AI/ML Data Architect for Telecom | RAG & Cloud

Infosys Limited; Basking Ridge (NJ); On-site; USD 112,725 - 146,543; Full time

Benefits offered by this job

Disability insurance

Health & dependent care accounts

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys Limited is seeking an AI Engineering Architect to design AI/ML solutions and scalable architectures for telecom and network inventory planning. You will drive architectural decisions, evaluate technologies, and collaborate across client teams to deliver high-impact projects.

The role emphasizes data-first engineering, real-time value visibility, and leveraging AI/ML, with relocation/travel as needed and US work authorization supported.

Qualifications

• Experience in AI/ML & Generative AI.
• Data Architecture expertise.
• RAG (Retrieval-Augmented Generation) experience.
• Cloud platforms experience.
• MLOps & DevOps experience.
• This position may require relocation and/or travel to work/project location.

Responsibilities

• Create business requirement documents covering functional and non-functional requirements from client workshops and interviews.
• Review, propose, and develop solution architecture ensuring scalable, reliable, and maintainable designs.
• Assess and recommend suitable technologies, tools and platforms for implementation as part of architectural design.
• Review technical solutions and develop integration strategies across technologies and systems.
• Resolve complex technical challenges during build, deployment, and support phases; promote reusable frameworks.
• Provide architectural insights to development teams and collaborate with clients and internal teams.

Skills

AI/ML & Generative AI

Data Architecture

RAG (Retrieval-Augmented Generation)

Cloud Platforms

MLOps & DevOps

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys Limited is seeking an AI Engineering Architect to design AI/ML solutions and scalable architectures for telecom and network inventory planning. You will drive architectural decisions, evaluate technologies, and collaborate across client teams to deliver high-impact projects.

The role emphasizes data-first engineering, real-time value visibility, and leveraging AI/ML, with relocation/travel as needed and US work authorization supported.