Infosys is seeking an AI/ML & Generative AI Engineer to help clients understand complex business challenges and architect scalable AI solutions using modern cloud platforms.
Requirements
- 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.
- 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.
Responsibilities
- Designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures.
- Collaborating with clients to understand complex business challenges.
- Architecting scalable AI solutions.
- Deploying AI solutions using modern cloud platforms such as Azure ML and GCP AI Services.
- Working on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases.
- Shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
Other
- Candidate must live within commuting distance of Dallas, TX OR Charlotte, NC or be willing to relocate.
- This position may require travel in the US.
- Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
- Strong problem-solving skills and ability to evaluate multiple solution paths.
- Excellent communication and stakeholder management skills.
