Senior GenAI & Agentic AI Platform Engineer

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior GenAI & Agentic AI Platform Engineer in USA. Below is the detailed job description.

Role: Senior GenAI & Agentic AI Platform Engineer
Location: USA

Experience Level: 8 10 Years
Tech Stack: Azure, Databricks, GenAI / Agentic Frameworks
Employment Type: Full-time

Role Summary

We are looking for a Senior GenAI & Agentic AI Platform Engineer (8 10 years experience) to architect, build, and operate an enterprise-grade AI platform. You will lead the design and implementation of autonomous agentic systems-scaling from dozens to hundreds of production agents-while driving high standards for performance, security, and observability.

This role requires a blend of deep platform architecture experience, hands-on GenAI engineering, and expertise in cloud data ecosystems (Azure & Databricks).

Core Responsibilities

1. Platform Architecture & Scale

• 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.

2. Observability, Security & Governance

• 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.

3. Engineering Excellence & Operations

• 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.

Required Qualifications

• Experience: 8 10 years of AI/Ml experience with significant focus on building GenAI and agentic solutions.
• Cloud & Ecosystem Know How: Strong hands-on expertise in Azure and Databricks (Unity Catalog, Model Serving, MLflow).