AI Cloud Engineer

AI Cloud Engineer

About the Role

• Position: AI Cloud Engineer
• Location: Hybrid in Newark, NJ
• Type: Right to Hire (RTH)
• Experience: 3-5 years
• Pay: $55-$65 per hour on W2, depending on experience (No C2C)
• Build and deploy enterprise-scale agentic AI solutions supporting business workflows, decision support, operational intelligence, and customer engagement
• Hands-on engineering role delivering production-grade AI agents using AWS Bedrock, Amazon Bedrock AgentCore, and governed cloud-native architectures
• Partner with architects, data teams, product owners, and Responsible AI stakeholders

Key Responsibilities

• Develop cloud-native microservices, APIs, and event-driven components using Python, JavaScript/TypeScript, FastAPI, AWS Lambda, and EventBridge
• Build and deploy enterprise AI agents using Amazon Bedrock AgentCore, Bedrock models, AgentCore Gateway, and agent-to-agent communication
• Implement data ingestion, embeddings, vector search, semantic retrieval, knowledge graph, and memory pipelines
• Develop intent classification, tool routing, workflow orchestration, guardrails, and human-in-the-loop escalation patterns
• Integrate agents with enterprise systems such as Salesforce, Genesys, Denodo, APIs, MCP tools, and event streams
• Build evaluation, monitoring, and tracing for agents, including quality metrics, hallucination and safety checks, latency, and cost
• Uphold enterprise standards for security, IAM, data protection, auditability, Responsible AI, and production reliability
• Lead implementation of specific agent workstreams and mentor associate and mid-level engineers

Required Qualifications

• 3-5 years of software engineering experience delivering cloud-native applications or AI/ML-enabled platforms
• Strong proficiency in Python and JavaScript/TypeScript, including API development, async processing, test automation, and production debugging
• Experience with microservices, APIs, event-driven workflows, and secure enterprise integrations
• Hands-on AWS experience: serverless, containers, messaging/eventing, IAM, observability, and cloud-native deployment
• Recent experience building enterprise GenAI or agentic AI solutions, including agents, agentic RAG, and multi-step orchestration
• Experience with Amazon Bedrock, Amazon Bedrock AgentCore, or comparable LLM and agent runtime platforms
• Experience with LangGraph, LangChain, Strands, MCP, A2A protocols, or comparable multi-agent frameworks
• Experience with model evaluation, prompt engineering, agent quality testing, and LLM-as-judge patterns
• Experience with vector databases, embeddings, semantic search, knowledge bases, and memory stores
• Experience implementing AI guardrails, safety controls, access controls, audit logging, and human escalation paths
• Strong understanding of application security, data governance, scalability, and production operations

Preferred Qualifications

• Experience with AWS EventBridge, MSK, SNS/SQS, Step Functions, API Gateway, and container services
• Experience delivering AI or data products in financial services, insurance, or other regulated environments
• Familiarity with enterprise data products, semantic layers, Denodo, knowledge graphs, and Neptune/OpenSearch
• Experience integrating agents with CRM, service, telephony, or workflow platforms such as Salesforce or Genesys

Ideal Candidate

• Strong software engineer with recent enterprise GenAI and agentic AI experience
• Enjoys turning ambiguous business use cases into reliable, governed, production-ready agents
• Comfortable working across cloud architecture, data integration, AI orchestration, and production operations