Sr GenAI Data Engineer

Humana; United States; Remote; USD 106,000 - 147,000; Full time

Job summary

Join a forward-thinking team dedicated to transforming healthcare through Generative AI. As an Engineer, you will develop innovative applications that enhance member experiences and boost productivity. Work with cutting-edge technologies within the Azure ecosystem, including Azure OpenAI and Kubernetes. Collaborate with data scientists to optimize performance and drive strategic initiatives. This is an exciting opportunity to influence the future of healthcare technology while being part of a caring community that prioritizes health and well-being. Apply today and make a difference!

Benefits

Medical benefits

Dental benefits

Vision benefits

401(k) retirement plan

Paid time off

Short-term disability

Long-term disability

Life insurance

Qualifications

• Minimum 5 years of experience in Python programming and 2 years in Azure ecosystem.
• Experience with Generative AI technologies and strong collaboration skills.

Responsibilities

• Develop applications leveraging Generative AI for enhanced member experience.
• Collaborate with data scientists to integrate AI models into applications.

Skills

Python programming

Generative AI technologies

Collaboration

Performance optimization

Communication skills

Adaptability to new technologies

Education

Bachelor's degree in Computer Science

Master's degree in a related field

Tools

Azure OpenAI

Azure Databricks

Azure Data Lake Store

Kubernetes

Azure DevOps

Git

MongoDB

Job description

Become a part of our caring community and help us put health first
We are seeking a talented and experienced Engineer to join our forward-thinking team. In this role, you will play a critical part in building Generative AI applications that significantly enhance our member experience and internal associate productivity. You will build Generative AI applications alongside data scientists, utilizing both hosted and local GenAI Large Language Models (LLMs) to deliver scalable and high-performance solutions. Your work will directly influence our strategies and the way we serve our members and associates. Join us in transforming healthcare through the power of Generative AI and advanced data solutions!

This team is working on building Gen AI applications that will have direct impact to our member experience. We are utilizing the latest technology that helps us iterate fast and validate our assumptions quickly. If you are interested in becoming part of our high-performing team, apply today!

At Humana, our AI and Machine learning development is done within the Azure ecosystem of data services. Our stack includes components like Azure OpenAI, Azure Databricks, Azure Data Lake Store, EventHub, Azure Synapse, Kubernetes, and Azure DevOps. Python is the language of choice on this team and allows for quick pivots between tasks like model inference microservice development and PySpark streaming jobs.

Key Responsibilities:

• Application Development: Collaborate with data scientists and stakeholders to develop applications that effectively process data and leverage GenAI LLMs, ensuring scalability and high performance.

• Model Integration: Work with Generative AI models and technologies such as Azure OpenAI, Langfuse, LangGraph, and Kubernetes to integrate these models into our applications for enhanced functionality.

• Cross-Functional Collaboration: Engage with product managers, data scientists, and other engineering teams to understand requirements and deliver technical solutions that meet business objectives.

• Performance Optimization: Continuously monitor, evaluate, and optimize the performance of applications, implementing best practices in observability and monitoring for both application and model performance.

• Innovation and Strategy Influence: Develop software tools that utilize GenAI, machine learning, and big data techniques to transform data into actionable insights, influencing Humana’s strategy and direction.

• Documentation and Best Practices: Maintain clear documentation of engineering processes and promote best practices within the team to ensure knowledge sharing and consistency.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; Master’s degree preferred.

• Experience:

  • Minimum of 2 years of experience in the Azure ecosystem.

  • At least 5 years of experience in Python programming.

  • Proven experience with Generative AI technologies such as Azure OpenAI, Langfuse, Langgraph, Agentic workflows or similar tools.

• Technical Skills:

  • Strong knowledge of distributed version control systems (e.g., Git).

  • Experience in designing and building distributed system architectures.

  • Familiarity with tools and technologies including EventHub, Kafka, Kubernetes, Azure DevOps and MongoDB.

• Soft Skills:

  • Exceptional verbal and written communication skills with a strong emphasis on collaboration and follow-up.

  • Ability to learn new technologies quickly and validate assumptions through rapid proofs of concept.

Work-At-Home Requirements

• WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.

• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.

• Satellite and Wireless Internet service is NOT allowed for this role.

• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Scheduled Weekly Hours: 40

Pay Range: The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $106,900 - $147,000 per year. This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits: Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 04-23-2025
About us:
Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer: It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.