Senior Gen AI Engineer

BlueCross BlueShield of Tennessee is hiring a Senior Generative AI Engineer. In this fully remote role, you'll be leading the design, development, and deployment of cutting-edge Generative AI solutions to address complex challenges within the healthcare payer domain. If you excel at driving technical strategy, mentoring junior team members, and ensuing the robustness and scalability of AI systems, we hope you’ll apply.
 

Note: This position is not eligible for sponsorship.

Job 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.

Job Qualifications

Education

• Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
• Master’s or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred.

Experience

• 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).

Skills/Certifications

• Expert proficiency in Python and relevant data science/ML libraries.
• Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint).
• Proven ability to architect, design, and implement complex systems. Demonstrated success leading technically challenging projects from conception through to deployment.
• Exceptional ability to interpret and translate complex technical concepts into information meaningful to project team members, business personnel, and leadership.
• Strong technical leadership and mentorship capabilities.
• Must be able to communicate effectively and influence both technical and non-technical co-workers and stakeholders.
• Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.

Number of Openings Available:

1

Worker Type:

Employee

Company:

BCBST BlueCross BlueShield of Tennessee, Inc.

Applying for this job indicates your acknowledgement and understanding of the following statements:

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