Senior AI Architect & Automation Leader

Infosys

Bellevue (WA)

On-site

USD 154,000 - 193,000

Full time

14 days+
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Paid holidays and PTO

Job summary

Infosys Consulting is seeking an AI Architect to lead enterprise AI, ML, and GenAI engagements. The role requires hands-on design, architecture, and cross-domain delivery across cloud-native and hybrid environments, with emphasis on governance, data pipelines, and integration with automation tools.

Candidates should have extensive experience in AI/ML, LLMs, MLOps, and cloud services, with a proven ability to translate business problems into scalable AI solutions.

Qualifications

  • Experience architecting and implementing AI/ML solutions across multiple domains.
  • Hands-on experience with cloud AI/ML services (Azure OpenAI, AWS Bedrock/SageMaker, Vertex AI).
  • Experience translating business problems into AI solution architecture.
  • Experience with ML lifecycle management, CI/CD for ML, monitoring and retraining pipelines.

Responsibilities

  • Lead client engagements delivering AI and automation solutions.
  • Architect end-to-end AI platforms in cloud-native and hybrid environments.
  • Collaborate with cross-functional teams to deploy AI solutions at scale.
  • Develop governance and risk management practices for AI systems.
  • Mentor junior consultants and contribute to IP in focus areas.
  • Drive delivery excellence and align with Infosys Consulting KPIs.

Skills

AI Architecture
Python
ML Modeling
Generative AI
NLP/Conversational AI
MLOps/LLMOps

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

LangChain
LlamaIndex
Semantic Kernel
RAG architectures

Job description

Infosys Consulting is seeking an AI Architect to lead enterprise AI, ML, and GenAI engagements. The role requires hands-on design, architecture, and cross-domain delivery across cloud-native and hybrid environments, with emphasis on governance, data pipelines, and integration with automation tools.

Candidates should have extensive experience in AI/ML, LLMs, MLOps, and cloud services, with a proven ability to translate business problems into scalable AI solutions.

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