AI Systems Integration Specialist

1 day ago

Bengaluru, Karnataka, India Zone IT Solutions Full time US$ 1,04,000 - US$ 1,30,878 per year
About the Role

We are seeking an experienced AI Systems Integration Specialist to lead the design, development, and deployment of AI-driven solutions across enterprise environments. This role requires expertise in integrating AI/ML models, APIs, and platforms into existing business systems, ensuring seamless interoperability, scalability, and performance. You will work closely with cross-functional teams to bridge the gap between data science, software engineering, and enterprise applications.

Key Responsibilities
  • Architect and implement end-to-end AI system integrations across ERP, CRM, and enterprise platforms.
  • Develop and manage APIs, microservices, and middleware to support AI-driven applications.
  • Collaborate with data scientists, developers, and product teams to bring AI models into production.
  • Ensure system compatibility, data flow, and performance optimization between AI solutions and core IT systems.
  • Deploy AI workloads on cloud (AWS, Azure, GCP) and hybrid environments.
  • Define and enforce integration standards, security policies, and compliance guidelines.
  • Monitor and troubleshoot integration pipelines, ensuring high availability and reliability.
  • Provide technical leadership on best practices for AI adoption and integration strategies.
Skills & Experience Required
  • Proven experience as a Systems Integration Specialist, AI Engineer, or Solutions Architect.
  • Hands-on expertise in AI/ML model deployment and integration.
  • Strong knowledge of APIs, web services (REST, GraphQL), and middleware platforms.
  • Proficiency in Python, Java, or with exposure to AI frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with ETL pipelines, data engineering, and workflow automation.
  • Familiarity with enterprise applications (SAP, Salesforce, Dynamics) and integration tools (MuleSoft, Dell Boomi, Apache Kafka).
  • Strong understanding of cloud-native architectures, containers (Docker, Kubernetes), and CI/CD pipelines.
  • Excellent problem-solving, documentation, and communication skills.
Preferred Qualifications
  • Exposure to AI-driven automation and intelligent workflows (e.g., RPA + AI).
  • Experience with MLOps tools for monitoring and managing AI models.
  • Knowledge of cybersecurity, data governance, and compliance frameworks in AI integrations.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
Why Join Us?
  • Opportunity to shape enterprise-wide AI adoption strategies.
  • Work with leading-edge AI and integration technologies.
  • Collaborative environment with a focus on innovation and scalability.
  • Competitive compensation, growth, and professional development opportunities.

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