Infosys is seeking an AI/ML & Generative AI Engineer to collaborate with clients to understand complex business challenges and architect scalable AI solutions, including Large Language Models (LLMs) and Agentic AI architectures, deploying them 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.
- Hands-on experience with vector databases and RAG pipelines.
Responsibilities
- Designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures.
- Architect scalable AI solutions.
- Deploying 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.
- Experience with API Gateway development and deployment on Azure/GCP.
- Hands-on experience with vector databases and RAG pipelines.
Other
- Candidate must live within commuting distance of Boston, MA 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.
