AI Solution Architect

Job PurposeThe AI Solution Architect designs production-grade AI systems and leads architecture, infrastructure, and pipeline decisions needed for scalable, reliable AI products.Key ResponsibilitiesArchitecture & System Design Design end-to-end AI architectures for enterprise-level production systems Define infrastructure, pipelines, data flows, and model-serving frameworks Ensure architecture meets scalability, reliability, and performance benchmarksTechnical Enablement & Standards Establish best practices for MLOps, deployment, and lifecycle management Build reusable templates, patterns, and architectural guidelines Support benchmarking, model evaluation, and optimizationCross-Functional Collaboration Work with engineering, AI, data, and product teams to deliver aligned solutions Translate business requirements into actionable technical specifications Provide technical leadership across the delivery lifecycleQuality, Governance & Compliance Ensure architectural alignment with security, compliance, and operational standards Conduct risk assessments, reviews, and documentation of architecture decisionsQualifications & Requirements Bachelor's degree in computer science, Computer Engineering, AI/ML, Data Engineering, or related field 7-10+ years of experience in solution architecture, AI/ML systems, or large-scale data engineering Proven experience designing AI/ML system architectures and scalable distributed systems Strong knowledge of cloud platforms, MLOps, pipelines, and data engineering Strong communication, documentation, and cross-functional leadership skills Experience with RAG architectures, vector databases, and LLM-based systems is a plus Experience in enterprise or government-scale transformations is a plus