AI Lead – Agentic AI
Shaik Sohail N ACONTRemoteLEADPosted 1h ago
AWS CloudS3SageMakerRedshiftGlueBedrockEKSLambdaVPCserverless architectureLLMsGenerative AIAgentic AIPyTorchTensorFlowLangChainSnowflakeDatabricksApache SparkETL/ELTlarge-scale data processingData LakehouseData Meshreal-time analyticsenterprise AI architectureTerraformAWS CloudFormationAWS IAMGuardDutydata privacyAI governanceresponsible AI practices
About the Role
We are looking for an experienced AI Lead – Agentic AI to drive innovative AI solutions from Proof of Concept (PoC) to enterprise-scale production deployment.
Key Responsibilities
• Design AI/ML architectures for LLMs, Generative AI, Agentic AI, and predictive analytics.
• Lead AWS cloud architecture, including VPC, Lambda, serverless solutions, and FinOps.
• Modernize legacy data platforms using Data Lakehouse and Data Mesh architectures.
• Establish AI security, privacy, governance, and responsible AI guardrails.
• Implement AWS security best practices using IAM, GuardDuty, and related services.
• Drive enterprise AI solutions from PoC through production deployment.
Requirements
• AWS Cloud: S3, SageMaker, Redshift, Glue, Bedrock, EKS, Lambda, VPC, and serverless architecture.
• AI/ML & Agentic AI: LLMs, Generative AI, Agentic AI, PyTorch, TensorFlow, and LangChain.
• Data Engineering: Snowflake, Databricks, Apache Spark, ETL/ELT, and large-scale data processing.
• Data & Solution Architecture: Data Lakehouse, Data Mesh, real-time analytics, and enterprise AI architecture.
• Infrastructure as Code: Terraform or AWS CloudFormation.
• Security & Governance: AWS IAM, GuardDuty, data privacy, AI governance, and responsible AI practices.
Preferred Qualifications
• AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer.
• Experience designing and managing petabyte-scale data platforms.
• Proven track record of moving AI solutions from PoC to enterprise production.
• Strong leadership and architectural decision-making skills.