AI/ML Engineer

Brooksource; Hopkins (MN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Infosys is recruiting AI/ML engineers to support Optum Health’s Whole Health Solutions program. Hybrid work options available in Hartford, CT or Minneapolis, MN.

The role focuses on building AI-powered health solutions, data pipelines, and scalable AI agents to improve outcomes and efficiency. Responsibilities include designing and deploying AI/ML systems, leveraging Azure services, and collaborating with stakeholders to ensure secure, compliant delivery of advanced analytics and automation

Qualifications

• Experience in AI/ML engineering, software development, or data engineering.
• Hands-on experience with AI/ML concepts and generative AI technologies.
• Experience with Microsoft Azure cloud services.
• Proficiency in at least one backend programming language, such as C#/.NET, Python, or a similar language.
• Experience working with data, developing applications, or building technical solutions.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and implement AI/ML solutions and generative AI applications.
• Build AI agents and intelligent applications that analyze data, identify trends, and support business and healthcare initiatives.
• Develop AI-powered tools such as conversational assistants, intelligent search, summarization, and workflow automation.
• Build and maintain data pipelines and work with large datasets to support analytics and AI initiatives.
• Develop, integrate, and deploy applications using Microsoft Azure and related AI technologies.
• Collaborate with engineering teams and business stakeholders to develop scalable, secure, and reliable solutions.
• Experiment with new machine learning techniques and generative AI architectures.
• Follow enterprise security, data governance, and compliance standards.

Skills

AI/ML engineering

Azure cloud

Backend development

Data engineering

Communication skills

Tools

Azure AI Studio

Databricks

GitHub Copilot

Job description

Location

Hybrid – Hartford, CT 06103 or Minneapolis, MN 55343

Contract Length

Through December 31, 2027, with high likely hood of long-term extension

Position Overview

Infosys is seeking AI/ML Engineers to support Optum Health’s Whole Health Solutions program, focused on developing innovative, AI-powered solutions that help improve health outcomes and optimize healthcare delivery.

This initiative spans preventative wellness, targeted healthcare interventions, and complex health conditions. The team will leverage AI, machine learning, and generative AI to identify trends, analyze healthcare data, build AI agents, and support data-driven decision-making.

Key Responsibilities

• Design, develop, and implement AI/ML solutions and generative AI applications.
• Build AI agents and intelligent applications that analyze data, identify trends, and support business and healthcare initiatives.
• Develop AI-powered tools such as conversational assistants, intelligent search, summarization, and workflow automation.
• Build and maintain data pipelines and work with large datasets to support analytics and AI initiatives.
• Develop, integrate, and deploy applications using Microsoft Azure and related AI technologies.
• Collaborate with engineering teams and business stakeholders to develop scalable, secure, and reliable solutions.
• Experiment with new machine learning techniques and generative AI architectures.
• Follow enterprise security, data governance, and compliance standards.

Required Qualifications

• Experience in AI/ML engineering, software development, or data engineering.
• Hands-on experience with AI/ML concepts and generative AI technologies.
• Experience with Microsoft Azure cloud services.
• Proficiency in at least one backend programming language, such as C#/.NET, Python, or a similar language.
• Experience working with data, developing applications, or building technical solutions.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, or prompt engineering.
• Familiarity with Azure AI Studio, Microsoft 365 Copilot, GitHub Copilot, or other enterprise AI platforms.
• Experience with Databricks, data pipelines, or large-scale data processing.
• Healthcare industry experience.
• Experience building or integrating AI-powered applications.