Senior Engineer, AI
North Chicago, IL, United States Hybrid
$96,500–$183,500 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Work collaboratively with technology and business groups to design and develop machine learning and AI solutions for financial use cases, leading technical architecture for both traditional and deep learning models. The role includes executing traditional machine learning solutions, as well as developing and integrating generative AI and agentic AI technologies to automate workflows, enhance decision-making, and enable intelligent systems within financial applications. Contribute to AI strategy, collaborating cross-functionally with stakeholders (e.g., risk, compliance, business units), and evaluating emerging AI/ML technologies, and accountability for AI system auditability.
What you'll bring
- Implement MLOps practices for training, validation, deployment, and monitoring.
- Bachelor’s Degree with 6 years’ experience
- Master’s Degree with 5 years’ experience
- PhD with 0 years’ experience.
- Possess thorough theoretical and practical understanding of python, data science, machine learning, generative AI and agentic AI approaches and techniques.
- Experience architecting solutions in an AWS environment.
- Experience developing robust data/model pipelines, APIs, and integration layers.
- Proven experience with designing secure, scalable, and compliant architectures for AI/ML, generative AI, and agentic AI solutions for various use cases.
- Proven experience designing AL/ML and GenAI solutions using python.
- Proven experience with selecting and integrating AWS services for data pipelines, model hosting, vector search, orchestration, monitoring, and governance.
- Experience with establishing deployment standards, CI/CD and observability using GitHub and AWS.
- Proven implementation of creative technology solutions that advanced business.