Note: The job is a remote job and is open to candidates in USA. Tredence Inc. is seeking a Senior GenAI & Agentic AI Platform Engineer to architect, build, and operate an enterprise-grade AI platform. This role involves leading the design and implementation of autonomous agentic systems while ensuring high standards for performance, security, and observability.

Responsibilities

• Architect and build a resilient, multi-agent AI platform capable of scaling seamlessly to 100s of production agents
• Design robust agent runtime capabilities, including state persistence, memory management (short/long-term), and context window optimization
• Optimize non-functional requirements across the platform, including token usage, end-to-end latency SLAs, throughput, and compute efficiency
• Implement enterprise AI observability standards—including tracing, evaluation, and monitoring—using tools such as OpenTelemetry, Arize, and MLflow
• Integrate end-to-end security and governance protocols (e.g., SAST/DAST, RBAC, line-of-sight auditing) into agent workflows and platform deployment pipelines
• Build reusable SDKs, implementation templates, and standard frameworks for rapid agent onboarding and platform adoption
• Enhance CI/CD automation, heartbeat monitoring, and automated validation for agent deployments
• Collaborate with enterprise architects and product teams to translate platform goals into clear, actionable sprint execution plans

Skills

• 8–10 years of AI/Ml experience with significant focus on building GenAI and agentic solutions
• Strong hands-on expertise in Azure and Databricks (Unity Catalog, Model Serving, MLflow)

Company Overview

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