AI Senior Specialist

Role & responsibilities

• Design, develop, test, and deploy AI, Machine Learning, and Generative AI solutions to solve business challenges.
• Build and optimize Large Language Model (LLM), Retrieval-Augmented Generation (RAG), AI Agent, and conversational AI applications.
• Develop AI-powered applications using Python, Azure AI Services, OpenAI, LangChain, Semantic Kernel, and related frameworks.
• Integrate AI solutions with enterprise applications, APIs, databases, SharePoint, Power Platform, and cloud services.
• Design scalable and secure AI solution architectures following enterprise development standards and best practices.
• Develop prompt engineering strategies and optimize model performance, response quality, and cost efficiency.
• Create reusable AI components, libraries, accelerators, and frameworks to support solution delivery.
• Collaborate with business analysts, developers, automation engineers, and data teams to translate requirements into technical solutions.
• Troubleshoot and resolve issues related to AI models, integrations, data pipelines, and production deployments.
• Monitor AI application performance, reliability, security, and scalability in production environments.
• Conduct code reviews and provide technical guidance to junior developers and AI engineers.
• Implement Responsible AI, security, data privacy, and compliance requirements within AI solutions.
• Support CI/CD, MLOps, model deployment, version control, and lifecycle management practices.
• Stay current with emerging AI technologies, frameworks, and industry trends, recommending relevant technical enhancements.

Preferred candidate profile

• Bachelor's degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, or a related field.
• experience in software development, Artificial Intelligence, Machine Learning, Data Engineering, or Intelligent Automation.
• Hands-on experience developing and deploying AI/ML and Generative AI solutions.
• Strong expertise in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and Conversational AI.
• Advanced programming skills in Python, SQL, and modern software development practices.
• Experience with Azure AI Services, Azure OpenAI, Microsoft AI Foundry, AWS AI, or Google Cloud AI platforms.
• Strong knowledge of AI frameworks such as LangChain, Semantic Kernel, Hugging Face, PyTorch, TensorFlow, or similar technologies.
• Experience building REST APIs, microservices, and integrating AI solutions with enterprise systems.
• Knowledge of vector databases, embeddings, semantic search, and knowledge management architectures.
• Experience with MLOps, Git, Azure DevOps, CI/CD pipelines, model monitoring, and production deployment.
• Experience with Microsoft Copilot, Copilot Studio, Power Platform, Databricks, and automation technologies are preferred.
• Strong troubleshooting, analytical, and problem-solving skills.
• Ability to mentor technical team members and contribute to solution architecture reviews.
• AI, Azure, Cloud, or Data-related certifications are preferred.