Lorven Technologies

Participate in data migration, cleansing, and design of cloud-based data stack and analytics platforms for child welfare case management. | 8+ years in multidimensional DB design, ETL, data quality, ERD, and analytics projects; 3+ years with cloud data stack; excellent communication skills. | Role: Lead Data Specialist Location: Jackson, MS - 100% remote role Contract Role Job description: Seeks an experienced professional to participate in planning and execution of data cleansing and data migration initiatives and concurrently participate in development of data models, data stack architecture, technical implementation and other critical functions of data management that will enable evidence based Child Welfare Practice. POSITION SUMMARY: This position is full-time (40 hours weekly) and requires an individual to participate as a significantly contributing team member on the MDCPS Data Management Team (DMT). The near-term scope of this team and this position includes participating in data related migration and design activities on the replacement of legacy case management system with the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data stack to enable robust and actionable analytics capabilities at MDCPS. This individual will be reporting to the lead architect on DMT. MAJOR RESPONSIBLITIES: Support and participation in Identification and management of data-related issues / risks and gaps Understanding, conceiving and documenting source and target-state data architectures for applications and cloudbased data analytic platforms Data Pipeline Design and Implementation Development of subject matter expertise in business drivers, business semantic meaning and business practice when providing data management services. Design and Development of ETL architecture and technical work packages Deliver on measurable improvements of data quality metrics Entity Relationship Diagramming, Business Vocabulary, Data Dictionary, Multi-Dimensional Models, Semantic Models Data mapping specifications for migration from large legacy database to new case management application, entity relationship diagrams, data base schema, data dictionary, transformation lineage, business vocabulary/semantic models. Data Set Catalogue Planning and Implementation. Provisioning and managing meta data in the data stack Identifying business rules for complex business metrics and coding calculations for those metrics. Semantic model design and development with time series, hierarchical/drill down views for child welfare metrics Required Skills/Experience: To be considered, all proposed consultants must meet the following mandatory requirements: • Eight (8) years of experience with Multidimensional Model Data Base Design, ETL design and development. • Eight (8) years of experience with data quality and master data management integration. • Eight (8) years of experience with ERD's, business vocabulary, data dictionary and database schema mapping. • Eight (8) years of data analytic implementation projects • Three (3) years of experience with cloud-based data stack tool and platforms • Excellent English-speaking skills, written communication skills, and knowledge transfer skills Preferred/Not Required: Preferred Qualifications: • Experience in Child Welfare data modeling, case management and analytics • Experience with data quality and data exchange components of federal requirements for Child Welfare • management systems • Prior CCWIS experience • Ability to communicate effectively • Ability to build a positive, productive rapport with team members

Lead design and implementation of enterprise-scale AI solutions for financial services automation including LLM-based systems, agentic workflows, and advanced RAG architectures. | 15+ years AI/ML architecture experience with 8+ years in enterprise AI, deep expertise in LLMs, Azure OpenAI, Python, financial services domain, and advanced AI system design and governance. | Job Title: AI Architect Location: NYC, NY - Remote (Candidates only from NY / NJ) Duration: Long-term contract Relevant Experience: 15+ Years • AI Architect to lead the design and implementation of enterprise-scale AI solutions for financial services automation. • Drive architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management operations. Required Qualifications: • 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions. • Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (Lang Graph, LangMem). • Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services. • Strong background in Python, distributed systems, and enterprise architecture. • Experience with Claude Code for agentic coding and AI-powered development. • Proven track record in financial services or regulatory compliance environments. • Expert knowledge of RAG architectures, advanced RAG patterns, and vector database optimization. • Experience with Small Language Models (SLM), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP). • Proven ability to architect and scale AI solutions for enterprise workloads (1M+ documents, sub-second response times). Key Responsibilities • Design end-to-end AI solutions for private equity fund operations and financial automation. • Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration. • Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems. • Design and implement advanced RAG architectures, including hybrid search, query routing, and contextual retrieval. • Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP). • Architect Small Language Model (SLM) integration for specialized tasks and cost optimization. • Design enterprise-scale solutions supporting millions of documents with sub-second query response times. • Establish AI governance, model safety protocols, and regulatory compliance frameworks. • Lead architectural reviews for distributed AI systems, micro services, and cloud-native deployments. • Hands-on development using Claude Code for rapid prototyping and agentic workflows. • Drive architectural reviews for LlamaParse/Azure Document Intelligence integration. • Design fault-tolerant, high-availability AI systems with automatic failover and load balancing. • Establish comprehensive monitoring, observability, and performance optimization strategies. • Mentor technical teams and establish AI engineering best practices using modern toolchains. • Oversee model performance evaluation using LangGraph evals and DeepEval frameworks.