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Metro location and mid-senior ML/AI demand raise competition despite niche AI solution-architecture requirements.
Strong ML/AI architecture and RAG expertise make role less transferable across unrelated domains.
Explicit 7.5+ years and many mandatory AI/architecture skills make filtering stringent.
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Lead design and architecture of enterprise-scale AI/ML solutions including Retrieval-Augmented Generation workflows, vector databases, and LLM evaluation frameworks.
Drive end-to-end AI platform architecture from data ingestion, model deployment to integration with enterprise applications and ERP systems.
Provide technical leadership, establish architecture standards, mentor engineering teams, and ensure scalable, secure, and compliant AI solution delivery.
7.5+ years experience in Solutions Architect, Principal Engineer or equivalent technical leadership role.
Bachelor’s or master’s degree in computer science, IT, or related field.
Proven expertise in AI/ML solution design including RAG workflows, scalable distributed systems, and enterprise data architecture.
Proficiency in Python and working knowledge of Java, Go, or Node.js required.
Experienced in leading cross-functional workshops and collaborating with business, IT, and compliance stakeholders to define AI solutions.
Strong capability in designing architectures that integrate AI outputs with ERP, banking, and government systems under regulatory compliance.
Skilled at balancing technical debt, managing architectural risks, and mentoring teams across the AI solution lifecycle.