Senior Manager, AI Platform Architecture

We are a leading enterprise organization seeking a highly skilled Senior Manager, AI Platform Engineering or AI Platform Architect to join our innovative team. With 12 to 18 years of experience, this role demands a strong background in building scalable enterprise AI and machine learning platforms. The company operates within the technology and cloud computing sector, specializing in AI infrastructure and platform engineering. We emphasize a hands-on approach where leadership is integrated with deep technical expertise in AI architecture, governance, security, and observability. This is a full-time leadership role focused on delivering cutting-edge AI solutions that enable transformative business outcomes across industries including retail and eCommerce.

As a Senior Manager or AI Platform Architect, you will be at the forefront of designing and implementing complex enterprise AI platforms with a focus on agentic AI architectures, multi-agent orchestration, and advanced state and memory management approaches. You will lead the architecture and development of model context protocol (MCP) servers, LLM-as-a-Judge evaluation frameworks, and responsible AI governance programs. Your expertise will extend to building robust AI platform operational controls, security frameworks, and cost optimization strategies across multi-cloud environments such as GCP, AWS, and Azure. This role demands proficiency in cloud platforms like Vertex AI and Databricks, as well as extensive experience with MLOps/AIOps frameworks, observability platforms such as Datadog, and continuous integration and deployment pipelines tailored for AI workloads.

The ideal candidate is a thought leader who can move beyond abstract strategy by discussing detailed technical implementations, including prompt management, agent lifecycle/versioning, human-in-the-loop workflows, and semantic layer strategies. You will drive decisions related to build versus buy AI platform components and inform platform selection criteria that align with enterprise-scale AI infrastructure needs. This leader should possess the unique ability to articulate trade-offs and design decisions regarding cloud ecosystems, AI model monitoring, compliance, auditability, and security postures specific to large-scale AI deployments.

This position is perfect for professionals with previous experience leading globally distributed AI engineering teams and those who hold certifications in Databricks or comparable cloud and AI technologies. A background in generative AI, large language model (LLM) platform design, agentic AI frameworks, and experience with technologies such as Snowflake, Kafka, and Apache Spark will be highly advantageous. The role also includes stewardship of AI platform governance programs emphasizing responsible AI practices and ensures stringent security controls for sensitive data within LLM environments.

You will collaborate with cross-functional teams including data scientists, product managers, security specialists, and infrastructure engineers to deliver AI models and solutions that are scalable, secure, and cost efficient. Your leadership will foster the growth of high-performing engineering teams by mentoring architects and engineers to innovate and maintain AI platform excellence. This is a rare opportunity to join a visionary organization at the cutting edge of AI platform engineering, driving the future of enterprise AI with a balance of strategic foresight and technical rigor.