Job Description

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.