Excellus BCBS

AI Engineer I/II

Rochester, New York, United States of America · Mid · Internship

Sponsorship not specifiedDetected 44 days ago

AlgorithmsCode ReviewSQLDatabricksAWSAzureCI/CDMachine LearningSparkData EngineeringNLPLLMsLLMOpsMLOpsRecruitingLeadershipProblem SolvingMentoring

About the role

In this role, you will work on high-impact projects involving advanced ML techniques, including large language models (LLMs) and generative AI.
Participates in peer code reviews and follows best practices for software development in AI.
Level II (in addition to Level I accountabilities): Contributes to the AI/ML model lifecycle, ensuring reproducibility, scalability, and maintainability of solutions.

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.
Collaborates with Operations and CI/CD teams to improve AI model deployment pipelines and monitoring strategies.
You'll have the opportunity to experiment with state-of-the-art algorithms, push the boundaries of AI capabilities, and contribute to innovative solutions that drive real-world value.
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.

Level I: Bachelor's degree required
in lieu of a degree, six (6) years of relevant experience required.
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).
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.
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.
Hands-on professional experience developing ML models for real-world applications.
Familiarity with CI/CD and ML Ops/ LLM Ops principles to collaborate effectively with deployment teams.
Significant professional experience and knowledge in AI/ML engineering with a track record of developing models at scale.
Advanced understanding of AI model lifecycle management, governance, and operationalization.
Strong ability to engage with executives and business leaders to drive AI strategy.

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.
Engages in continuous learning and shares knowledge on new ML techniques and best practices.

Level I Min - 65,346 Max - 117,622 Level II Min - 79,068 Max - 142,322 The salary range indicated in this posting represents the minimum and maximum of the salary range for this position.
Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity.
The posted salary range reflects just one component of our total rewards package.
Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team.
This decision is made on a case-by-case basis.
One I.D.E.A. One you.

Employer Compensation Range(s): Level I Min - 65,346 Max - 117,622 Level II Min - 79,068 Max - 142,322 The salary range indicated in this posting represents the minimum and maximum of the salary range for this position.
Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity.
The posted salary range reflects just one component of our total rewards package.
Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

This listing is sourced directly from Excellus BCBS's careers page and normalized into a canonical job model.