Gen AI, Observability & RCA Consultants

Responsibilities :

Key Responsibilities : Design and implement AI-driven RCA and impact analysis frameworks integrated with observability platforms. Utilize Agentic AI and GenAI technologies to automate and enhance decision-making in incident response and service reliability. Integrate observability tools (e.g., AppDynamics, Dynatrace, DataDog, Grafana, CloudWatch, Splunk, ELK) with AI models for intelligent alerting and diagnostics. Collaborate with SRE, DevOps, and platform teams to define observability KPIs and RCA workflows. Develop autonomous agents for real-time monitoring, anomaly detection, and resolution. Drive innovation in predictive analytics and self-healing systems using GenAI capabilities. Ensure scalability, security, and compliance of AI-integrated observability solutions.

Additional Responsibilities :

Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability

Good knowledge on software configuration management systems

Awareness of latest technologies and Industry trends

Logical thinking and problem solving skills along with an ability to collaborate

Understanding of the financial processes for various types of projects and the various pricing models available

Ability to assess the current processes, identify improvement areas and suggest the technology solutions

One or two industry domain knowledge

Client Interfacing skills

Project and Team management

Technical and Professional Requirements :

Required Skills & Experience : Hands-on experience with GenAI and Agentic AI frameworks (e.g., LangChain, LangGraph). Strong understanding of Root Cause Analysis (RCA) and Impact Analysis methodologies. Experience in designing AI-powered automation and monitoring systems. Familiarity with cloud-native architectures and distributed systems. Excellent analytical, problem-solving, and communication skills.

Skills Required

Servicenow, Machine Learning, Root Cause Analysis, Itsm, Microservices, Sdlc, Microsoft Technologies, Technology, Problem Analysis