Integration Technical Architect (AWS/AI)

Vantive•Deerfield, IL

3d•$124,000 - $170,000•Hybrid

About The Position

Vantive is seeking an AWS Technical Architect with a strong integration background to design and deliver cloud solutions that connect clinical, operational, and commercial systems. This role is part of an established architecture team, contributing to solution design and hands-on delivery while progressing towards senior architectural leadership. The position operates at the intersection of cloud infrastructure, enterprise integration, and healthcare technology, aiming to modernize system connectivity to support patient care.

Requirements

3+ years of hands-on experience building solutions on AWS.
Solid knowledge of core AWS services: Lambda, API Gateway, ECS, Step Functions, DynamoDB, RDS, S3, SQS/SNS, EventBridge.
Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation).
Understanding of AWS Well-Architected Framework principles.
Working knowledge of networking concepts (VPC, security groups, PrivateLink).
Experience with monitoring and observability (CloudWatch, X-Ray).
Demonstrated experience designing and implementing integration solutions.
Strong understanding of API-first design, RESTful APIs, and asynchronous messaging patterns.
Familiarity with integration patterns: event sourcing, pub/sub, saga, request-reply.
Experience integrating enterprise systems (ERP, CRM, clinical systems, or supply chain platforms).
Knowledge of data transformation, mapping, and protocol mediation.
Experience with middleware, iPaaS, or integration platforms.
General Understanding of DevOps practices and CI/CD pipelines.
Ability to produce clear technical documentation and architecture diagrams.
Comfortable working in agile delivery teams.
Bachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience).
5–8+ years total experience in software engineering or architecture roles.
AWS Solutions Architect Associate certification (Professional certification is a plus).
Good communication skills with ability to explain technical concepts to varied audiences.

Nice To Haves

Awareness of healthcare data standards (HL7, FHIR) is a plus.
Awareness of AI/ML concepts and how they apply to enterprise workflows.
Familiarity with cloud-based AI/ML services (any provider) such as natural language processing, document extraction, or predictive analytics.
Interest in or exposure to generative AI, large language models, or AI-assisted automation.
Understanding of how AI capabilities can be integrated into existing application architectures.
Awareness of responsible AI principles and data governance considerations.
Familiarity with agentic AI patterns — autonomous agents that plan, reason, and execute multi-step tasks with minimal human intervention.
Exposure to agent orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or similar).
Understanding of tool-use patterns where AI agents invoke APIs, query databases, or trigger workflows autonomously.
Awareness of multi-agent architectures — coordinating specialized agents for complex business processes.
Interest in applying agentic AI to enterprise use cases such as intelligent document processing, automated decision support, or self-healing integrations.
Understanding of human-in-the-loop patterns, guardrails, and safety mechanisms for autonomous AI systems.
Awareness of memory and context management strategies for long-running agent interactions.
Experience in healthcare, medical devices, or regulated industries.
Familiarity with HIPAA, GxP, or FDA software validation requirements.
Knowledge of containerization (Docker, ECS, Kubernetes).
Experience with data platforms or analytics pipelines.
TOGAF or similar enterprise architecture framework exposure.
Experience working in global or multi-region environments.

Responsibilities

Design and implement AWS-based architectures for integration workloads connecting clinical, supply chain, and enterprise systems.
Develop integration patterns including API design, event-driven messaging, and data synchronization across Vantive's application landscape.
Contribute to architectural standards, design patterns, and technical documentation.
Collaborate with senior architects to translate business and clinical requirements into technical solutions.
Evaluate and recommend appropriate AWS services for specific use cases.
Support delivery teams with technical guidance, design reviews, and troubleshooting.
Participate in solution design for hybrid integration scenarios (cloud-to-on-premise, SaaS-to-platform).
Contribute to infrastructure-as-code practices and CI/CD pipeline design.
Ensure solutions meet healthcare regulatory and compliance requirements (HIPAA, GxP where applicable).