About the RoleWe 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 ResponsibilitiesArchitect 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.RequirementsSkills & Experience RequiredProven 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 Node.js 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 QualificationsExposure 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.
