AI Solution Architect

Full 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.

· Ensurearchitecture 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.