
Senior AI Solutions Architect
5 days ago
Job Overview
We seek a seasoned AI Solutions Architect to spearhead the development of cutting-edge technology, combining NLP, anomaly detection, and GenAI/RAG on Cloud platform.
Key Responsibilities:
Create a scalable architecture (ingestion → lakehouse → features/vectors → models → APIs/UX) and make strategic decisions regarding build vs. buy options.
Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components, incorporating human oversight.
Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback, and caching/batching.
Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses.
Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage.
Optimize SKUs, cost/per-token dashboards, SLOs for latency/throughput, and right-size resources.
Break down epics/stories, estimate, sequence work, unblock the team, run technical design reviews.
Translate business policy into rule + ML ensembles, present options, risks, and trade-offs.
Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards.
Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards.
Requirements
Extensive experience in AI-powered solutions.
Strong understanding of NLP, anomaly detection, and GenAI/RAG.
Familiarity with Cloud platforms.
Excellent communication and leadership skills.
Benefits
Competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
How to Apply
Please submit your resume and a cover letter outlining your qualifications and experience.
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