Gen AI and Agentic AI Engineer

Infosys is seeking a Gen AI and Agentic AI Engineer in Charlotte, NC onsite to build, deploy, and refine data driven models and analytics solutions, including LLM based approaches, with emphasis on data readiness, governance, and knowledge transfer.

Responsibilities

• Develop data preparation tasks and identify patterns or anomalies to guide modeling efforts.
• Ensure data readiness for advanced modeling through cleaning, validation, and organization of sources.
• Design and implement models for complex use cases such as forecasting and LLM based solutions, refine algorithms to meet business needs, and deploy into scalable, production ready systems.
• Test and optimize algorithms for performance, reliability, and scalability; mentor teammates on best practices.
• Design and develop predictive models and data driven analyses to address business challenges; translate insights into action.
• Build, evaluate, and deploy models; standardize code and contribute to knowledge management and reuse.
• Leverage SAS, R and Python to create reusable customizations for non ML, ML, and deep learning tasks, while enhancing analytics including LLM capabilities and delivering cost effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risk and ensure compliance across analytics initiatives.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards and participate in knowledge transfer sessions.
• Engage with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at the task level within projects.
• Deploy complex analytics tools or multi system integrations, validating deployment success.
• Develop scripts or templates to streamline repeated deployment tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership through papers, proofs of concepts, and exploration of non ML, ML, deep learning or LLM models.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit level business plans.
• Deliver scalable, high quality analytics solutions aligned to business needs.
• Demonstrate a knack for optimization, deployment and performance improvement of models.
• Drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data driven insights.

Technologies

• SAS
• R
• Python

Your contribution to the team

• Deliver scalable, high quality analytics solutions aligned to business needs.
• Demonstrate a knack for optimization, deployment, and performance improvement of models.
• Drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training, and standardization.
• Support business planning with data driven insights.