Strategic AI Solutions Architect

2 days ago

Kanpur, Uttar Pradesh, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking an experienced Strategic AI Solutions Architect to lead the design and delivery of cutting-edge AI-powered solutions.

  • Lead Solution Design: Collaborate with cross-functional teams to develop end-to-end AI solutions that combine NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platforms.
  • Define Architecture: Develop a reference architecture for ingestion, lakehouse, features/vectors, models, APIs/UX, and make informed build/buy decisions.
  • Select and Train Models: Choose, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components with human-in-the-loop oversight.
  • Implement Experiment Tracking: Design and implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, and rollback processes.
  • Design Retrieval Pipelines: Develop retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses.
  • Oversee Feature Store: Manage feature store, labelling strategy, high-quality gold datasets; enforce data quality rules and lineage.
  • Rights-Size SKUs: Optimize SKUs, caching/batching, cost/per-token dashboards, and SLOs for latency/throughput.
  • Break Down Epics: Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews.
  • Translate Business Policy: Translate business policy into rule + ML ensembles, present options, risks, and trade-offs.
  • Establish Testing Pyramid: Establish a testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards.
  • Produce Design Docs: Create design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards.

Skill Requirements

  • 10+ Years of Experience: 10+ years of software development experience, with at least 5 years leading AI/ML projects.
  • AI/ML Expertise: Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR).
  • LangChain/LangGraph: LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns.
  • CI/CD for Models: MLflow, model registry, online/offline evals, data/version management; CI/CD for models.
  • Lakehouse Architecture: Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ.
  • Cloud Platforms: Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM.
  • Azure Services: Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL.
  • Soft Skills: Technical decision-making, cross-team coordination, stakeholder communication, and mentoring.

Preferred Skills

  • Certifications: Certifications in AI/ML disciplines.
  • Explainable AI: Hands-on experience with explainable AI and AI governance.
  • Regulatory Compliance: Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR).

Qualifications

  • Bachelor's Degree: Bachelor's Degree in Computer Science or related science field or equivalent.

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