AI/ML Solution Architect

📋 Description

• Lead solution discovery workshops with programme, government, domain, and engineering stakeholders
• Own solution design from initial discovery through production, producing service breakdowns, data
• Architect production AI pipelines covering generation, RAG, knowledge-graph retrieval, multi-agent
• Define AI system contracts covering inputs, outputs, schemas, model and prompt versions, token
• Design secure human-in-the-loop workflows with appropriate segregation of duties, audit trails
• Own reference architectures across Azure and/or AWS, including identity and access management

🎯 Requirements

• 8+ years of experience building software, data, or AI/ML systems, including recent experience as a
• Proven experience shipping at least one production AI/ML or GenAI system at scale, such as RAG
• Demonstrated ability to create delivery-ready architecture blueprints covering services, data
• Deep experience with Azure and/or AWS, including the ability to design and defend landing zones
• Strong Python skills, with practical understanding of classical machine learning, model evaluation
• Hands-on experience with LLMOps/MLOps, including model and prompt versioning, evaluation harnesses

🎁 Benefits

• Fully remote-first position based in India, with occasional travel for client or stakeholder
• Full-time opportunity with significant ownership over architecture and production AI systems.
• Opportunity to work on AI applications spanning education, assessment, document intelligence
• Meaningful opportunity to contribute to technology designed to support learning and assessment
• Exposure to advanced GenAI, RAG, multi-agent, LLM evaluation, OCR, LLMOps/MLOps, cloud
• Collaborative international environment with colleagues and stakeholders across multiple regions.