Insurance AI Architect: Enterprise GenAI & MLOps Leader

Infosys Consulting; San Francisco (CA); On-site; USD 154,000 - 193,000; Full time

Benefits offered by this job

Disability protection

Health reimbursement accounts

Insurance (various)

401(k) plan

Job summary

Infosys Consulting seeks senior AI/ML architects to design and deliver enterprise-grade AI solutions at scale. The role involves leading multi-domain engagements, shaping AI strategy, and guiding cross-functional teams across client environments.

You will mentor consultants, drive platform architectures, ensure governance, and collaborate with clients to translate business needs into scalable AI capabilities. Extensive travel to client sites may be required.

Qualifications

• Experience architecting end-to-end AI/ML solutions across domains.
• Hands-on with generative AI and LLM-based systems.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience building AI on AWS/Azure/GCP cloud platforms.

Responsibilities

• Lead client engagements and delivery of AI/automation projects.
• Mentor consultants and develop practice capabilities.
• Design AI platform architectures and data pipelines.
• Partner with teams to operationalize ML models and governance.

Skills

AI/ML architecture

Generative AI

LLM frameworks

Python

TensorFlow

PyTorch

Cloud AI services

MLOps/LLMOps

Data engineering

APIs & microservices

Leadership

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

LangChain

LlamaIndex

Semantic Kernel

Vector databases

RAG architectures

Azure OpenAI

AWS Bedrock/SageMaker

Vertex AI

UiPath

Power Automate

CI/CD for ML

Job description

Infosys Consulting seeks senior AI/ML architects to design and deliver enterprise-grade AI solutions at scale. The role involves leading multi-domain engagements, shaping AI strategy, and guiding cross-functional teams across client environments.

You will mentor consultants, drive platform architectures, ensure governance, and collaborate with clients to translate business needs into scalable AI capabilities. Extensive travel to client sites may be required.