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Humana

Sr AI Engineer - Data

Reposted 2 Days Ago
In-Office
New York, NY, USA
118K-162K Annually
Senior level
In-Office
New York, NY, USA
118K-162K Annually
Senior level
As a Senior Data Engineer, you will build the Agentic AI platform, develop APIs, manage data pipelines, and support data science projects, focusing on large datasets and advanced technologies.
The summary above was generated by AI
Become a part of our caring community and help us put health first
 
As a Senior AI/Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions. You’ll work with large-scale datasets and state-of-the-art tools to address complex business problems. This role involves close collaboration with data scientists and fellow engineers across the entire AI development lifecycle—from data ingestion to deployment and monitoring.

Role and Responsibilities:

  • Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.

  • Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.

  • Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.

  • Assist our data science team in the development and deployment of traditional machine learning models.

  • Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.

  • Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.

  • Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.


Use your skills to make an impact
 

Required Qualifications:

  • Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR

  • 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).

  • Hands-on, relevant experience with generative AI frameworks such as Langchain or Pydantic AI.

  • Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.

  • 3+ years of experience with containerization (e.g., Docker, Kubernetes).

  • 3+ years of experience with CI/CD tools, pipelines

  • 3+ years of experience with PySpark.

  • 2+ years of experience working on any cloud platform. (Azure / GCP / AWS)

  • Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Experience working with Large Language Model (LLM) in application development.

Highly Desired Qualifications:

  • Master's Degree in a similar field with at least 5 years of relevant experience.

  • Experience with version control systems (e.g., Git) and software development best practices.

  • Excellent problem-solving skills and ability to work in a collaborative environment.

  • Experience deploying software using tools like Docker and Kubernetes.

  • Experience with deep learning techniques and frameworks.

  • Experience working with any nosql DBs.

  • Knowledge of natural language processing (NLP).

  • Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).

**This is a HYBRID office position requiring an in-office presence 3 days/wk in one of the following locations: Dallas, TX, Tampa, FL, Washington DC, Boston, MA, NYC, New York, or Louisville, KY.

You must reside within commutable distance or be willing to relocate to our offices located in these areas.

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.


 

$117,600 - $161,700 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.


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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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.

Top Skills

AWS
Azure
Ci/Cd
Docker
Fastapi
Flask
GCP
Hadoop
Kafka
Kubernetes
Langchain
NoSQL
Numpy
Pandas
Pydantic Ai
Pyspark
Python
PyTorch
Scikit-Learn
Spark
TensorFlow

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