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

We are building an AI-powered media planning platform that transforms highly manual and expert-dependent workflows into an intelligent conversational experience.

The solution leverages a multi-agent architecture orchestrated through AWS Bedrock to guide users across complex campaign planning processes, integrating real-time enterprise data and generating mathematically optimized media proposals.

The platform combines:

• Agentic AI architectures
• Retrieval-Augmented Generation (RAG)
• Mathematical optimization engines
• Enterprise system integrations
• Workflow automation from opportunity discovery to campaign activation

This is a high-impact initiative focused on building scalable, production-grade AI systems using modern AWS AI/ML services.

As a MASTER AI / Machine Learning Specialist, you will be responsible for designing and implementing the agentic intelligence layer of the platform.

You will architect and develop specialized AI agents capable of collaborating across complex planning workflows, integrating enterprise tools and data sources while ensuring scalability, observability, governance, and production reliability.

This role requires deep hands-on expertise in AWS Generative AI services, multi-agent systems, orchestration patterns, prompt engineering, and production ML operations.

• →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

We are looking for someone who:

• Has strong ownership and autonomy
• Is proactive and solution-oriented
• Can operate effectively in ambiguous and fast-paced environments
• Communicates clearly with both technical and non-technical stakeholders
• Has a product mindset and business-oriented thinking
• Demonstrates urgency, accountability, and collaboration
• Enjoys building scalable AI platforms from the ground up

AWS Bedrock | AgentCore | RAG | OpenSearch | DynamoDB | API Gateway | Lambda | Step Functions | CloudWatch | X-Ray | Terraform | CDK | Python | MCP | CI/CD | Docker | Event-Driven Architecture