AI/ML Solution Architect

🕒 September 28

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 18%

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• Open for 46 days.
• No salary listed.

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Pratham International

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

📚 Education

🤝 Non-profit

🌍 Social Impact

Education • Non-profit • Social Impact

Pratham International is a US 501(c)(3) within the Pratham network that supports education and youth training initiatives worldwide. It adapts and scales Pratham’s evidence-based innovations — such as the Annual Status of Education Report (ASER) and the Teaching at the Right Level (TaRL) approach — to help local communities, NGOs, and governments improve learning, early-years education, assessments, youth skilling, and digital initiatives. Launched in 2023, Pratham International provides programmatic and technical assistance and partners across many countries to implement context‑tailored education and livelihoods solutions.

📋 Description

• Own solution design from initial workshop through delivery-ready blueprint • Lead solution workshops with programme, ministry, engineering, and external stakeholders • Convert requirements into service boundaries, data stores, sequence diagrams, decision gates, and open-question lists • Write architecture decision records and resolve conflicting technical decisions • Architect LLM generation, curriculum knowledge-graph retrieval, LLM-as-judge pipelines, and constraint-based paper assembly • Design human-AI workflows with auditability, segregation of duties, cycle-pinned configuration, and protection of student PII • Choose and govern models, prompts, evaluation gates, fallbacks, and OCR providers • Shape Azure/AWS platform architecture including identity, networking, LLMOps/MLOps, observability, and sovereign hosting • Define contracts, schemas, metadata logging, evaluation harnesses, release gates, rollback, cost controls, and FinOps guardrails • Stay with systems through build and first production cycle • Produce POVs, architecture packs, sequence packs, workshop artefacts, and reusable country adaptation patterns • Mentor technical leads on boundaries between model-based logic and deterministic workflow logic

🎯 Requirements

• 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership • Shipped at least one production AI/ML system at scale that passed real security, cost, and operations review • Ability to produce delivery-ready architecture blueprints covering services, data stores, IAM, failure modes, evaluation strategy, and cost model • Deep cloud experience on Azure and/or AWS • Experience defending landing-zone and private-endpoint architecture and real compute/inference/OCR spend • Fluent in Python • Hands-on experience with classical ML, model training, evaluation, feature pipelines, LLM APIs, embeddings, and vector search under production load • Comfortable running workshops with non-engineers and translating between technical and non-technical stakeholders • Strong written English • Flexibility to work across time zones, including regular early mornings or late evenings • Strongly preferred: Azure AI plus AWS or GCP; LLMOps/MLOps; document AI/OCR at volume; structured-knowledge RAG and hybrid search; education, assessment, public-sector, health, finance, or identity domains; relevant cloud certifications; agent security; FinOps • Nice to have: Microsoft Fabric, Databricks, Semantic Kernel/Microsoft Agent Framework, MCP, constraint solvers, exam-blueprint/item-bank systems, multilingual generation, golden/eval datasets, government data systems, data-sharing agreements, or sovereign hosting experience

🏖️ Benefits

• Impact at scale supporting learning journeys of millions of children • Autonomy to experiment with the latest SOTA models • Support from a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic • High-calibre, mission-driven global team • Inclusive and collaborative environment • Equal opportunity employer • Remote-first work arrangement • Travel to client workshops as needed

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