Gen/Agentic AI Engineer

Infosys seeks a Gen/Agentic AI Engineer to design, validate, and implement data-driven analytics and AI models, including forecasting and LLM-based solutions, with a focus on data readiness, governance, and stakeholder collaboration, onsite in Irving, Texas.

Responsibilities

• Develop data preparation workflows and identify patterns or anomalies within datasets.
• Ensure data readiness for advanced modeling tasks and analytical work.
• Construct models for complex use cases such as forecasting and LLM-based solutions, refine algorithms to meet business needs, and deploy them into scalable production-ready systems.
• Test and optimize algorithms for performance, reliability, and scalability, while guiding teammates on best practices.
• Design and deliver predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models; standardize code practices and contribute to knowledge management.
• Leverage SAS, R, and Python to create reusable customizations across non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs and creating innovative, cost-effective solutions.
• Define analytics problems for projects and execute visualization, analysis, and predictive modeling under guidance.
• Proactively monitor models and implement improvements to maintain accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation 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 and validate deployment success.
• Contribute to scripts or templates for repeated deployment tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership through papers, proofs of concept, and innovations across ML, non-ML, deep learning, or LLM domains.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.

Technologies

• SAS
• R
• Python

Your contribution to the team

• Deliver scalable, high-quality analytics solutions aligned with business needs.
• Drive optimization, deployment, and performance improvements for models.
• Support innovation through advanced analytics, automation, and thought leadership.
• Enhance team capabilities via knowledge sharing, training, and standardization.
• Provide data-driven insights to support business planning and strategic decisions.