What are the responsibilities and job description for the GenAI Engineer- Python position at Infosys and Careers?
Infosys is seeking an AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as Azure ML and GCP AI Services.
This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
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.
- Candidate must live within commuting distance of Charlotte, NC or be willing to relocate. This position may require travel in the US.
- At least 4 years of experience in Information Technology
- Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
- At least 4 years of experience in Python programming, including OOPs, data structures (queues, stacks, linked lists), and API development.
- At least 3 years of experience in Big Data technologies (e.g., BigQuery, Hadoop).
- At least 2 years of experience in cloud platforms (Azure, GCP) and their AI/ML services.
- At least 2 years of experience in ML model development, data engineering, and software engineering principles.
- At least 3 years of experience in MLOps and AI/ML deployment (e.g., SageMaker, Snowflake).
- At least 2 years of hands-on experience in Generative AI, LLMs, and agentic frameworks.
Preferred Qualifications:
- Experience with API Gateway development and deployment on Azure/GCP.
- Hands-on experience with vector databases and RAG pipelines.
- Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
- Strong problem-solving skills and ability to evaluate multiple solution paths.
- Excellent communication and stakeholder management skills.
- Domain expertise in Banking, Finance, or Capital Markets is a plus.