Insurance AI Architect: Enterprise GenAI & MLOps Leader

Infosys Consulting

San Francisco (CA)

On-site

USD 154,000 - 193,000

Full time

18 hours ago
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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.

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