Forward Deployed Engineer, AI
Alldus
New York · Posted October 28, 2026
Just laid off? Start here: a plan for the first weeks
More in New York job market · Forward Deployed Engineer jobs in New York (75) · All Forward Deployed Engineer jobs (317) · Financial Services & Banking · Data & Analytics jobs
More roles at Alldus
- Forward Deployed Engineer/Deployment Strategist · New York City, NY
- Senior Member of Technical Staff · San Francisco, CA
- AI Engineer · New York, NY
- Head of Engineering
- Principal Software Engineer
- ML / AI Research Engineer · San Francisco, CA
Similar jobs
- Member of Technical Staff - Applications · Reflection AI · New York, NY
- Forward Deployed Analytics Engineer · Translucent · New York, NY
- Member of Technical Staff - Shared Services · Reflection AI · New York, NY
- Forward Deployed Insights Engineer (Applied AI) · Translucent · New York, NY
- Member of Technical Staff · Concourse · New York, NY
- Software Engineer, Frontend · Squarespace · New York, NY
Data & Analytics jobs in the rankings
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 103 open forward deployed engineer listings that state pay, the middle half runs $160,000 to $215,000 and the median is $195,000.
Listed pay is what employers advertise, not what people are paid.
Forward Deployed Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Our client, a growing fintech company, is hiring a Forward Deployed Engineer to join their team in New York City. The successful candidate will collaborate with finance, credit risk, servicing, collections and operations teams to automate manual processes using AI, while partnering with Product and Engineering to build AI solutions for merchants and partners.
Responsibilities
Collaborate with business teams to understand their processes, identify improvements and define measurable outcomes.
Lead projects from initial discovery and technical design through development, deployment and adoption.
Develop reliable automations, data pipelines and AI agents that address business needs.
Build evaluations to verify outputs before deployment and maintain accuracy as models, data and workflows evolve.
Set up monitoring, exception handling and alerts with clear responsibilities and escalation procedures.
Establish human review requirements, access controls, activity logging and boundaries for automated decisions.
Work with Product and Engineering to develop customer-facing AI solutions that meet review and deployment standards.
Develop reusable components, evaluation frameworks and deployment approaches to improve future delivery.
Assess business results and present findings to senior leadership, including time savings, review and maintenance effort, and control effectiveness.
Work closely with engineers in New York and India, using insights from deployments to shape the platform roadmap.
Skillset
At least 3 years of experience in software engineering or technical deployment, including working directly with business users.
Strong Python and SQL skills, with experience developing and maintaining production systems.
Hands-on experience deploying LLM applications, including prompt engineering, AI agents and evaluation.
Experience working with governed data in platforms, such as Databricks or ClickHouse.
Ability to build reliable data pipelines, validate outputs and troubleshoot data quality issues.
Strong discovery skills, with the ability to turn business workflows into clear technical requirements.
Clear communication skills and confidence explaining technical decisions to nontechnical stakeholders.
Ability to own delivery, navigate unclear requirements and identify valuable opportunities for automation.
Experience in fintech, lending, payments, banking or another regulated environment is an advantage.
Benefits
Salary: $145k - $195k.
Equity.