Chief Architect AI/ML Solutions
6 days ago
Job Title: Technical Lead - AI/ML Solutions
OverviewWe are seeking an experienced technical lead to oversee the development and implementation of AI/ML solutions. This role requires strong leadership skills, technical expertise, and a passion for innovation.
The successful candidate will be responsible for designing and architecting AI-powered solutions, selecting and operationalizing NLP models, and implementing experiment tracking and model registry.
This is an exciting opportunity for a technical leader who wants to make a meaningful impact in the field of AI/ML.
Key Responsibilities:- Design and Architecture
- Define reference architecture for AI-powered solution, including ingestion, lakehouse, features/vectors, models, and APIs/UX.
- Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components.
- Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, and rollback.
- Retrieval Pipelines and Guardrails
- Design retrieval pipelines, including chunking, embeddings, and vector namespaces.
- Establish guardrails, including prompt policies, allow-lists, PII redaction, and citation-based responses.
- Feature Store and Labelling Strategy
- Oversee feature store, labelling strategy, and high-quality gold datasets.
- Enforce DQ rules and lineage.
- Performance Optimization
- Right-size SKUs, caching/batching, and cost/per-token dashboards.
- SLOs for latency/throughput.
- Team Leadership
- 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 pyramid, performance targets, observability dashboards.
- Mentorship and Standards
- Produce design docs, runbooks, SOPs; mentor engineers.
- Uplift coding and review standards.
- 10+ years of software development experience, with at least 5 years leading AI/ML projects.
- Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR).
- LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns.
- MLflow, model registry, online/offline evals, 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 (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, and mentoring.
- 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).
- Bachelor's Degree in Computer Science or related science field or equivalent.
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