Forward Deployed AI Engineer

Oscar Technology
San Francisco, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

San Francisco, United States of America

Tech stack

Microsoft Access
Java
Artificial Intelligence
Cloud Computing
Computer Programming
Data Infrastructure
ETL
Distributed Systems
Fraud Prevention and Detection
Python
Machine Learning
Software Engineering
Data Logging
Low Latency
Data Analytics
Real Time Data
Virtual Agents
Api Design
Stream Processing
Data Pipelines
Web Api

Job description

  • Join a fast-growing, AI-driven company focused on improving access to financial products, risk decisioning, and customer operations through machine learning and real-time data systems
  • Serve as a Forward Deployed AI Engineer, owning the end-to-end delivery of AI-powered solutions within enterprise customer environments
  • Work directly with financial institutions, platforms, and operations teams to deploy, customize, and scale AI systems in production
  • Operate at the intersection of backend engineering, data, and customer-facing problem solving, translating complex business needs into scalable technical solutions
  • Play a critical role in ensuring AI products deliver measurable outcomes such as improved underwriting accuracy, fraud detection, and operational efficiency, * Design, build, and deploy AI-driven applications and workflows tailored to customer-specific financial use cases
  • Integrate internal platforms with external systems including core banking systems, payment processors, and third-party APIs
  • Own the full lifecycle of deployments-from problem scoping and prototyping to production rollout and optimization
  • Collaborate directly with client stakeholders to understand requirements and deliver solutions aligned with business and regulatory constraints
  • Ensure production systems meet strict SLAs for reliability, latency, and data accuracy
  • Implement monitoring, logging, and analytics to support data-driven iteration and continuous improvement
  • Partner with product and engineering teams to influence roadmap based on real-world customer feedback and edge cases
  • Navigate complex data environments, including structured and unstructured financial datasets, to drive meaningful insights

Requirements

  • 2-6 years of experience in software engineering, solutions engineering, or technical consulting roles
  • Strong programming skills in Python, Java, or similar backend languages
  • Experience working with APIs, distributed systems, and cloud platforms
  • Familiarity with data pipelines, ETL processes, and real-time data processing
  • Ability to operate independently in ambiguous, client-facing environments
  • Strong communication skills, with the ability to translate complex technical concepts into business impact

What Sets You Apart

  • Proven ability to own problems end-to-end, from initial discovery through deployment and iteration
  • Comfortable working directly with customers and influencing both technical and business decisions
  • Strong bias toward execution, speed, and measurable outcomes
  • Ability to navigate complex integrations and imperfect data environments
  • Interest in building systems that directly impact financial access, risk, and decision-making at scale

This role is critical in bridging the gap between AI capabilities and real-world financial applications. You will be directly responsible for ensuring that advanced AI systems are not only technically sound, but also deliver tangible value in high-stakes, real-world financial environments.

Apply for this position