Position Title

Sr Software Engineer III - AI (IND)

Job Family

IFT > Engineering /Dev

Shift

Job Description:

About Elevance Health

Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 112 million lives across 14 states.

A regular in Fortune 500 list, Elevance Health ranked 20 in 2022. Gail Boudreaux, President and CEO of Elevance Health has been a consistent name in the Fortune list of most powerful women and currently holds 4th rank on this list.

About Carelon

Carelon Global Solutions (CGS) is a healthcare solutions company that is simplifying complex operational processes to improve the health of the healthcare system.

Previously known as Legato Health Technologies, Carelon Global Solutions (hereinafter, CGS) underwent a name change and joined the Carelon family of brands in January 2023, as a fully owned subsidiary of Elevance Health (Previously Anthem Inc.). CGS brings together a global team of like-minded innovators who manage and optimize operational processes for health plans as well as providers.

Our brightest minds housed across our global headquarters in Indianapolis as well as Bengaluru, Hyderabad and Gurugram in India, Manila in the Philippines, Limerick in Ireland and San Juan in Puerto Rico bring with them innovative capabilities and an unmatched depth of experience. This global team uniquely positions CGS to enable scalable, next-generation platforms and specialized digital tools that make healthcare operations more practical, effective and efficient.

OUR MISSION & VALUES

Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More.

Our Values: Leadership | Community | Integrity | Agility | Diversity

JOB POSITION

JOB RESPONSIBILITY

Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions.
Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.
Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.
Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.
Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management.
Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows.
Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.
Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.
Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.
Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC.
Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.
Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.
Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions.
Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.
Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.

QUALIFICATION

Minimum education: Bachelor's degree in any Engineering Stream

Specialized training, certifications, and/or other special requirements: Nice to have

Preferred education: Computer Science/Engineering.

Experience

Minimum relevant experience - 6+ years in AI Engineering

Skills And Competencies

Preferred total experience – 8 years

Technical Skills

Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
Experience with big data processing using Spark for large-scale data analytics
Version control and experiment tracking using Git and MLflow
Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.
LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
Experience in creating LLD for the provided architecture.
Experience working in microservices based architecture.

Domain Expertise

Strong mathematical foundation in statistics, probability, linear algebra, and optimization
Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation
Expertise in feature engineering, embedding optimization, and dimensionality reduction
Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
Experience with RAG systems, vector databases, and semantic search implementation
Proficiency in LLM optimization techniques including quantization and knowledge distillation
Understanding of MLOps practices for model deployment and monitoring

Professional Competencies

Strong analytical thinking with ability to solve complex ML challenges
Excellent communication skills for presenting technical findings to diverse audiences
Experience translating business requirements into data science solutions
Project management skills for coordinating ML experiments and deployments
Strong collaboration abilities for working with cross-functional teams
Dedication to staying current with latest ML research and best practices
Ability to mentor and share knowledge with team members

THE CARELON PROMISE

Aligning with our brand belief of limitless minds are our biggest asset, we offer a world of limitless opportunities to our associates.

It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate.

This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging.

LIFE @ CARELON

Extensive focus on learning and development
An inspiring culture built on innovation, creativity, and freedom.
Holistic well-being
Comprehensive range of rewards and recognitions
Competitive health and medical insurance coverage
Best-in-class amenities and workspaces
Policies designed with associates at the center.

EQUAL OPPORTUNITY EMPLOYER

Carelon is committed to a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

Reasonable Accommodation

Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work.

If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form.

Job Type

Full time