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Deployment & Solutions Engineer
Job in
Garland, Dallas County, Texas, 75040, USA
Listed on 2026-10-30
Listing for:
Jobgether
Full Time
position Listed on 2026-10-30
Job specializations:
-
IT/Tech
Data Engineering, AI Engineer (Applied/Software)
Job Description & How to Apply Below
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Forward Deployment Engineer based in the United States.
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. - 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. - Share customer feedback, technical challenges, and recurring implementation patterns to inform product improvements and future development.
- 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 Type Script.
- 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…
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