Generative & Agentic AI Engineer

Infosys; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Infosys is hiring a Data Science Consultant 2 to join the DNA unit in Dallas. You will develop data preparation tasks, build predictive models, and deploy ML/LLM-based solutions. The role emphasizes data readiness, governance, and collaboration with stakeholders to refine requirements.

You will work with cloud platforms (Azure, GCP), apply governance controls, and contribute to IP assets while advancing analytics capabilities across the organization.

Qualifications

• Experience in cloud platforms (Azure, GCP) and their AI/ML services.
• Experience in Generative AI, LLMs, and agentic frameworks.
• Experience in Agentic AI, Python Full stack, Rest API, MCP, Lang Chain.
• Bachelor's degree or foreign equivalent required from an accredited institution.
• Willingness to relocate and/or travel to work/project location.
• Candidates authorized to work in the United States without employer sponsorship are welcome to apply.

Responsibilities

• Develop data preparation tasks, identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases, including forecasting and LLM-based solutions, and deploy them into production-ready systems.
• Conduct testing and optimize algorithms for performance, reliability, and scalability.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage SAS and R/Python to create reusable customizations for ML and non-ML solutions, including LLM enhancements.

Skills

Cloud platforms

Gen AI & LLMs

Agentic AI

Python Full Stack

Rest API

LangChain

Education

Bachelor's degree or equivalent

Tools

SageMaker

Snowflake

BigQuery

Hadoop

CI/CD

Job description

Infosys is hiring a Data Science Consultant 2 to join the DNA unit in Dallas. You will develop data preparation tasks, build predictive models, and deploy ML/LLM-based solutions. The role emphasizes data readiness, governance, and collaboration with stakeholders to refine requirements.

You will work with cloud platforms (Azure, GCP), apply governance controls, and contribute to IP assets while advancing analytics capabilities across the organization.