Excellus BCBS · 9 hours ago
AI Engineer I/II/III
DeWitt, NY
Full-time
Hybrid
Entry, Mid, Senior Level
$98K/yr - $177K/yrExcellus BCBS is seeking an AI Engineer to join their collaborative team focused on developing advanced machine learning and AI models. The role involves solving complex business challenges, improving member health outcomes, and contributing to innovative AI solutions using state-of-the-art algorithms.
Health CareHealth InsuranceNon Profit
Responsibilities
Develops Artificial Intelligence and Machine Learning solutions to solve business problems and improve member health outcomes, incorporating (but not limited to): Large language models (LLMs) and generative AI applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems
Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling
Collaborates with data engineering teams to acquire, clean, and prepare data for model training
Supports model evaluation, testing, and performance monitoring in pre-production environments
Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models
Understands ML Operations principles and collaborates with CI/CD and ML Operations engineers for model deployment and monitoring
Participates in peer code reviews and follows best practices for software development in AI
Stays up to date with industry trends and new developments in AI/ML
Develops and refines prompt engineering techniques for optimizing interactions with LLMs and generative AI applications
Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies’ mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs
Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures
Regular and reliable attendance is expected and required
Performs other functions as assigned by management
Contributes to the AI/ML model lifecycle, ensuring reproducibility, scalability, and maintainability of solutions
Works with stakeholders to translate business objectives into AI/ML formulations and measurable success criteria
Optimizes and fine-tunes ML models for performance, explainability, and efficiency
Develops solutions using large language models (LLMs) and generative AI frameworks
Supports the integration of AI models with enterprise applications, APIs, or data pipelines
Engages in continuous learning and shares knowledge on new ML techniques and best practices
Enhances team efficiency through the adoption of automation tools for model training, evaluation, and monitoring
Leads the discovery and solutioning process, working with company stakeholders to identify high-impact AI opportunities
Designs and implements scalable AI architectures that integrate with enterprise systems and support business operations
Leads initiatives related to large language models (LLMs) and generative AI, ensuring alignment with business needs
Mentors junior team members and fosters a culture of engineering excellence
Collaborates with Operations and CI/CD teams to improve AI model deployment pipelines and monitoring strategies
Recommends and influences best practices for AI model governance, versioning, and compliance
Engages with leadership and cross-functional teams to align AI strategies with business goals
Qualification
Required
Bachelor's degree required; in lieu of a degree, six (6) years of relevant experience required
Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant coursework
Basic understanding of fundamental ML concepts, algorithms, and statistical techniques
Basic experience working with databases, SQL, and data manipulation
Strong problem-solving skills and a willingness to learn
Hands-on professional experience developing ML models for real-world applications
Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ML)
Intermediate knowledge of model performance monitoring and optimization techniques
Experience working with large-scale data pipelines and distributed computing frameworks (e.g., Spark)
Familiarity with CI/CD and ML Ops/ LLM Ops principles to collaborate effectively with deployment teams
Experience working with large language models (LLMs) and generative AI technologies
Ability to present clear and concise technical concepts to both technical and non-technical stakeholders
Significant professional experience and knowledge in AI/ML engineering with a track record of developing models at scale
Advanced proficiency in AI/ML model architecture, optimization, and explainability techniques
Advanced experience integrating AI solutions with business applications and APIs
Extensive experience working with large language models (LLMs) and generative AI in production environments
Advanced understanding of AI model lifecycle management, governance, and operationalization
Leadership experience in mentoring and guiding AI engineering best practices
Strong ability to engage with executives and business leaders to drive AI strategy
Ability to orally communicate
Must be able to travel across the enterprise
Ability to work in a home office for continuous periods of time for business continuity
Benefits
Participation in group health and/or dental insurance
Retirement plan
Wellness program
Paid time away from work
Paid holidays
Company
Excellus BCBS
Excellus BlueCross BlueShield, a nonprofit independent licensee of the BlueCross BlueShield Association, is part of a family of companies that finances and delivers vital health care services to about 1.5 million people across upstate New York.
Founded in 1932
5001-10000 employees
H1B Sponsorship
Excellus BCBS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (18)
2023 (12)
2022 (15)
2021 (17)
2020 (20)
Funding
Current Stage
Late StageLeadership Team
Jeremy Donath
Director, Provider Reimbursement Analytics & Operations
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