Title: AI Integration Engineer Location: US (Remote) Duration: 6 to 12 months contract About the Company: Since its founding in 1996, CTC has grown into a trusted global partner in AI & ML, Enterprise Applications, Digital Services, Managed Services, and Business Services. With headquarters in Detroit, Michigan, CTC has a team of over 2,000 experts worldwide. We empower more than 100 organizations to tackle complex challenges and transform them into sustainable competitive strengths-driving innovation, efficiency, and growth every step of the way. Our strengths have always been Commitment to Customer, Commitment to Colleagues, and Commitment to Community (CTC). 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.