
Chief Artificial Intelligence Architect
2 weeks ago
We are seeking an experienced Technical Leader to drive the end-to-end design and delivery of AI-powered solutions. The ideal candidate will have a strong background in leading cross-functional teams through technical roadmaps, architecture, production reliability, and technical decision-making.
The Technical Manager will be responsible for defining reference architecture, making build/buy decisions, selecting, training, and operationalizing NLP, anomaly/fraud models, and GenAI/RAG components. They will also implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, and rollback.
In addition, the Technical Manager will oversee feature store, labelling strategy, gold datasets, DQ rules, and lineage. They will right-size SKUs, caching/batching, cost/per-token dashboards, SLOs for latency/throughput, break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews, establish testing pyramid, performance targets, observability dashboards, produce design docs, runbooks, SOPs, mentor engineers, and uplift coding and review standards.
Required Skills and Qualifications- 10+ years software development experience, 5+ leading AI/ML projects.
- Supervised/unsupervised modelling, anomaly detection, NLP, OCR pipelines, evaluation design.
- LangChain/LangGraph, embeddings, vector databases, prompt engineering & safety patterns.
- MLflow, model registry, online/offline evals, data/version management; CI/CD for models.
- Delta Lake/Lakehouse, Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ.
- Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM.
- Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL.
- Technical decision-making, cross-team coordination, stakeholder communication, mentoring.
The successful candidate will have the opportunity to work on challenging projects, develop their skills, and grow their career. They will be part of a dynamic team, working closely with other technical leaders and stakeholders.
OthersBachelor's Degree in Computer Science or related science field or equivalent is required. We are an equal opportunities employer and welcome applications from all qualified candidates.
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