Expert AI Solutions Architect

2 weeks ago

Thiruvananthapuram, Kerala, India beBeeSenior Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Title: Senior AI Engineer

We are seeking a skilled technical leader to oversee the design and delivery of an AI-powered solution combining natural language processing (NLP), anomaly detection, generative AI/RAG, and rule engines on cloud platforms.

The ideal candidate will own the architecture, technical roadmap, and production reliability while guiding a cross-functional team consisting of machine learning (ML) engineers, data engineers, backend developers, DevOps engineers, and quality assurance (QA) testers.

Key Responsibilities:

  • Define the reference architecture for ingestion, lakehouse, features/vectors, models, and APIs/UX; make build/buy decisions.
  • Select, train, and operationalize NLP, anomaly/fraud models, and generative AI/RAG components; establish human-in-the-loop.
  • Implement experiment tracking, model registry, continuous integration/continuous deployment (CI/CD) for models, automated evaluation, drift monitoring, and rollback.
  • Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses.
  • Oversee feature stores, labelling strategies, and high-quality gold datasets; enforce data quality (DQ) rules and lineage.
  • Right-size software development kits (SKUs); caching/batching; cost/per-token dashboards; service level objectives (SLOs) for latency/throughput.
  • Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews.
  • Translate business policy into rule + ML ensembles, present options, risks, and trade-offs.
  • Establish testing pyramids (unit, data, model evaluations, end-to-end), performance targets, observability dashboards.
  • Produce design documents, runbooks, standard operating procedures (SOPs); mentor engineers; uplift coding and review standards.

Required Skills and Qualifications:

  • 10+ years of software development experience, with at least 5 years leading AI/ML projects.
  • Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, named entity recognition), OCR pipelines; evaluation design (precision/recall, receiver operating characteristic/precision-recall).
  • LangChain/LangGraph; embeddings; vector databases/Azure Cognitive Search (vector); prompt engineering & safety patterns.
  • MLflow, model registry, online/offline evaluations, data/version management; CI/CD for models.
  • Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ.
  • Python (FastAPI), eventing (Event Grid/Service Bus), containerization (Azure Kubernetes Service/Azure Container Apps), API Management.
  • Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL.
  • Technical decision-making, cross-team coordination, stakeholder communication, and mentoring.

Preferred Skills:

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

Qualifications:

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

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