Job Title:
AI Architect
Company: GoML
Location: Solapur, Maharashtra
Created: 2026-01-24
Job Type: Full Time
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 WillDesign end-to-end architectures spanning data platforms, analytics, and AI/ML systems from ingestion through model deploymentDevelop roadmaps for legacy modernization, cloud migration, and AI adoption including LLM integration strategiesDefine data and ML modeling standards, feature engineering patterns, and model governance frameworksArchitect GenAI solutions including RAG systems, agent frameworks, and enterprise knowledge bases with proper security controlsEvaluate technology stacks for data pipelines, ML platforms, vector databases, and LLM orchestration toolsEstablish governance frameworks covering data quality, model monitoring, AI ethics, and responsible AI practicesCreate architectural blueprints, reference architectures, and technical specifications for hybrid data-AI solutionsProvide thought leadership on AI/ML trends, emerging technologies, and industry convergence of analytics and intelligenceWho are you10+ years in data/analytics with 5+ years architecting solutions spanning traditional BI and AI/ML platformsDeep expertise in data warehousing, data lakes, and modern lakehouse architectures combined with MLOps and AI infrastructureStrong 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 workflowsUnderstanding of ML lifecycle management, feature stores, model registries, and deployment patternsProven track record architecting regulatory reporting, financial services, and AI-augmented analytical solutionsKnowledge of AI governance, model explainability, bias detection, and responsible AI frameworksExceptional communicator bridging business strategy, data engineering, and AI innovation for technical and executive audiences