Technical Architect in AI Ops

Design, develop, and implement AI-driven IT Operations solutions to improve infrastructure reliability, observability, and operational efficiency. Build predictive analytics models for incident prediction, capacity planning, anomaly detection, and proactive issue resolution. Implement and optimize AIOps platforms leveraging telemetry data, logs, metrics, and traces. Drive event correlation, root cause analysis, and automated remediation workflows using AI technologies. Continuously improve operational KPIs such as MTTR, incident volume reduction, infrastructure utilization, and service availability. Knowledge on Open Telemetry formats for telemetry. Develop and deploy AI Agents for IT Operations, DevOps, SDLC and STLC optimization, and enterprise productivity. Build RAG (Retrieval Augmented Generation) systems integrating enterprise knowledge repositories. Design multi-agent architectures to automate operational workflows and decision-making processes for various manual tasks available in SDLC cycle. Leverage LLMs, vector databases, embedding models, orchestration frameworks, and agent frameworks to create enterprise-grade solutions. Engage with business stakeholders, operations teams, architects, and leadership to understand operational challenges and define solution roadmaps. Lead technical discussions, design reviews, and architecture workshops.

Minimum years of experience 8-10 years

Certifications Needed : Claude Architecture Certifications

Top 3 responsibilities you would expect the Subcon to shoulder and execute Drive Architecture Discussions Support enterrise adoption Develop POCs and workable solutions, Good skills required on AI Engineering with RAG as well as AI Ops practices and solutions, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Operations, Call Centers, Capacity Management, Continuous Improvement, Customer Support/Service, Database Design, DevOps, Diversity Recruiting, Event Correlation, Finance, Fortune 500 Customers, Health Information Technology, Knowledge Repositories, Leadership, Metrics, Natural Language Processing (NLP), Operational Improvement, Operational Strategy, Performance Metrics, Predictive Modeling, Problem Solving Skills, Reliability Engineering, Root Cause Analysis, Software Development Lifecycle (SDLC), Technical Leadership, Technical/Engineering Design, Telemetry, Test Automation