Sr. AI Engineer - FDE (Forward Deployed Engineer)

Selby Jennings
New York, NY, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$175,000.0 - $225,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+10 more
Software Architecture Software Engineering Enterprise Software Applications Spring Cloud Large Language Models Reliability of Systems Generative AI Kubernetes Api Design Microservices

Job 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.

Requirements

  • 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.

About the company

A leading Investment Bank is investing heavily in next-generation AI capabilities to transform how knowledge, data, and insights are generated, consumed, and delivered across the organization.

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