AI Integration Engineer

CTC; Michigan; On-site; USD 110,000 - 150,000; Full time

Job summary

CTC is seeking experienced AI Integration Engineers to design, develop, and integrate next‑generation healthcare technology solutions. You will work across business, clinical, and technical teams to deliver scalable, secure AI‑driven systems.

The role emphasizes hands‑on software engineering, API integration, and working with Snowflake and LLMs to transform both structured and unstructured healthcare data while ensuring HIPAA‑compliant security and interoperability.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• Strong fundamentals in object‑oriented programming, APIs, and system design patterns.
• Hands‑on AI tech experience: LLMs, agentic AI, and AI‑powered apps.

Responsibilities

• Design, develop, and support integrated AI-enabled healthcare tech solutions.
• Collaborate with business, clinical, and technical stakeholders to deliver secure, scalable solutions.
• Build and maintain integrations between enterprise systems and data platforms.

Skills

OO programming

API development

System architecture

Data structures

CI/CD & DevOps

LLMs

Agentic AI

Snowflake

Communication

Teamwork

Education

Bachelor's degree in Computer Science / Engineering / Information Systems

Job description

Position Summary

Seeking experienced AI Integration Engineers to support the design, development, and integration of next-generation healthcare technology solutions. The ideal candidates will possess a strong foundation in software engineering, hands‑on experience with AI technologies, and the ability to integrate complex healthcare data and systems. Exposure to healthcare interoperability standards and modern AI platforms will be highly valued.

Key Responsibilities

• Design, develop, and support integrated technology solutions leveraging AI and cloud-based platforms.
• Collaborate with business, clinical, and technical stakeholders to deliver scalable and secure healthcare solutions.
• Build and maintain integrations between enterprise systems, applications, and data platforms.
• Develop and optimize workflows utilizing Large Language Models (LLMs) and Agentic AI frameworks.
• Work with data platforms such as Snowflake to ingest, transform, and analyze structured and unstructured healthcare data.
• Implement best practices for software engineering, system design, testing, troubleshooting, and performance optimization.
• Participate in architecture discussions and contribute to innovation initiatives involving AI‑driven healthcare applications.
• Ensure solutions meet security, privacy, and compliance requirements in a healthcare environment.
• Support deployment, monitoring, and ongoing enhancement of integration and AI solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
• Strong understanding of software engineering and engineering fundamentals, including:
  • Object‑oriented programming
  • API development and integration
  • System architecture and design patterns
  • Data structures and algorithms
  • CI/CD and DevOps principles
• Hands‑on experience with AI technologies, including:
  • Large Language Models (LLMs)
  • Agentic AI frameworks
  • AI‑powered application development
  • Experience working with Snowflake or similar cloud data platforms.
• Strong problem‑solving, analytical, and communication skills.
• Ability to work effectively in a collaborative, global team environment.

Preferred Qualifications

• Experience in Integration Engineering.
• Knowledge of healthcare interoperability standards including:
  • HL7
  • FHIR
  • Experience integrating healthcare systems such as EHRs, EMRs, practice management, or revenue cycle platforms.
  • Familiarity with cloud environments such as Azure, AWS, or Google Cloud Platform.
  • Understanding of healthcare data governance, HIPAA, and security best practices.
  • Experience with API management, middleware solutions, and event‑driven architecture.

Nice‑to‑Have Skills

• Healthcare industry experience.
• Experience with AI orchestration tools and frameworks.
• Exposure to machine learning operations (MLOps).
• Experience building healthcare data pipelines and interoperability solutions.

Success Factors

• Passion for leveraging AI to improve healthcare operations and patient outcomes.
• Strong collaboration and stakeholder management skills.
• Ability to balance innovation with regulatory and operational requirements.
• Self‑motivated with the ability to work independently in a fast‑paced environment.