Technology Lead | Automated Testing | Test automation framework design

Work Location: Hartford, CT – hybrid work set-up

Contract duration: 12 months
Target Start Date: 24 Aug 2026
Visa-independent candidates only

Responsibilities

• 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.
• 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 manual tasks in the 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.
• Drive architecture discussions, support enterprise adoption, and develop POCs and workable solutions.

Requirements

• 8–10 years of relevant experience.
• Must-have skills: AI Ops, AI Engineering, Embeddings and Vectors, NLP.
• Nice-to-have skills: Automation, CI/CD.
• Knowledge of OpenTelemetry formats for telemetry.
• Claude Architecture Certifications.
• Strong skills in AI Engineering with RAG as well as AI Ops practices and solutions.