Senior Lead AI Platform Engineer

Key Responsibilities

• Design and implement secure, scalable AI platform architectures and reusable deployment patterns.
• Automate infrastructure provisioning, CI/CD pipelines, and platform deployments using Infrastructure as Code.
• Build and operate highly available AI platform services with monitoring, observability, disaster recovery, and incident response practices.
• Partner with cloud, DevOps, platform, and security teams to establish AI governance, deployment standards, and operational best practices.
• Lead technical design reviews, mentor engineers, and promote scalable, secure engineering solutions.
• Improve platform reliability, deployment consistency, and operational efficiency through automation and standardization.

Required Qualifications

• 8–10 years of software or platform engineering experience, including 7+ years building and operating production systems in AWS, GCP, or hybrid cloud environments.
• Hands-on experience deploying and supporting AI/ML services in production.
• 2+ years using AI-assisted development tools such as Claude Code, Codex, or Cursor.
• Strong experience with Docker, Kubernetes, GitHub Actions, Terraform, and Helm.
• Experience designing secure authentication and authorization solutions using OAuth 2.0, OIDC, SAML, JWT, RBAC, and IAM.
• 4+ years of scripting and automation experience using Python and/or JavaScript.
• Strong troubleshooting skills across Linux, Kubernetes, networking, containers, and production environments.
• Experience designing secure, cost-effective infrastructure for hosting large language models (LLMs).

Preferred Qualifications

• Experience with agentic AI frameworks such as LangGraph or Google ADK.
• Knowledge of AI orchestration, RAG architectures, tool calling, evaluation frameworks, and responsible AI practices.
• Experience with AI observability tools such as LangSmith, Grafana, or LGTM.
• Familiarity with GPU infrastructure, Vertex AI, NVIDIA GPU Operator, or model serving platforms.
• Experience with workflow orchestration tools such as Dagster, Prefect, or Airflow.
• Strong communication, mentoring, stakeholder management, and technical leadership skills.