Business Title Data Management Architect Years of Experience 7 years We are seeking a visionary Agentic AI Architect to lead the design and deployment of intelligent autonomous systems that leverage the latest in generative AI multi-agent frameworks and cloud-native AI infrastructure This role is ideal for someone passionate about building scalable secure and human-aligned AI systems that can reason plan and act autonomously in complex environments Must have skills 1 Architect and implement agentic AI systems integrating LLMs planning modules memory and tool-use capabilities 2 Design and deploy multi-agent orchestration frameworks for enterprise use cases e g customer service operations R D 3 Build and manage cloud-native AI pipelines using both AWS and Azure AI services 4 Collaborate with cross-functional teams to translate business needs into AI-driven cloud solutions 5 Define and enforce AI governance safety and ethical standards in system design 6 Evaluate and integrate open-source and proprietary AI tools including vector databases orchestration frameworks e g LangGraph CrewAI and cloud-native AI platforms 7 Lead proof-of-concept PoC initiatives and scale successful prototypes into production-ready systems 8 Stay ahead of emerging trends in agentic AI autonomous systems and cognitive architectures Good to have skills 1 Any AI ML certification 2 Prior experience with working in Azure data factory environment 3 Azure certifications e g Azure Data Engineer Associate Azure Solutions Architect Expert 4 Working experience with stored procedures in SQL server oracle 5 Any prior working experience with any ETL tool like Informatica Datastage Ab Initio Talend SSIS etc Key responsibilities 1 7 years of experience in AI ML systems architecture with at least 2 years in agentic or autonomous AI 2 Deep understanding of LLMs prompt engineering vector search and tool augmentation 3 Hands-on experience with cloud AI services including - Azure AI Stack Azure OpenAI Service Azure ML Studio Cognitive Services Azure Functions AKS - AWS AI Stack Amazon SageMaker Bedrock Lambda Step Functions ECS EKS DynamoDB 4 Expertise in Databricks on Azure for large-scale data engineering and transformation workflows including the use of PySpark Scala Delta Lake and MLflow Familiarity with Notebook-based collaboration and version-controlled data pipelines 5 Worked with Structured semi-structured JSON Parquet and unstructured data 6 Familiarity with orchestration frameworks like LangChain LangGraph CrewAI AutoGen or Semantic Kernel 7 Strong programming skills in Python Scala Kafka and experience with containerization Docker Kubernetes 8 Experience with Advanced RAG algorithms multi-agent simulations reinforcement learning or cognitive architectures 9 Knowledge of AI observability monitoring and MLOps best practices 10 Familiarity with AI safety interpretability and alignment principles 11 Contributions to open-source AI projects or publications in AI conferences 12 Understanding data engineering pipelines and real-time data streaming e g Kafka Kinesis 13 Robust knowledge of data modeling data governance and data security principles 14 Experience in data privacy regulations e g GDPR HIPAA in multi-country data environments 15 Proficiency in SQL T-SQL or SparkSQL for developing complex queries views stored procedures and optimization 16 Solid experience in Python especially data manipulation libraries like pandas numpy and integration with PySpark 17 Good understanding of REST APIs and experience with building consuming APIs for data exchange Familiarity with OAuth2 0 token-based authentication and secure API practices in cloud environments Education Qualification 1 Minimum Bachelor s degree in computer science Information Systems or related field Certification If Any 1 Any AI ML certification Shift timing 12 PM to 9 PM and or 2 PM to 11 PM - IST time zone Location DGS India - Mumbai - Goregaon Prism Tower Brand Merkle Time Type Full time Contract Type Permanent