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Infosys · 7 hours ago

AI Ops Engineer

Greenwood Village, CO

Full-time

Onsite

Senior Level, Lead/Staff

$113K/yr - $147K/yr

10+ years exp

Infosys is a global leader in next-generation digital services and consulting, and they are seeking an AI Ops Architect. This role involves interfacing with stakeholders, applying technical proficiency in various stages of the Software Development Life Cycle, and designing AI-driven operational frameworks.

ConsultingInformation ServicesInformation TechnologyIT ManagementSoftware

No H1B

Responsibilities

Interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design

Create high level design artifacts

Deliver high quality code deliverables for a module

Lead validation for all types of testing and support activities related to implementation, transition and warranty

Design and implement AI-driven operational frameworks for predictive analytics, anomaly detection, and automated remediation

Build enterprise-grade solutions leveraging AWS services

Implement MLOps pipelines using embeddings, fault detection models, LangGraph, and vLLM

Drive implementation of Agentic AI systems and Model Context Protocol (MCP), A2A for intelligent orchestration

Work closely with cross-functional teams including Cloud Engineering, Data Science, and DevOps to deliver end-to-end AI Ops solutions

Qualification

AWS servicesAI/GenAI for autonomous networksMLOps technologiesLangChainLangFuseAgentic AI implementationCloud Architecture LeadershipOpen-Source AI FrameworksAdvanced AI DevelopmentCollaboration

Required

Candidate must be located within commuting distance of Greenwood Village, CO or be willing to relocate to the area

Bachelor's degree or foreign equivalent required from an accredited institution

Will also consider three years of progressive experience in the specialty in lieu of every year of education

Hands-on experience with AWS services

Working knowledge of AI/GenAI for autonomous networks

Proficiency in AWS AI (SageMaker, Bedrock, Comprehend)

Strong knowledge of open-source MLOps technologies (embeddings, fault detection models), LangGraph, vLLM

Hands-on experience with LangChain, LangFuse, Llama 3.2 LLM, and RAG architectures

Experience in Agentic AI implementation and MCP, A2A

Minimum 10+ years in enterprise cloud architecture, with at least 3+ years in AI Ops and GenAI solutions

Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply

Preferred

Architect AI Ops Solutions: Design and implement AI-driven operational frameworks for predictive analytics, anomaly detection, and automated remediation

Cloud Architecture Leadership: Build enterprise-grade solutions leveraging AWS services

Open-Source AI Frameworks: Implement MLOps pipelines using embeddings, fault detection models, LangGraph, and vLLM

Advanced AI Development: Hands-on experience with LangChain, LangFuse, Llama 3.2 LLM, and RAG-based architectures

Agentic AI & MCP: Drive implementation of Agentic AI systems and Model Context Protocol (MCP), A2A for intelligent orchestration

Collaboration: Work closely with cross-functional teams including Cloud Engineering, Data Science, and DevOps to deliver end-to-end AI Ops solutions