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Specialized senior ML/AI role at a known employer in a metro yields moderate competition.
Deep ML/AI architecture, MLOps, and enterprise data requirements limit cross-industry transferability.
Explicit 7.5+ years and mandatory AI architecture, MLOps, and data platform requirements create strict filters.
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Lead AI solution architecture including end-to-end design of AI/ML applications from concept to production, focusing on scalable, secure, and enterprise-grade platforms.
Conduct discovery workshops and technical analysis with stakeholders to define architecture blueprints, integration strategies, and data flows across enterprise ecosystems.
Provide technical leadership through architecture reviews, governance, mentoring, and resolving risks for AI platform adoption and delivery success.
7.5+ years of experience in Solutions Architect, Principal Engineer, or equivalent technical leadership role.
Proven experience delivering enterprise-scale AI/ML solutions including RAG workflows, vector databases, prompt engineering, and LLM frameworks.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Proficiency in Python and working knowledge of Java, Go, or Node.js; experience with data platforms like Databricks or Delta Lake preferred.
Strong expertise in AI application design, enterprise architecture, scalable distributed systems, and MLOps practices including model serving and observability.
Experience designing integrations with ERP, banking, government portals using event-driven architectures and REST APIs suitable for fintech or compliance domains.
Demonstrated ability to lead cross-functional teams, translate complex business needs into technical architectures, and establish governance and best practices for AI platform development.