AI/ML Engineer / Generative AI Engineer

Job Details Job Title:

AI/ML Engineer / Generative AI Engineer Location:

Indianapolis, IN Duration:

6 months GBaMS ReqID:

10937381 Essential / Digital Skill:

Artificial Intelligence (AI) Experience Required:

4-6 years Role Summary

Design, engineer, and implement

enterprise-scale AI/ML and Generative AI solutions

for clinical data workflows. Deliver secure and scalable AI architectures independently. Maintain accountability for project delivery and technical excellence. Develop solutions supporting clinical data workflows and enterprise AI initiatives. Key Responsibilities

Conceive, design, and implement AI solutions. Analyze business and technical workflows and develop innovative technical approaches. Design secure and scalable architectures for:

AI/ML Generative AI Agentic AI solutions

Design and implement emerging AI technologies, including:

Retrieval-Augmented Generation (RAG) Agentic workflows Agent-to-agent communication

Build and deploy predictive analytics and Generative AI solutions into production. Develop robust:

Data pipelines Model pipelines APIs Integration layers

Establish and implement

AI/MLOps best practices . Implement:

CI/CD pipelines Monitoring Observability

Own project scope and delivery accountability. Ensure AI solutions meet enterprise security, scalability, and reliability requirements. Required Qualifications

Bachelor's degree in:

Computer Science Engineering Mathematics Statistics Related field

Equivalent professional experience may be considered. 5+ years

of software, data, or ML engineering experience. 3+ years

of experience deploying ML solutions into production. Strong experience with AWS, Databricks, Python, PySpark, and DevOps technologies. AWS Technologies

Amazon SageMaker Amazon EC2 Amazon S3 AWS Lambda Amazon RDS AWS Glue Amazon Athena Amazon DynamoDB PostgreSQL Databricks Technologies

Databricks Platform Delta Lake Apache Spark MLflow Databricks SQL Programming & Data

Python PySpark SQL Apache Spark DevOps & Infrastructure

Git CI/CD Docker Kubernetes Infrastructure as Code (IaC) Terraform CloudFormation AI & Data Technologies

Generative AI frameworks Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI Agent-to-agent communication Vector Databases Predictive Analytics Machine Learning AI/MLOps Key Skills / Keywords

Artificial Intelligence (AI) Machine Learning Generative AI Agentic AI LLMs RAG Vector Databases AWS SageMaker Databricks Delta Lake Spark MLflow Python PySpark SQL CI/CD Docker Kubernetes Terraform CloudFormation MLOps Clinical Data Workflows Predictive Analytics