Engineer, AI Solutions; Financial Systems

Overview

Hybrid Newly created position with a $1B+ Thriving Healthcare Company based in Irvine! Strong compensation, exceptional benefits and career advancement opportunities!

This Jobot Job is hosted by Mark

C. Johnson. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $140,000 - $165,000 per year

With 30 years of industry success, we have become one of fastest growing private companies in America! We have a national presence and have no plans to slow down. This is a great opportunity for someone looking to join a company with unlimited growth potential, unparalleled company culture, and a leadership team that invests in you!

• First class compensation
• Generous bonus (historically paid in full!)
• Flexible PTO policy
• Continued Education resources
• Tuition Reimbursement
• Remote or hybrid option
• Unlimited Career Growth Potential and so much more!
• This company gives back to the community and provides free health services to those in need

• The Engineer, AI Solutions will be pivotal in modernizing our financial systems by embedding AI and automation across the accounting organization. The ideal candidate will bring deep technical expertise in data engineering, machine learning, and cloud-native development to help accelerate our Oracle integrations and unlock intelligent automation across financial workflows. This role will lead application development and support the design, build, implementation, modification, and support of a variety of application systems.
• Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and Natural Language Processing (NLP), and Generative AI (GenAI) use cases document understanding, summarization, and chatbots.
• Develop and optimize autonomous AI agents and related workflows, including integration with enterprise systems.
• Guide data labeling strategies and human-in-the-loop feedback for supervised and reinforcement learning models.
• Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG).
• Build and optimize robust data pipelines for large datasets, including data cleaning, transformation, labeling, and feature engineering.
• Design scalable APIs and real-time/batch inferencing services for AI capabilities use across teams and applications.
• Deploy and manage AI models using containerization, orchestration and Machine Learning Operations (MLOps) best practices (CI/CD pipelines on AWS and/or GCP).
• Collaborate with stakeholders to understand business needs, translate into AI solutions, and align with product goals and regulatory constraints.
• Contribute to research and innovation initiatives and evaluate new techniques, tools, and architectures in AI and ML.
• Other duties and responsibilities as assigned.

• Design and deploy AI/ML models for financial forecasting, anomaly detection, intelligent document processing, and workflow automation.
• Manages audits on code and documentation from developers
• Provides technical documentation updates to the latest enhancements or releases
• Develops and uses effective mechanisms to report application development activities
• Manages external vendor relationships with contract administrators to review/negotiate/revise relevant contracts
• Oversees the management of SLAs with vendors and service providers

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

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