Gen AI Engineer

The Gen AI Engineer role at Infosys is an onsite position in Dallas, TX, focused on preparing data, building and deploying predictive models (including forecasting and LLM based solutions), and ensuring data readiness, governance, and knowledge sharing across projects.

Responsibilities

• Create data preparation workflows and identify patterns or anomalies within datasets to support modeling efforts.
• Ensure data readiness for advanced modeling tasks and analyses.
• Build models for complex use cases such as forecasting and LLM based solutions, refine algorithms to meet business requirements, and deploy them into scalable, production ready solutions.
• Test and optimize algorithms for performance, reliability, and scalability, while guiding teammates on best practices.
• Design and implement predictive models and data driven analyses to address business challenges.
• Construct, evaluate, and deploy models; standardize code and contribute to knowledge management efforts.
• Utilize SAS and R/Python to create reusable customizations across non-ML, ML, and deep learning workflows, enhance analytics including LLMs, and deliver innovative, cost effective solutions.
• Define analytics problems for projects and perform visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements to improve accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, propose 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 model implementation.
• 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 developing scripts or templates for repeated deployment tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Support thought leadership through papers and proofs of concept across non-ML, ML, deep learning, or LLM models.
• Deliver analytics training and contribute 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 ongoing performance improvement of models.
• Drive innovation through advanced analytics, automation, and thought leadership.
• Foster team growth through knowledge sharing, training, and standardization.
• Support business planning with data driven insights.

Technologies

• SAS
• R
• Python

Your Contribution to the Team

• Provide scalable, high quality analytics solutions aligned to business objectives.
• Demonstrate capability in optimizing, deploying, and improving model performance.
• Drive innovation through advanced analytics, automation, and thought leadership.
• Foster team growth through knowledge sharing, training, and standardization.
• Support business planning with data driven insights.