Job Description

As AI Architect you will Define enterprise data and AI strategies, designing scalable architectures for data warehouses, lakes, and intelligent analytical platforms. Lead modernization initiatives transforming legacy systems into cloud-native, AI-ready solutions. Establish data governance, MLOps frameworks, and integration patterns for traditional analytics and generative AI applications across diverse client engagements.


You Will

  • Design end-to-end architectures spanning data platforms, analytics, and AI/ML systems from ingestion through model deployment
  • Develop roadmaps for legacy modernization, cloud migration, and AI adoption including LLM integration strategies
  • Define data and ML modeling standards, feature engineering patterns, and model governance frameworks
  • Architect GenAI solutions including RAG systems, agent frameworks, and enterprise knowledge bases with proper security controls
  • Evaluate technology stacks for data pipelines, ML platforms, vector databases, and LLM orchestration tools
  • Establish governance frameworks covering data quality, model monitoring, AI ethics, and responsible AI practices
  • Create architectural blueprints, reference architectures, and technical specifications for hybrid data-AI solutions
  • Provide thought leadership on AI/ML trends, emerging technologies, and industry convergence of analytics and intelligence


Who are you

  • 10+ years in data/analytics with 5+ years architecting solutions spanning traditional BI and AI/ML platforms
  • Deep expertise in data warehousing, data lakes, and modern lakehouse architectures combined with MLOps and AI infrastructure
  • Strong knowledge of on-premise and cloud platforms (AWS, Azure, Snowflake, Databricks) plus AI services (Bedrock, Azure OpenAI)
  • Experience designing LLM applications, RAG architectures, vector search systems, and agentic AI workflows
  • Understanding of ML lifecycle management, feature stores, model registries, and deployment patterns
  • Proven track record architecting regulatory reporting, financial services, and AI-augmented analytical solutions
  • Knowledge of AI governance, model explainability, bias detection, and responsible AI frameworks
  • Exceptional communicator bridging business strategy, data engineering, and AI innovation for technical and executive audiences

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