[Job-29644] MASTER AI / Machine Learning Specialist ( AWS )

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Design and implement multi-agent AI architectures using AWS Bedrock
Develop agent orchestration logic and collaborative agent workflows
Configure and manage AWS Bedrock Agents, Knowledge Bases, and Guardrails
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings
Implement tool integrations using Model Context Protocol (MCP) and API-based services
Optimize LLM behavior through prompt engineering, tuning, and context management
Develop observability and monitoring strategies for AI workflows using CloudWatch and X-Ray
Build scalable event-driven architectures and resilient integration patterns
Design error handling, retry strategies, and graceful degradation mechanisms
Collaborate with engineering, product, and architecture teams to deliver production-grade AI solutions
Support infrastructure automation and deployment pipelines using IaC and CI/CD practices
Ensure governance, security, auditability, and compliance standards across AI systems

Proven experience building production AI/ML systems on AWS
Strong hands-on expertise with AWS Bedrock Agents (AgentCore)
Experience designing multi-agent systems and agent orchestration workflows
Experience with AWS Bedrock Knowledge Bases (RAG), vector embeddings, and OpenSearch Serverless
Expertise with AWS Bedrock Guardrails, including PII protection and content governance
Experience implementing tool calling, function invocation, and state management
Strong prompt engineering and LLM optimization experience
Deep understanding of AWS observability tools: CloudWatch, X-Ray, Distributed tracing
Experience with: API Gateway, DynamoDB, Event-driven architectures
Familiarity with Infrastructure as Code: Terraform, AWS CDK
Strong knowledge of RESTful APIs and integration patterns
Experience with CI/CD pipelines for ML and AI systems
Ability to design resilient and fault-tolerant AI applications
Strong communication, collaboration, and technical documentation skills

Experience with Model Context Protocol (MCP)
Experience with AWS Step Functions for workflow orchestration
Familiarity with: CloudFront, S3, AWS WAF
Knowledge of conversational AI UX patterns and hybrid interaction models
Experience with session persistence and conversation state management
Understanding of compliance and governance requirements: PII handling, Audit trails, Data retention
Experience optimizing AWS Bedrock and OpenSearch operational costs
Familiarity with LLM evaluation frameworks and AI quality metrics
Experience with multi-turn dialogue management and context preservation
Knowledge of explainability and AI reasoning visualization techniques