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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