Job Title: Agentic AI Engineer (Dynatrace Integration & AI Observability) Location: Burlington/Boston MA OR Princeton NJ (Onsite) No C2C Only W2
Job Summary:
Infosys is seeking an experienced Agentic AI Engineer with strong expertise in Agentic AI frameworks Dynatrace Intelligence Platform AI Observability and Retrieval-Augmented Generation (RAG). The ideal candidate will design and implement intelligent autonomous agents orchestrate AI-driven workflows and integrate advanced AI capabilities with Dynatrace for real-time monitoring observability and operational automation. This role requires close collaboration with SRE Operations and Development teams to build secure scalable and self-healing AI-powered solutions.
Key Responsibilities:
Design and implement intelligent agent-based workflows using LangChain LangGraph and related Agentic AI frameworks. Develop autonomous AI agents to automate operational processes runbooks incident response and self-healing systems. Integrate AI agents with the Dynatrace Intelligence Platform leveraging Grail Data Lake and Smarts cape Dependency Mapping for contextual intelligence. Architect develop and optimize advanced Retrieval-Augmented Generation (RAG) pipelines. Build and manage multi-agent collaboration frameworks for complex operational use Dynatrace AI Observability to monitor agent interactions execution traces prompt performance and operational governance controls approval workflows fallback mechanisms and human-in-the-loop safeguards. Establish secure compliant and auditable AI operational frameworks. Collaborate with Site Reliability Engineers (SREs) Developers and Operations teams to identify operational challenges and implement AI-driven solutions. Continuously improve AI agent performance reliability scalability and observability. Support deployment monitoring troubleshooting and optimization of production AI systems.
Required Skills:
Strong experience with Agentic AI Frameworks (LangChain LangGraph).
Experience designing and implementing AI Agents and autonomous workflows.
Hands-on expertise with Dynatrace Platform Integration.
Experience with Dynatrace Grail Data Lake.
Knowledge of Dynatrace Smartscape Dependency Mapping.
Strong experience building Retrieval-Augmented Generation (RAG) solutions.
Job Title: Agentic AI Engineer (Dynatrace Integration & AI Observability) Location: Burlington/Boston MA OR Princeton NJ (Onsite) No C2C Only W2 Job Summary: Infosys is seeking an experienced Agentic AI Engineer with strong expertise in Agentic AI frameworks Dynatrace Intelligence Platform AI Obs...
Job Title: Agentic AI Engineer (Dynatrace Integration & AI Observability) Location: Burlington/Boston MA OR Princeton NJ (Onsite) No C2C Only W2
Job Summary:
Infosys is seeking an experienced Agentic AI Engineer with strong expertise in Agentic AI frameworks Dynatrace Intelligence Platform AI Observability and Retrieval-Augmented Generation (RAG). The ideal candidate will design and implement intelligent autonomous agents orchestrate AI-driven workflows and integrate advanced AI capabilities with Dynatrace for real-time monitoring observability and operational automation. This role requires close collaboration with SRE Operations and Development teams to build secure scalable and self-healing AI-powered solutions.
Key Responsibilities:
Design and implement intelligent agent-based workflows using LangChain LangGraph and related Agentic AI frameworks. Develop autonomous AI agents to automate operational processes runbooks incident response and self-healing systems. Integrate AI agents with the Dynatrace Intelligence Platform leveraging Grail Data Lake and Smarts cape Dependency Mapping for contextual intelligence. Architect develop and optimize advanced Retrieval-Augmented Generation (RAG) pipelines. Build and manage multi-agent collaboration frameworks for complex operational use Dynatrace AI Observability to monitor agent interactions execution traces prompt performance and operational governance controls approval workflows fallback mechanisms and human-in-the-loop safeguards. Establish secure compliant and auditable AI operational frameworks. Collaborate with Site Reliability Engineers (SREs) Developers and Operations teams to identify operational challenges and implement AI-driven solutions. Continuously improve AI agent performance reliability scalability and observability. Support deployment monitoring troubleshooting and optimization of production AI systems.
Required Skills:
Strong experience with Agentic AI Frameworks (LangChain LangGraph).
Experience designing and implementing AI Agents and autonomous workflows.
Hands-on expertise with Dynatrace Platform Integration.
Experience with Dynatrace Grail Data Lake.
Knowledge of Dynatrace Smartscape Dependency Mapping.
Strong experience building Retrieval-Augmented Generation (RAG) solutions.