The Principal Enterprise Architect will lead the design and development of AI GenAI platforms, data analytics ecosystems, and cloud-based solutions, providing strategic architectural guidance to drive innovation and align technology with business goals within a collaborative and inclusive environment.
Key Responsibilities
Define and evolve the enterprise AI GenAI platform architecture and shared services.
Develop reusable architectural blueprints for GenAI solutions and observability standards.
Collaborate with security, privacy, and risk teams to integrate ethical AI guardrails and data policies.
Modernize data analytics architecture to enhance data quality, lineage, and access for AI initiatives.
Guide domain architects in creating multi-year technology roadmaps aligned with business goals.
Facilitate architecture reviews, evaluate technologies, and establish standards for engineering teams.
Requirements
Extensive experience in enterprise, domain, or solution architecture, with a proven ability to influence technical direction across a large organization.
Demonstrated success in building and rolling out scalable AI GenAI solutions from initial concept to production environments.
Familiarity with enterprise architecture frameworks and practices such as TOGAF, Zachman, capability-based planning, and reference architecture used to align technology with business goals.
Deep expertise in at least one of the following areas: AI GenAI, Large Language Model (LLM) platforms such as OpenAI, Bedrock, Vertex AI; orchestration tools like LangChain, LlamaIndex, or vector search technologies.
Modern data stacks experience including Snowflake, Databricks, streaming with Kafka, or data governance tools.
Experience with public cloud providers such as AWS, Azure, or GCP, including container orchestration with Kubernetes and Infrastructure as Code tools like Terraform.
Ability to translate complex technical concepts into clear business value and foster connections across global teams.
Experience using architecture visualization tools such as Ardoq, LeanIX, or Abacus to document and communicate complex ecosystems.
Bachelor's or Master's degree in engineering or computer science.
Benefits & Perks
Flexible work arrangements
Continuous professional development
Wellness resources
Company-sponsored team events
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