Information Technology_USA - USA_Developer job in Jacksonville

AI Platform Integration &bull Lead onboarding of business applications onto the enterprise AI platform &bull Translate business and AI requirements into AWS infrastructure and platform capabilities &bull Design reusable AI integration patterns and reference architectures &bull Define enterprise standards for AI application integration &bull Support multiple AI initiatives across business domains RAG and Agentic AI Development &bull Design and implement Retrieval-Augmented Generation (RAG) architectures &bull Build AI agents and multi-agent workflows for enterprise use cases &bull Design enterprise knowledge retrieval and semantic search solutions &bull Develop reusable AI orchestration components and AI APIs &bull Integrate enterprise data sources into AI knowledge bases &bull Implement prompt engineering and context management strategies AWS Cloud Platform Engineering &bull Work with AWS Cloud Infrastructure teams to use AI to provision and configure AWS Cloud infrastructure &bull Design cloud-native AI architectures using AWS managed services &bull Support infrastructure automation and deployment pipelines &bull Ensure high availability, scalability, and resilience of AI workloads &bull Coordinate networking, IAM, security, storage, and compute requirements Cross-Team Leadership &bull Act as the primary technical liaison between: o AWS Cloud Infrastructure teams o AI Platform teams o Security and IAM teams o Networking teams o Data Engineering teams o Application Development teams o Enterprise Architecture teams &bull Lead technical workshops and architecture discussions &bull Coordinate cross-functional delivery activities &bull Mentor engineering teams adopting AI capabilities AI Governance and Operational Excellence &bull Ensure AI solutions comply with enterprise security and governance standards &bull Design secure AI integration patterns &bull Implement AI guardrails and Responsible AI controls &bull Support AI evaluation, monitoring, and observability &bull Drive AI platform best practices and reusable accelerators”

“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, Sematic 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

&bull Experience with enterprise AI platform implementation &bull Experience in Banking or Financial Services &bull Familiarity with Responsible AI and AI Governance frameworks &bull Experience implementing secure AI solutions in regulated environments &bull AWS Professional or Specialty Certifications &bull Experience with DevSecOps and Platform Engineering practices “