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# Information Technology_USA - USA_Developer job in Jacksonville

- **Company:** Real Soft Inc.
- **Location:** Raleigh, NC, United States
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, AI Evaluation, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Software, Continuous Integration, Information Engineering, Elasticsearch, Identity and Access Management, Information Retrieval, Python (Programming Language), Meta-Data Management, NoSQL, Search Technologies, Amazon Simple Notification Service (SNS), Software Engineering, SQL Databases, LangChain, Retrieval-Augmented Generation, System Availability, Delivery Pipeline, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Hallucination Detection, Llamaindex, Generative AI, Amazon Virtual Private Cloud (VPC), Agentic-AI, Git, Cloudformation, Servicebus, AI Platforms, Information Technology, Amazon Bedrock, Functional Programming, Artificial Intelligence Governance, Cloudwatch, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Amazon OpenSearch, Data Pipelines, Devsecops
- **Published:** October 27, 2026
- **Apply:** https://jobs.diversity.com/career/2543373/information-technology_usa-usa_developer-florida-fl-jacksonville

## About the Role

&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 "

## Description

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