AI Solution Architect

Job Purpose

The AI Solution Architect designs production-grade AI systems and leads architecture, infrastructure, and pipeline decisions needed for scalable, reliable AI products.

Key Responsibilities

Architecture & 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 benchmarks.

Technical Enablement & Standards

• Establish best practices for MLOps, deployment, and lifecycle management.
• Build reusable templates, patterns, and architectural guidelines.
• Support benchmarking, model evaluation, and optimization.

Cross-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 lifecycle.

Quality, Governance & Compliance

• Ensure architectural alignment with security, compliance, and operational standards.
• Conduct risk assessments, reviews, and documentation of architecture decisions.

Qualifications & 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.