Forward Deployment Engineer

Jobgether; Austin (TX); Remote; USD 135.000 - 160.000; Vollzeit

Benefits dieser Stelle

Base salary: $135,000-$160,000/year

Variable compensation: $15,000-$20,000

Equity: Pre-IPO equity

Healthcare: 100% company-paid medical,

PTO: Unlimited PTO

401(k) retirement plan

Learning & development stipend

Home office support

Remote work: US-wide

Collaborative, high-ownership culture

Equal opportunity

Zusammenfassung

Jobgether is seeking a Forward Deployment Engineer in the United States. You will lead end-to-end customer implementations for AI-powered financial crime solutions, from discovery through production launch.

Design data integrations, configure fraud/AML programs, and optimize AI agents to support investigation workflows. You will work with banks, fintechs, and crypto platforms, translating business and regulatory requirements into robust technical solutions, while managing multiple projects and

Qualifikationen

• 5+ years in implementation, solutions engineering, or forward-deployed engineering for B2B SaaS.
• Experience in fintech/regtech, banking, or financial crime prevention is highly desirable.
• Proficiency with REST APIs, Postman, SQL, relational databases, ETL pipelines, and at least one programming language (Python/JavaScript/TypeScript).
• Ability to design, implement, and troubleshoot end-to-end data integrations with data mapping and production data quality checks.
• Strong data analysis to interpret customer data structures and communicate changes to technical teams.
• Experience with core banking data systems (e.g., FIS, Fiserv, Jack Henry) is an advantage.
• Ability to translate fraud and compliance requirements into detection rules and validate against real-world data.
• Hands-on experience configuring or building LLM-based workflows or AI agents for production readiness.
• Understanding of fraud detection, AML processes, and regulatory reporting requirements.
• Strong project management and communication skills across compliance, business, and data engineering teams.

Aufgaben

• Lead customer implementations from discovery through go-live, managing plans and milestones.
• Design customer-specific data integrations using real-time APIs and batch files, including schema mapping and backfills.
• Configure fraud and AML programs, including rule tuning and risk rating models.
• Develop AI-powered investigation workflows to support alert and case investigations.
• Implement regulatory workflows (SARs, CTRs, CRR) and compliance processes.
• Test, troubleshoot, and ensure production readiness of integrations and solutions.
• Educate and enable customers to operate the platform independently post-implementation.
• Manage multiple implementations simultaneously and adapt to changing priorities.
• Develop repeatable implementation playbooks and scalable processes.
• Collaborate with Product and Engineering to incorporate customer feedback into product improvements.

Kenntnisse

REST APIs

Postman

SQL

ETL pipelines

Python/JS/TS

Fintech domain experience

Data integrations design

LLM workflows

Regulatory compliance awareness

Tools

Core banking data systems

Jobbeschreibung

Our partner is looking for a Forward Deployment Engineer based in the United States.

The Forward Deployment Engineer will play a critical role in implementing AI-powered solutions that help financial institutions detect, investigate, and prevent financial crime. Combining technical expertise with customer-facing delivery, this position owns implementations from initial discovery through production launch. The successful candidate will design data integrations, configure fraud and anti-money laundering (AML) detection programs, and optimize AI agents that support investigation workflows. Working directly with banks, credit unions, fintech companies, and cryptocurrency platforms, the engineer will translate complex business and regulatory requirements into reliable technical solutions. This role also involves managing multiple implementations simultaneously while adapting to evolving regulations, emerging fraud patterns, and advances in AI technology. It offers an opportunity to influence product development, build scalable implementation practices, and contribute to a collaborative, high-ownership environment focused on making financial systems safer.

Accountabilities

• 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.

Requirements

• 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, regulatory technology (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.

Benefits

• Base salary: $135,000-$160,000 per year, with the higher end dependent on experience and banking industry knowledge.
• Variable compensation: $15,000-$20,000, paid quarterly and based on agreed-upon projects and Net Revenue Retention (NRR).
• Equity: Pre-IPO equity opportunity.
• Healthcare: 100% company-paid medical, dental, and vision insurance for employees.
• Paid time off: Unlimited PTO and generous leave programs.
• Retirement savings: 401(k) plan.
• Learning and development: Dedicated stipend to support ongoing professional development.
• Home office support: Assistance with home office setup.
• Remote work: Fully remote position, currently open to candidates located in Arizona, California, Colorado, Georgia, Idaho, Illinois, Kansas, Massachusetts, Maryland, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Texas, Washington, or Canada.
• Collaborative culture: A high-ownership environment that encourages teamwork, innovation, professional growth, and meaningful impact.
• Equal opportunity: Commitment to building a diverse and inclusive workforce, with candidates encouraged to apply even if they do not meet every listed requirement.