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Senior, niche AI architecture role at a non-Tier1 employer reduces applicant density.
Requires deep AI architecture and enterprise security expertise, moderately transferable across industries.
Explicit 12+ years and mandatory deep AI architecture and cloud requirements create strict filters.
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Lead the design and architecture of AI solutions from approved concepts to buildable technical architectures, including data flows, integrations, and non-functional/security requirements.
Define and maintain reusable reference architectures, standards, and platform strategies, including build-vs-buy evaluations of AI models and tools.
Partner closely with business solution leads and engineering teams to ensure designs align with enterprise security, governance, and responsible AI policies and support implementation.
Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or related field.
12+ years in solution/software/enterprise architecture, ML/AI engineering, or technical solutions/pre-sales engineering with hands-on experience designing production systems and setting technical direction.
Proven expertise designing end-to-end technical architectures for AI/ML or data-intensive systems including data flows, integration, and security.
Hands-on experience with cloud platforms (Google Cloud preferred), modern delivery tooling (Git-based version control, CI/CD, infrastructure-as-code), and knowledge of security, data classification, and responsible-AI in enterprise settings.
Strong command of modern AI stack including LLMs, agent frameworks, retrieval/RAG, orchestration, and AI-augmented development with continuous learning habits.
Experienced in working at the intersection of business and technology, particularly in enterprise AI/platform/ transformation functions, with ability to translate business concepts into technical designs.
Skilled in producing clear, buildable architecture artifacts and communicating effectively with both engineers and executives, while partnering cross-functionally with security, platform, and DevOps teams.