Senior Gen AI Engineer
| Company | BCBST |
|---|---|
| Location | Chattanooga, TN, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
- 5+ years of relevant work experience in analytics, technology, software engineering, or healthcare (academic experience included), or related equivalent experience.
- 3+ years of hands-on experience specifically with machine learning, deep learning, and preferably Generative AI models (e.g., LLMs, diffusion models) is required.
- Proven experience handling large, complex datasets to build and optimize sophisticated data science pipelines.
- Deep experience with Machine Learning, Deep Learning frameworks (e.g., Pytorch, TensorFlow), Natural Language Processing (NLP), and associated libraries (e.g., Hugging Face Transformers).
- Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS SageMaker or Azure ML acceptable).
- Expert proficiency in Python and relevant data science/ML libraries.
Responsibilities
- Lead the ideation, development, and productionalization of sophisticated Generative AI solutions tailored for healthcare payer use cases.
- Architect, design, and implement complex, state-of-the-art Generative AI models and algorithms, leveraging Python and cloud platforms like GCP Vertex AI.
- Partner strategically with product teams and business stakeholders to define and prioritize opportunities for applying advanced Generative AI techniques to solve critical business challenges and drive process automation.
- Conduct in-depth research and maintain expertise in the latest advancements in Generative AI, championing the adoption of cutting-edge techniques and methodologies within the team.
- Architect and develop robust, scalable, and efficient systems and code bases for deploying Generative AI models into production environments, ensuring high availability and performance.
- Serve as a key technical advisor to our internal Lines-of-Businesses, understanding complex needs, gathering requirements, and translating them into impactful, actionable AI solutions.
- Define and oversee the evaluation and validation frameworks for Generative AI models, ensuring their accuracy, reliability, fairness, and performance exceed business requirements.
- Mentor and guide junior engineers on best practices in AI development, model implementation, and system design.
Preferred Qualifications
- Master’s or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred.