Gen/Agentic AI Engineer

Infosys; Town of Florida (NY); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays

Paid Time Off

Disability - long/short term

Health & Dependent Care Reimbursement

Insurance (Accident, Critical Illness,

Job summary

Infosys is hiring a Data Science Consultant 2 to drive data-driven decision making. You will develop data prep tasks, build forecasting models, and deploy production-ready analytics solutions using Python, PyTorch/TensorFlow, and LLM tooling.

Collaborate with stakeholders, ensure data quality, and advance AI initiatives with governance and scalable deployments. The role emphasizes model governance, performance optimization, and knowledge transfer in a dynamic Infosys DNA environment in the

Qualifications

• Hands-on with a major ML framework (PyTorch/TensorFlow/Keras).
• Familiarity with LLMs, prompt engineering and fine-tuning.
• Exposure to RAG and hybrid search techniques.
• Understanding of model deployment and containerization (Docker).
• Proficiency in Python for AI development and scripting.
• Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex).
• Version control (Git) basics and collaboration in teams.
• Awareness of AI compliance, data privacy, and responsible AI.

Responsibilities

• Develop data preparation tasks and identify patterns or anomalies.
• Ensure data readiness for advanced modeling and forecasting.
• Build models for complex use cases and deploy to production.
• Test and optimize algorithms for performance and reliability.
• Design predictive models and data-driven analyses to address business challenges.
• Evaluate, deploy, and standardize model code; contribute to knowledge base.
• Leverage SAS/R/Python tools to create reusable analytics solutions.
• Collaborate with stakeholders to refine requirements and guide implementation.

Skills

PyTorch

TensorFlow

Keras

LLMs and prompt engineering

Fine-tuning (LoRA/QLoRA)

RAG systems & hybrid search

Python for AI development

generative AI tools (LangChain, Huggin

Education

Bachelor’s degree or foreign equivalent; substitution with 3 years of progressive experience

Tools

Docker

Git

LangChain

Hugging Face

LlamaIndex

Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data‑driven decision‑making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting‑edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:

• 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.

Your contribution to the team:

• Deliver scalable, high‑quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to 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.

Required Skill and Experience

• Hands‑on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras).
• Familiarity with LLMs, prompt engineering, and fine‑tuning (e.g., LoRA, QLoRA).
• Exposure to RAG systems and basic knowledge of hybrid search techniques.
• Understanding of model deployment and containerization (Docker).
• Proficiency in Python for AI development, data preprocessing, and scripting.
• Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
• Understanding of version control systems (Git).
• Awareness of AI compliance, data privacy, and responsible AI principles.

Preferred Skill and Experience

Experience in Big Data technologies (e.g., BigQuery, Hadoop), ML model development, data engineering, and software engineering principles. Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.

Additional Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

EEO/About Us

Benefits

Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• Long‑term/Short‑term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

About Us Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.