We are seeking a skilled and proactive AI Integrator to join our team and lead the integration of artificial intelligence technologies into our business operations, products, and services. This role is pivotal in bridging the gap between data science, engineering, and business units, ensuring the seamless deployment, scaling, and optimization of AI-driven solutions.

You will work closely with stakeholders across product, engineering, data science, and operations to identify opportunities for AI integration, manage implementation, and maintain AI systems post-deployment.

Key Responsibilities:

Collaborate with cross-functional teams to identify and prioritize opportunities for AI integration.

Evaluate and select appropriate AI/ML tools, APIs, and frameworks that align with business objectives.

Deploy and integrate AI models into production environments and existing systems (e.g., CRM, ERP, customer support platforms).

Develop automation workflows using AI tools (e.g., ChatGPT, Claude, Azure AI, Google Vertex AI).

Ensure data pipelines, model outputs, and integrations are reliable, secure, and scalable.

Translate business needs into technical requirements for AI systems.

Monitor, troubleshoot, and optimize deployed AI systems for accuracy, performance, and ethical alignment.

Maintain documentation and provide training or support to internal teams on AI tools and capabilities.

Stay current with AI trends, emerging technologies, and best practices.

Required Qualifications:

Certified specialist in AI or Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.

Familiarity with cloud platforms (AWS, GCP, Azure) and their AI services.

Strong understanding of APIs, microservices architecture, and RESTful integration.

Excellent communication skills and ability to translate complex AI concepts for non-technical stakeholders.

Preferred Qualifications:

Experience with GenAI tools like OpenAI (GPT-4), Anthropic Claude, or Google Gemini.

Knowledge of prompt engineering and small language model (SLM) orchestration.

Experience integrating AI into SaaS or enterprise software products.

Background in data security, compliance, and AI ethics.

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