GenAI & Agentic AI Engineer: Build Scalable AI Solutions

Infosys Limited; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Disability insurance

Health & Dep Care Reimbursement

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys DNA invites a Data Science Consultant 2 to drive end‑to‑end analytics initiatives in Dallas, applying Generative AI, LLMs, and agentic frameworks. You will build data pipelines, develop predictive models, and deploy scalable solutions across cloud environments.

The role emphasizes collaboration with stakeholders, governance, and knowledge sharing to enable data‑driven decision making. Strong ML deployment and Big Data experience are valued.

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

Responsibilities

• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM‑based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production‑ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• 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 tools like SAS and R/Python to create reusable customizations for non‑ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, 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 risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi‑system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non‑ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit‑level business plans.

Skills

Azure

GCP

Generative AI

LLMs

Agentic AI

Python

Rest API

MCP

LangChain

Education

Bachelor's degree

Tools

SAS

R

BigQuery

Hadoop

SageMaker

Snowflake

Job description

Infosys DNA invites a Data Science Consultant 2 to drive end‑to‑end analytics initiatives in Dallas, applying Generative AI, LLMs, and agentic frameworks. You will build data pipelines, develop predictive models, and deploy scalable solutions across cloud environments.

The role emphasizes collaboration with stakeholders, governance, and knowledge sharing to enable data‑driven decision making. Strong ML deployment and Big Data experience are valued.