Lead AI Platform Engineer - NLP Platform

Profile

Description

Humana drives innovation to create artificial intelligence, machine learning, and data-driven platforms, products, and services for the entire organization. The Artificial Intelligence Engineering team is crucial for enabling and empowering Natural Language Processing (NLP) data scientists and business groups such as Pharmacy, Benefits & Claims processing with innovative software solutions and technologies on Azure.

The Lead AI Platform Engineer will work with the product owner, data scientists, NLP specialists, analysts, business, and IT teams. In addition, the Lead AI Platform Engineer leads the designing, implementing, and deploying of NLP Platform application services using Python, Kubernetes, Message Queues, and other open-source software available for processing unstructured and streaming data.

Some examples of the team's innovation in collaboration with the Data Science team include:


Analyzing customer calls using NLP to extract features for use in Machine Learning and predictive models
Performing OCR and NLP on images to match faxed medical records with patient authorizations to deliver more effective healthcare
Using BERT-based language embedding technologies to improve the performance of NLP models
Deploying NLP models that analyze social worker, nurse, and physician notes to find evidence of social needs, to feed predictive models used to rank patients most likely to show conditions like food insecurity


Responsibilities

Key Responsibilities


Technical leadership for a small team of engineers to design, develop, and deliver backend NLP Platform applications, scalable document processing pipelines using Python, Kubernetes, NoSQL database, Redis, Azure Service Bus on Azure Cloud with microservices architecture
Lead development of API-based system-to-system synchronous and asynchronous integrations to integrate Humana Claims Management, and Pharmacy with NLP document processing pipelines
Wrap machine learning models created by data scientists as microservices to integrate into NLP pipelines
Partner with the product owner to understand the problem to be solved, explore solutions options, and identify the optimal solution. Collaborate with the product owner to scope and breakdown the solution into meaningful product backlog for development
Oversee the technical design, implementation plans, code, CI/CD automated tests, and documentation
Approve pull requests, perform peer code reviews, and peer testing/QA for product owner acceptance
Co-own technology roadmap, prioritized technical debt, and maintain high-level design documents with peer leads
Lead tier-1/2 engineering support to troubleshoot and resolve critical customer escalations on functional, technical, stability, and performance issues
Collaborate and work in a fast-paced agile environment, closely interacting with business and some of the industry's best software engineers, machine learning scientists, data engineers, and data scientists
Collaborate and influence peer architects with knowledge-sharing sessions. Training and mentoring engineers


Required Experience Skills and Qualifications


Bachelor's Degree or above in computer science or engineering
6-8 years of enterprise software development experience, with significant server-side Python experience using microservices and serverless architecture
3 years of data modeling and database development experience with any one of SQL Server, Oracle, MySQL, PostgreSQL, Cassandra, RedShift, or MongoDB
3 years of experience with backend synchronous and asynchronous API development experience for system-to-system integrations
2 years of experience with deploying server-side backend applications on Kubernetes clusters in Azure or AWS, or GCP cloud
DevOps -- hands-on experience with modern CI/CD automation eco-systems such as Azure DevOps and pipelines, Terraform
Solid knowledge of data structures, algorithms, and design patterns
Willingness to learn modern technologies and understand unfamiliar data domains and new business processes quickly
CI/CD and test automation


Desirable Experience Skills and Qualification


Experience in data engineering, ETL, and data analytics

Experience in Node.js, server-side JavaScript, Java, Go, or other back-end languages

Experience in health care or financial services industry handling PHI/PII/PFI data
Open-source contributions and portfolio of shipped code at GitHub
Prior experience designing and building NLP APIs and services for unstructured data processing
Introduction to basic NLP/ML/AI concepts for computer vision, image processing, and NLP applications


Scheduled Weekly Hours

40

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ****

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