AI Integration Engineer

CTC; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

CTC is seeking experienced AI Integration Engineers to design and implement next-generation healthcare technology solutions. You will integrate complex healthcare data, build scalable AI-enabled workflows, and collaborate with global stakeholders to deliver secure, compliant systems.

Ideal candidates bring strong software fundamentals, hands-on AI experience, and proficiency with Snowflake and cloud platforms, enabling impactful integration across enterprise environments.

Qualifications

• Bachelor's degree in CS/Engineering/IS or equivalent.
• Strong software fundamentals including OOP and API development.
• Experience with CI/CD and DevOps.
• Hands-on experience with AI technologies and Agentic AI frameworks.
• Experience with Snowflake or similar cloud data platforms.

Responsibilities

• Design and support integrated AI-enabled healthcare solutions.
• Collaborate with stakeholders to deliver scalable, secure solutions.
• Build integrations between enterprise systems and data platforms.
• Develop workflows using LLMs and Agentic AI frameworks.
• Work with Snowflake to ingest, transform, and analyze healthcare data.
• Follow best practices for software engineering, testing, and performance.
• Participate in architecture discussions and AI initiatives.
• Ensure security, privacy, and regulatory compliance.

Skills

Object-oriented programming

API development

System architecture

Data structures and algorithms

CI/CD and DevOps

AI technologies

Agentic AI frameworks

AI-powered application development

Snowflake

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Job description

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:
• 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.