Senior AI Solution Architect

Salary

Core Qualifications

Preferred Qualifications

Key Responsibilities

• •Create and maintain comprehensive architecture blueprints, system designs, data flow models, component structures, and API specifications across multiple delivery teams.
• •Define, document, and defend key architectural decisions while evaluating technical constraints, risks, and long-term impacts.
• •Lead architecture reviews with engineering teams and stakeholders to ensure consistency, scalability, and technical alignment.
• •Design AI and agentic system architectures, including LLM orchestration, multi-agent workflows, routing strategies, memory management, and context handling.
• •Architect retrieval-augmented generation (RAG) solutions, including vector databases, embedding pipelines, retrieval strategies, and real-time data integrations.
• •Optimize AI systems by overseeing model selection, performance improvements, latency management, fallback strategies, and evaluation frameworks.
• •Design modernization strategies for complex enterprise systems, including API enablement, legacy system transformation, and event-driven integrations.
• •Establish secure and compliant AI architectures through threat modeling, auditability, governance frameworks, and human-in-the-loop controls.
• •Define cloud, DevSecOps, infrastructure, and security patterns that support scalable and cost-efficient AI operations.
• •Collaborate with senior stakeholders, including technology leaders and enterprise architecture teams, to build confidence in proposed solutions.
• •Mentor technical teams and contribute to improving architectural practices, engineering quality, and innovation capabilities.