DUTIES AND RESPONSIBILITIES

1. Lead the technical integration of AI solutions into diverse client environments, including on-premise, cloud-based, and hybrid infrastructures.
2. Collaborate closely with clients, project managers, and development teams to understand integration requirements and design robust, scalable solutions.
3. Develop and maintain integration pipelines, APIs, and data connectors to facilitate seamless data exchange between AI systems and client applications.
4. Troubleshoot and resolve complex integration issues, ensuring minimal disruption to client operations.
5. Develop comprehensive technical documentation, including integration guides, configuration manuals, and troubleshooting procedures.
6. Conduct thorough testing and validation of integrated solutions to ensure performance, reliability, and security.
7. Stay up-to-date with the latest advancements in AI, integration technologies, and industry best practices.
8. Contribute to the continuous improvement of our integration processes and methodologies.
9. Provide technical guidance and support to junior team members as needed.

OTHER RESPONSIBILITIES:

1. Adheres to the provisions of the Company's Code of Conduct and Discipline.
2. Report any fraudulent, suspicious acts or unlawful activities/transactions immediately to the immediate head to pre-empt potential risks to the company.
3. Performs other duties that may be assigned from time to time.
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JOB SPECIFICATIONS:

Bachelor's degree in Computer Science, Engineering, or a related technical field.
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QUALIFICATIONS:

1. 1 + years of experience in solutions integration, enterprise application integration (EAI), or a similar role.
2. Strong understanding of API technologies (REST, SOAP), data formats (JSON, XML), and integration patterns.
3. Hands-on experience with integration platforms and tools (e.g., MuleSoft, Apache Kafka, Dell Boomi, or similar).
4. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration services.
5. Familiarity with database systems (both relational and NoSQL) and data manipulation languages (e.g., SQL).
6. Exposure to AI/ML concepts and technologies is highly desirable.
7. Experience with scripting languages (e.g., Python, Bash) for automation and integration tasks.
8. Excellent problem-solving, analytical, and troubleshooting skills.
9. Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
10. Ability to work independently and as part of a collaborative team in a fast-paced environment

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Preferred Qualification:

1. Experience with specific AI/ML platforms or frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus.
2. Knowledge of containerization technologies (e.g., Docker, Kubernetes).
3. Experience in [mention relevant industry or domain].
4. Certifications in relevant integration technologies or cloud platforms is a plus.

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