The following requirement is open with our client.
Title : Senior AWS AI Platform Engineer
Location : Raleigh, NC (Onsite)
Duration : 6+ Months
Rate : $57/hr on W2
Relevant Experience : 9+
Job Description:
· AI Platform & Architectural Integration: Drive the onboarding of downstream enterprise business applications onto the central AI platform. Translate dense functional AI requirements into secure AWS cloud infrastructure architectures and standard-setting reusable integration topologies.
· RAG & Agentic System Development: Design and implement production-grade Retrieval-Augmented Generation (RAG) frameworks. Build automated AI agents, multi-agent orchestration pipelines, enterprise semantic search blocks, and advanced context/prompt engineering workflows.
· Cloud Platform Engineering: Partner with core cloud infrastructure groups to configure and scale AWS compute, container, and serverless arrays (VPC, IAM, EC2, ECS, EKS, Lambda, S3, API Gateway) utilizing Terraform.
· Vector & Knowledge Base Orchestration: Build, partition, and maintain data ingestion hooks into Vector databases and Amazon OpenSearch. Develop strategic data chunking models, metadata management registries, and document processing systems.
· Responsible AI & Governance Control: Configure robust security guardrails, data privacy filters, and mitigation engines to handle LLM hallucinations, enforce compliance controls, and track pipeline metrics using Amazon Bedrock Guardrails, CloudWatch, and custom evaluation tools.
· Cross-Functional Technical Leadership: Act as the primary technical liaison among isolated security, network, data, and software development squads, running architecture workshops, maintaining delivery roadmaps, and mentoring junior staff.
Must-Have Skills:
• AWS
• Bedrock
• RAG
• Python
• Kubernetes
