Enterprise AI Architecture Lead (Cloud/LLMs)

Infosys Limited; United States; On-site; USD 110,000 - 148,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse- m

Insurance (various)

401(k) plan

Job summary

Infosys Limited in the United States seeks an Architecture Consultant 3 to lead the design of scalable, reliable enterprise architectures for AI-driven transformations. You will review solutions, select appropriate technologies, and coordinate with clients and engineering teams to ensure successful delivery across complex telecom and technology domains.

Ideal candidates bring deep expertise in AI architecture, LLMs, MLOps, and cross-functional leadership.

Qualifications

• Bachelor’s degree or foreign equivalent required; other qualifications may be considered.
• Must be willing to relocate/travel to work location in the United States.
• Candidates authorized to work in the United States without visa sponsorship are welcome to apply.

Responsibilities

• Create business requirement documents from client workshops and interviews.
• Review and develop solution architectures that are scalable and maintainable; align with framework.
• Assess technologies and platforms to meet business needs and enable integration across systems.
• Identify risks and provide remediation strategies; support deployment and operations phases.
• Collaborate with development teams and clients to ensure successful project delivery.

Skills

AI Architecture

Generative AI

LLMs

GCP

MLOps

APIs

CI/CD

Microservices

LangChain

LangGraph

Prompt Engineering

AI Safety

Responsible AI

PII De-identification

Secure LLM Deployment

AI Strategy

Cross-functional Leadership

Telecommunications Domain

Product Architecture

Digital Transformation

Education

Bachelor’s degree

Job description

Infosys Limited in the United States seeks an Architecture Consultant 3 to lead the design of scalable, reliable enterprise architectures for AI-driven transformations. You will review solutions, select appropriate technologies, and coordinate with clients and engineering teams to ensure successful delivery across complex telecom and technology domains.

Ideal candidates bring deep expertise in AI architecture, LLMs, MLOps, and cross-functional leadership.