Senior AI Engineer: LLM & Agentic Systems Architect

Infosys Limited; United States; On-site; USD 66,000 - 102,000; Full time

Benefits offered by this job

Disability insurance

Health reimbursement accounts

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys Limited is seeking an AI-enabled Technology Consultant 2 to drive end-to-end software solutions from architecture to deployment. You will document business requirements, guide design decisions, and contribute to coding, testing, and production support.

The role emphasizes collaboration across teams and a data-first engineering approach. Responsibilities include maintaining code quality, performing reviews, and developing training materials while enabling scalable AI-powered platforms

Qualifications

• Bachelor's degree or foreign equivalent in CS/Engineering
• Experience designing production-grade backend systems
• Experience with AI/ML model integration

Responsibilities

• Document requirements and participate in design discussions to guide the technical team
• Code and integrate new features or updates into applications while maintaining stability
• Conduct code reviews and manage code repositories
• Implement test strategies, analyze results, and coordinate bug fixes
• Develop user training materials, documentation, and support frameworks
• Resolve production issues and recommend preventive strategies to enhance reliability
• Maintain detailed records of code and testing techniques to enrich the knowledge base

Skills

Python

LLM frameworks

LangChain

LangGraph

AutoGen

System design

APIs integration

Education

Bachelor’s degree or foreign equivalent

Tools

Cloud platforms

Vector databases

Job description

Infosys Limited is seeking an AI-enabled Technology Consultant 2 to drive end-to-end software solutions from architecture to deployment. You will document business requirements, guide design decisions, and contribute to coding, testing, and production support.

The role emphasizes collaboration across teams and a data-first engineering approach. Responsibilities include maintaining code quality, performing reviews, and developing training materials while enabling scalable AI-powered platforms