Remote AI Developer

JOB TITLE: Sr. AI Developer
JOB LOCATION: Remote
WAGE RANGE*: 58 - 63/ hour - must be w2
JOB NUMBER: 20690

REQUIRED EXPERIENCE:
5+ years related work experience, Professional experience with technical design and coding in the IT industry

Required Education:
Related Bachelor's degree or related work experience

Technology Must Haves:
Vector DB
A2A Framework
Workflow Orchistration/Development
MCP
Agent Core
Bedrock
S3
AWS
Snowflake

JOB DESCRIPTION

We are seeking a Senior AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions for our enterprise. 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 that combines AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, agentic AI frameworks (AgentCore, LangGraph, etc.), automation-to-automation (A2A) solutions, 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 approaches
Cloud Architecture & Implementation: Design and implement scalable, secure solutions leveraging AWS (S3, compute, networking), Snowflake data platforms, and related managed services
Agentic AI & Automation: Develop and integrate autonomous agents using frameworks like AgentCore and LangGraph to process and route enterprise data with minimal human intervention
Workflow Orchestration: Design and implement complex, production-grade workflows using orchestration frameworks; ensure reliability, auditability, and compliance
Backend & Service Development: Build synchronous and asynchronous services, APIs, and microservices that support document ingestion, processing, and downstream consumption
Data Governance & Security: Apply data management principles, such as cataloging, lineage, retention, data protection, with healthcare compliance (HIPAA) and security as a foundational requirement
Mentorship & Collaboration: Partner with data engineers, platform teams, and business stakeholders to translate requirements into technical solutions; mentor junior engineers

Required Qualifications
5+ years of professional software development experience, with at least 2 years focused on AI/ML development or data engineering in production environments
Proficiency in backend/service development: Demonstrated expertise building scalable APIs, microservices, or event-driven systems
Cloud platform expertise: Hands-on experience with AWS (S3, EC2, or similar) and modern data warehouses (Snowflake or similar)
AI/ML development: Experience building, training, deploying, and operationalizing AI models; including working knowledge of LLMs, foundation models, prompt engineering, RAG architectures, and agentic frameworks.
Workflow orchestration: Proven experience with AWS Step Functions, Apache Airflow, Temporal, or equivalent orchestration tools in production
Data management fundamentals: Strong grasp of data modeling, pipeline architecture, quality assurance, and governance principles
Enterprise software practices: Comfortable with 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 extraction
Hands-on experience with agentic AI frameworks (AgentCore, LangGraph, or similar)
Experience with A2A (automation-to-automation) integration patterns
Experience with AWS Bedrock, Claude, or other managed foundation model services
Prompt engineering and retrieval-augmented generation (RAG) for domain-specific applications
Healthcare industry background
Contributions to unstructured data and AI projects
Advanced degree (BS/MS) in Computer Science, Data Science, or related field

PREFERRED QUALIFICATIONS:
The preferred qualifications listed below reflect desired knowledge, skill, and/or experience.
Additional Preferred Qualifications:
Various Domain experience; Health Care, Financial, etc
Experience using Agile, Waterfall, or hybrid methodology
Specific