Senior AI Architect & Enterprise AI Leader

Infosys; Atlanta (GA); On-site; USD 154,375 - 193,125; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

Health and Dependent Care Reimburse.

401(k) plan

Paid holidays plus PTO

Job summary

Infosys Consulting is a next-generation partner that bridges strategy and execution with an AI-first mindset. Our teams deliver enterprise AI, ML, and automation engagements across industries, combining deep industry knowledge with technology consulting.

This role emphasizes leadership, delivery excellence, and scalable AI architectures in cloud and hybrid environments. Candidate should have strong Python skills and hands-on experience with TensorFlow/PyTorch, cloud AI services, data pipelines,

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or a related field.
• 10+ years of relevant work experience with at least 2 years in comparable consulting services.
• U.S. and Canadian citizens or those authorized to work in the U.S./Canada preferred; Infosys will not sponsor H-1B at this time.

Responsibilities

• Lead client delivery teams and manage projects to completion.
• Mentor consultants on delivery teams and develop their skills.
• Establish focus areas, contribute thought leadership, and grow the focus area with IP development.
• Collaborate across practice and firm-building activities; engage in sales support and opportunity identification.

Education

Bachelor’s degree in computer science, Engineering, Data Science, or a related field

Tools

AWS

Azure

GCP

LangChain

LlamaIndex

Semantic Kernel

Retrieval-Augmented Generation

Job description

Infosys Consulting is a next-generation partner that bridges strategy and execution with an AI-first mindset. Our teams deliver enterprise AI, ML, and automation engagements across industries, combining deep industry knowledge with technology consulting.

This role emphasizes leadership, delivery excellence, and scalable AI architectures in cloud and hybrid environments. Candidate should have strong Python skills and hands-on experience with TensorFlow/PyTorch, cloud AI services, data pipelines,