AI-Driven Deployment Engineer — Fintech (Remote)

Jobgether; Pennsylvania; Remote; USD 135,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Unlimited PTO

401(k) plan

Remote work

Job summary

Jobgether seeks a Forward Deployment Engineer to drive AI-powered fintech implementations from discovery to production. You will design data integrations, configure AML/Fraud detection, and optimize AI agents for investigation workflows, collaborating with banks, fintechs, and crypto platforms.

Based in the United States, this fully remote role requires strong API, data, and regulatory experience, with opportunities to influence product development and scalable deployment practices.

Qualifications

• At least 5 years of experience in implementation, solutions engineering, solutions architecture, technical consulting, or forward-deployed engineering for a B2B SaaS product.
• Experience in fintech, regtech, banking, or financial crime prevention is highly desirable.
• Strong technical proficiency with REST APIs, Postman, SQL, relational databases, ETL pipelines, and at least one programming language, such as Python, JavaScript, or TypeScript.
• Ability to design, implement, and troubleshoot end-to-end data integrations, including data mapping, schema validation, historical backfills, and production data quality checks.
• Strong data analysis skills, with the ability to interpret customer data structures, identify missing or inconsistent information, and communicate required changes to technical stakeholders.
• Familiarity with core banking data and systems from providers such as FIS, Fiserv, or Jack Henry is an advantage.
• Ability to translate fraud patterns and compliance requirements described by Bank Secrecy Act (BSA) officers or fraud leaders into detection rules and validate their effectiveness against real-world data.
• Hands‑on experience configuring or building large language model (LLM)-based workflows or AI agents, including writing instructions, evaluating outputs, testing behavior, and determining production readiness.
• Understanding of fraud detection, anti-money laundering processes, financial risk management, and relevant regulatory reporting requirements is beneficial.
• Strong project management and organizational skills, with the ability to coordinate several implementations and maintain committed delivery timelines while adapting to changing priorities.
• Excellent written and verbal communication skills, including the ability to facilitate discussions with compliance leaders, business stakeholders, and data engineering teams.
• Ability to produce clear, actionable project updates and communicate technical concepts to audiences with different levels of technical expertise.
• A proactive, adaptable, and customer-oriented mindset, with strong problem-solving skills and a willingness to take ownership of complex challenges.

Responsibilities

• Own end-to-end implementations: Lead customer implementations from initial discussions through go-live, managing project plans, timelines, deliverables, and communication with business and technical stakeholders.
• Design data integrations: Develop customer-specific integrations using real-time APIs, batch files, and core banking data extracts, including schema mapping, historical data backfills, validation, and production readiness.
• Configure fraud and AML programs: Build, test, and optimize detection rules, screening processes, and customer risk rating (CRR) models to identify suspicious activity and financial crime risks.
• Develop AI-powered investigation workflows: Configure and tune AI agents that help customer teams investigate alerts and cases, ensuring outputs and workflows support effective decision-making.
• Implement regulatory workflows: Support customer requirements involving Suspicious Activity Reports (SARs), Currency Transaction Reports (CTRs), Customer Risk Rating (CRR), and other relevant compliance processes.
• Test and troubleshoot technical solutions: Validate data quality, investigate integration issues, debug failures, and ensure implementations operate reliably in production.
• Train and enable customers: Educate customer teams on the implemented platform and workflows, ensuring they can operate independently before transitioning to Customer Success.
• Manage concurrent projects: Keep multiple implementations on schedule, respond to changing requirements, communicate risks early, and develop recovery plans when delivery timelines are threatened.
• Develop repeatable implementation practices: Turn project learnings into reusable playbooks, standardized processes, and scalable implementation methodologies.
• Collaborate with Product and Engineering: Share customer feedback, technical challenges, and recurring implementation patterns to inform product improvements and future development.

Skills

REST APIs

SQL

ETL pipelines

Python

Postman

Data integration

Communication

LLM workflows

Tools

Postman

Core banking data systems

Job description

Jobgether seeks a Forward Deployment Engineer to drive AI-powered fintech implementations from discovery to production. You will design data integrations, configure AML/Fraud detection, and optimize AI agents for investigation workflows, collaborating with banks, fintechs, and crypto platforms.

Based in the United States, this fully remote role requires strong API, data, and regulatory experience, with opportunities to influence product development and scalable deployment practices.