/Non-Exempt
Job Family Group
Line of Business
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.
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Find JobsRemote Forward Deployed Software Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software15
- Consulting & Professional Services3
- Telecommunications2
- Manufacturing1
- Artificial Intelligence1
What Employers Look For
The qualifications that appear most often in remote forward deployed software engineer jobs.
- Bachelor's degree in computer science, engineering, or a related technical field
- Proficiency in at least one systems or backend language such as Python, Go, or Java
- Experience deploying and debugging software in customer or production environments
- Ability to travel to customer sites on a recurring or as-needed basis
- Strong written and verbal communication skills for a non-technical audience
- Familiarity with cloud platforms such as AWS, GCP, or Azure and containerization tools
Tips for Your Remote Forward Deployed Software Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote forward deployed software engineer openings from across the U.S. in one place. Search roles by fit, apply directly, and move before postings close. Remote roles with clear requirements fill faster than you'd expect.
Show async communication skills upfront
Remote forward deployed roles require you to coordinate with distributed clients and internal teams entirely through written channels. Include examples of written technical documentation, async handoff notes, or client-facing incident summaries in your application materials to prove you can operate this way.
Document deployment and integration work concretely
Remote employers can't watch you work, so your portfolio needs to do it for them. Capture integration projects, client environment setups, and production deployments with measurable outcomes. A GitHub repo or case study that shows a real deployment lifecycle is more persuasive than a job title alone.
Prepare for remote-first technical interviews
Remote forward deployed interviews typically include async take-home exercises and live debugging sessions conducted over video with screen sharing. Practice articulating your thought process out loud while coding, because remote interviewers weight communication during technical problems as heavily as the solution itself.
Remote Forward Deployed Software Engineer Jobs: Frequently Asked Questions
How do I get a remote forward deployed software engineer job?
Target remote-first companies and distributed engineering teams that embed engineers in client environments without requiring on-site presence, which is most common in enterprise software, defense tech, and AI infrastructure. Remote employers screen hard for self-direction, clear async written communication, and the ability to troubleshoot independently in customer-facing situations. A portfolio showing real deployment work, integration projects, or client-side problem solving gives you a concrete edge over candidates with equivalent credentials.
Which companies hire remote forward deployed software engineers?
Companies hiring remote forward deployed software engineers right now include KONG, Revstar, and NewRocket, based on current remote listings on Migrate Mate as of September 2026. Remote-first firms and distributed teams across enterprise software, defense tech, and AI infrastructure are the most consistent employers of this role.
Can you get a remote forward deployed software engineer job with no experience?
Yes, but remote entry-level roles are harder to land because you must operate independently from day one without the informal support of an office. Companies most likely to hire entry-level remote candidates are smaller remote-first startups that value raw technical ability. Demonstrating async communication skills, open-source contributions, or documented integration projects can substitute for formal experience and opens doors that a blank resume alone would not.
Do you need a degree for remote forward deployed software engineer jobs?
Not always. Remote employers for this role weigh demonstrated technical ability, client-facing communication skills, and a history of shipping real solutions more heavily than a diploma. Candidates who can show documented deployment work, integrations, or customer-environment problem solving often advance past degree requirements, particularly at remote-first firms that evaluate engineers on output rather than credentials.
Which industries hire the most remote forward deployed software engineers?
The sectors hiring the most remote forward deployed software engineers are Technology & Software, Consulting & Professional Services, and Telecommunications, based on current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed teams that embed engineers in customer environments without requiring engineers to relocate.
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