Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - review capabilities for customer workflows.
About the role
- Data & AI Architect overseeing design and implementation of enterprise-grade data and AI solutions. Collaborating with teams for scalable platforms aligned with client objectives and technical excellence.
Responsibilities
- Provide deep technical leadership across modern data and AI engagements
- Design, build, and guide implementation of enterprise-grade data and AI solutions
- Establish architectural standards, patterns, and reference models for data modernization and AI enablement
- Provide technical direction and mentorship to data engineers, ML engineers, and solution developers
- Collaborate with infrastructure and cloud teams to ensure robust, secure, and compliant deployments
- Evaluate emerging tools and architectures in AI, data, and automation
Requirements
- 8+ years of experience designing and implementing data and AI solutions in enterprise or consulting environments
- Proven expertise building cloud-native data platforms on Azure, AWS, or GCP
- Strong hands-on experience with: Data engineering: Spark, Databricks, Snowflake, Synapse, BigQuery, or Redshift
- Data orchestration & integration: Airflow, Data Factory, Glue, or similar
- ML/AI technologies: Python, TensorFlow, PyTorch, scikit-learn, Azure ML, SageMaker, Vertex AI
- Generative AI: LLM integration, RAG, vector databases (e.g., Pinecone, FAISS), prompt engineering
- MLOps/LLMOps frameworks: MLflow, Kubeflow, or similar
- Strong foundation in data architecture, governance, and security best practices
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
Benefits
- Flexible working arrangements
- Professional development opportunities
- Employee referral program
- Health and wellness programs
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