About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Solution Architect based in India.
Responsibilities
- Lead solution discovery workshops with programme, government, domain, and engineering stakeholders
- Own solution design from initial discovery through production, producing service breakdowns, data flows, trust boundaries, sequence diagrams, architecture decision records, cost models, and implementation-ready blueprints
- Architect production AI pipelines covering generation, RAG, knowledge-graph retrieval, multi-agent workflows, LLM-as-judge systems, document AI/OCR, human review, and constraint-based processing
- Define AI system contracts covering inputs, outputs, schemas, model and prompt versions, token usage, latency, evaluation criteria, and failure-handling behavior
- Design secure human-in-the-loop workflows with segregation of duties, audit trails, configuration controls, de-identification, and protection of sensitive information
- Own reference architectures across Azure and/or AWS, including IAM, private networking, storage, vector search, monitoring, observability, LLMOps/MLOps, and production operations
- Establish evaluation frameworks and release gates
- Incorporate FinOps principles into architecture
- Produce reusable architecture patterns, technical documentation, and country-adaptation frameworks
Requirements
- 8+ years of experience building software, data, or AI/ML systems, including recent experience as a Solution Architect, AI/ML Architect, Principal Engineer, or Staff Engineer
- Proven experience shipping at least one production AI/ML or GenAI system at scale
- Demonstrated ability to create delivery-ready architecture blueprints
- Deep experience with Azure and/or AWS
- Strong Python skills, with practical understanding of classical machine learning, model evaluation, LLM APIs, embeddings, vector search
- Hands-on experience with LLMOps/MLOps
- Strong understanding of RAG over structured knowledge, hybrid search, document AI/OCR, multilingual AI, agent security, prompt-injection risks, and AI evaluation methodologies
- Experience working with non-technical stakeholders
- Excellent written English and strong documentation skills
- Preferred: Azure AI Foundry, Azure OpenAI, Azure Document Intelligence, AWS Bedrock or SageMaker, GCP Vertex AI or BigQuery, MLflow, Databricks, Microsoft Fabric, Semantic Kernel or Microsoft Agent Framework, MCP integrations, constraint solvers
- Relevant cloud certifications advantageous
Conditions
- Fully remote-first position based in India, with occasional travel for client or stakeholder workshops
- Full-time opportunity with significant ownership over architecture and production AI systems
- Comfort working across international time zones