AI Developer Enterprise Data & Intelligent Automation - 100% Remote

AI Developer — Enterprise Data & Intelligent Automation 100% Remote About the Role We are seeking an AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions. You will have a voice throughout the full development lifecycle — from concept through deployment — of cloud-native systems that securely manage, process, and enable unstructured data at enterprise scale. This is a strategic technical role combining AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, vector databases, agentic AI frameworks (Agent Core, LangGraph, MCP), agent-to-agent (A2A) integration patterns, and workflow orchestration platforms to deliver transformative capabilities across the organization. Key Responsibilities Develop AI-Enabled IDP Solutions: Build intelligent document processing pipelines that extract, classify, and enrich unstructured data using modern AI/ML approachesCloud Architecture & Implementation: Design and implement scalable, secure solutions on AWS (S3, compute, networking), Snowflake data platforms, and vector database infrastructureAgentic AI & Automation: Develop and integrate autonomous agents using frameworks like Agent Core, LangGraph, and Model Context Protocol (MCP) to process and route enterprise data with minimal human interventionAgent-to-Agent (A2A) Integration: Build and implement A2A communication patterns enabling autonomous systems to coordinate and hand off work across the enterpriseWorkflow Orchestration: Design, build, and operate complex, production-grade workflows using orchestration frameworks (e.g., Step Functions, Airflow, Temporal); ensure reliability, auditability, and complianceVector Database Implementation: Architect and implement vector database solutions to support semantic search, RAG pipelines, and embeddings-based retrieval at scaleBackend & Service Development: Build synchronous and asynchronous services, APIs, and microservices supporting document ingestion, processing, and downstream consumptionData Governance & Security: Apply data management principles — cataloging, lineage, retention, data protection — with healthcare compliance (HIPAA) and security as a foundational requirementMentorship & Collaboration: Partner with data engineers, platform teams, and business stakeholders to translate requirements into technical solutions; mentor junior engineersRequired Qualifications 5 years of professional software development experience, with at least 2 years focused on AI/ML development or data engineering in production environmentsHands-on experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, pgvector, or similar) supporting RAG or semantic search use casesDirect, production experience with A2A (agent-to-agent) frameworks/patternsProven experience with workflow orchestration tools (AWS Step Functions, Apache Airflow, Temporal, or equivalent) in productionWorking experience with MCP (Model Context Protocol) for connecting agents/tools to data and servicesHands-on experience with Agent Core or equivalent agentic AI frameworkDirect experience with AWS Bedrock for foundation model deployment/integrationHands-on experience with AWS S3 and core AWS compute servicesBroader AWS platform proficiency (EC2, networking, security fundamentals)Production experience with Snowflake or an equivalent modern cloud data warehouseProficiency in backend/service development: building scalable APIs, microservices, or event-driven systemsAI/ML development experience: building, training, deploying, and operationalizing AI models; working knowledge of LLMs, foundation models, prompt engineering, and RAG architecturesEnterprise software practices: CI/CD, testing, code review, security best practices, and regulatory compliance (healthcare experience a strong plus)Preferred Qualifications Direct experience with intelligent document processing (IDP), OCR, ICR, NLP, or information extractionExperience with LangGraph or similar agent orchestration frameworksPrompt engineering and RAG for domain-specific applicationsHealthcare industry backgroundContributions to unstructured data and AI projectsAdvanced degree (BS/MS) in Computer Science, Data Science, or related fieldExperience across multiple domains (healthcare, financial services, etc.)Experience with Agile, Waterfall, or hybrid delivery methodologyRequired Work Experience: 5 years related work experience; professional experience with technical design and coding in the IT industry Required Education: Related Bachelor's degree or equivalent related work experience Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal,