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