Information Technology_USA - USA_Developer
Real Soft
AWS AI Platform Engineer Location: ONSITE- Raleigh, NC Duration: 6 months Role: AWS AI Platform Engineer Key Responsibilities: AI Platform Integration RAG and Agentic AI Development AWS Cloud Platform Engineering Cross-Team Leadership AI Governance and Operational Excellence AWS Cloud: VPC, IAM, EC2, ECS, EKS, Lambda, S3, API Gateway, CloudWatch, CloudFormation, EventBridge, SNS/SQS, Step Functions, KMS, Secrets Manager, Terraform, Elasticsearch, Cost Analysis, Budgeting AWS AI Services: Amazon Bedrock, SageMaker AI, Amazon Knowledge Bases, Amazon OpenSearch, Amazon Titan, Bedrock Agents, Bedrock Guardrails, Textract, Comprehend, Transcribe, Rekognition, Neptune AI Technologies: RAG architecture, Vector databases, Embeddings, Vector Search, Semantic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex, AI evaluation techniques, Hallucination Mitigation Techniques, AI governance, LLM Models (Anthropic) Programming: Python, Java, REST APIs, SDK integration, Git, CI/CD, Claude Code Data Skills: SQL, NoSQL, Document processing, Data chunking, Metadata management, Data ingestion pipelines Leadership Skills: Executive communication, Cross-functional coordination, Technical leadership, Architecture governance, Stakeholder management Preferred Qualifications: Experience with enterprise AI platform implementation, Experience in Banking or Financial Services, Familiarity with Responsible AI and AI Governance frameworks, Experience implementing secure AI solutions in regulated environments, AWS Professional or Specialty Certifications, Experience with DevSecOps and Platform Engineering practices Real Soft
Vacancy posted 1 day ago
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