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# Sr. AI Engineer - FDE (Forward Deployed Engineer)

- **Company:** Selby Jennings
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Data Architecture, Information Engineering, Distributed Systems, Knowledge Management, Machine Learning, Object-Oriented Software Development, Software Architecture, Software Engineering, Enterprise Software Applications, Spring Cloud, Large Language Models, Reliability of Systems, Generative AI, Kubernetes, Api Design, Microservices
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=74c76d5f33706ae5

## About the Role

* 5+ years of software engineering experience within enterprise technology environments.
 * Advanced Python development experience with strong object-oriented programming skills.
 * Experience with Java, C++, C#, or another object-oriented programming language.
 * Strong understanding of software architecture, distributed systems, and engineering best practices.
 * Experience designing and deploying solutions on public cloud platforms.
 * Hands-on experience building AI, machine learning, generative AI, or intelligent automation solutions.
 * Demonstrated ability to take ideas from initial discovery through prototype development and business adoption.
 * Strong stakeholder management and communication skills.
 * Experience supporting applications in complex production environments.
 * Excellent analytical, troubleshooting, and problem-solving capabilities., * Experience developing LLM's, retrieval-based, or AI-assisted workflow applications.
 * Knowledge of modern data architecture and large-scale data platforms.
 * Experience with containerization and orchestration technologies such as Kubernetes.
 * Familiarity with API design, microservices architecture, and distributed systems.
 * Exposure to financial services, research, analytics, data products, or knowledge-management platforms.
 * Cloud certifications across architecture, machine learning, or data engineering disciplines.

## Description

* Partner with business leaders and end users to identify opportunities for AI-driven process improvement and automation.
 * Design, develop, and deploy AI, machine learning, and intelligent workflow solutions from concept through production.
 * Translate business requirements into scalable technical architectures and working prototypes.
 * Build cloud-native applications and services that support data-intensive and AI-enabled workflows.
 * Collaborate with platform and engineering teams to productionize successful proof-of-concepts.
 * Establish best practices around system reliability, observability, monitoring, and operational support.
 * Communicate complex technical concepts to both technical and non-technical stakeholders.


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