
Transformative AI Solutions Specialist
6 days ago
The Senior AI Systems Architect will design and develop industrial-grade AI systems that transform data into informed decisions. This role involves building end-to-end solutions that prevent accidents, ensure compliance, and drive business growth at scale.
- Key Responsibilities:
- Design multimodal architectures over diverse data sources (text/images tables), incorporating domain embeddings for bilingual technical terminology.
- Implement hybrid retrieval models with reranking; target ≥90% top-k answerability and traceable citations.
- Build scalable pipelines for ingesting/normalizing heterogeneous sources (ERP/MES exports, legacy DBs, SharePoint, IoT streams).
- Industrial Data & Change-Aware Pipelines
- Ship document-type ingestion with schema validation, redaction, and temporal versioning for regulatory drift.
- Integrate external APIs (e.g., KOSHA, OSHA, EPA) for finance modules SEC/DART.
- Production AI & MLOps
- Orchestrate ensemble decisioning with SLA < 10s; cost-optimized LLM flows (tool-use, caching, distillation).
- Operate on cloud-based infrastructure (AWS EKS, Postgres, Pinecone); CI/CD with test & eval gates.
- Build explanation layers (attribution, chain-of-evidence) and human-in-the-loop feedback.
- Required Skills & Qualifications:
- 7+ years building production AI/ML or search systems; 3+ enterprise deployments end-to-end.
- Expert Python 3.11+, SQL; strong systems thinking and data modeling.
- RAG at scale: vector DBs (Pinecone/Weaviate/FAISS), BM25, rerankers, prompt/routing strategies, evals (faithfulness, coverage, latency).
- MLOps/SRE: versioning, canaries/A-B, drift detection, observability, cost/perf trade-offs.
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