Agentic AI Engineer with Dynatrace exposure - Burlington/Boston, MA OR Princeton, NJ

Job Title: Agentic AI Engineer (Dynatrace Integration & AI Observability)
Location: Burlington/Boston, MA OR Princeton, NJ

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 cases.
• Utilize Dynatrace AI Observability to monitor agent interactions, execution traces, prompt performance, and operational costs.
• Implement 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.
• Experience implementing Multi-Agent Architectures.
• Knowledge of AI Observability, tracing, monitoring, and prompt auditing.
• Experience implementing governance, compliance, and security controls for AI systems.
• Understanding of distributed systems, automation, and operational intelligence.
• Experience working with DevOps, SRE, or Operations teams.
• Strong problem-solving and troubleshooting abilities.

Preferred Qualifications:

• Experience with enterprise AI automation and self-healing systems.
• Knowledge of Generative AI, Large Language Models (LLMs), and prompt engineering.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with MLOps and AI deployment best practices.
• Experience integrating AI solutions within enterprise monitoring and observability ecosystems.
• Prior experience supporting large-scale production environments.