GenAI Engineer

Build Generative AI Solutions:

• Architect and advise on scalable, future-proof AI solutions tailored to business needs.
• Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision.
• Develop and optimize pipelines for training, evaluating, and deploying generative models in production environments.
• Innovate and refine prompt engineering strategies to enhance model performance and interaction.

Collaboration & Communication:

• Work closely with business departments, data scientists and, software engineers to seamlessly integrate generative AI into applications and workflows.
• Develop comprehensive technical documentation and present findings to both technical and non-technical stakeholders.

Platform Administration & Optimization:

• Perform administrative tasks such as setting up new resources for our internal customers.
• Ensure effective lifecycle management of applications

Security & Risk Management:

• Implement and maintain robust data security measures, including encryption, sensitivity labeling, and access controls.

Training & Support:

• Develop training materials, best practices, and guidelines to empower users at all levels.
• Serve as the primary point of contact for AI-related inquiries, troubleshooting, and issue resolution.

• Bachelor’s degree in information technology, Data Management, Business Intelligence, or a related field.
• 5+ years of experience in AI/ML engineering.
• 2+ years experience specifically focused on Generative AI platforms and solutions.
• Proven experience in designing and deploying Generative AI-powered applications in enterprise environments, with expertise in use cases such as intelligent chatbots, virtual assistants, document summarization, and semantic search.
• Power Platform Skills: Hands-on experience with Microsoft Power Platform, including Copilot Studio, Power Apps, Power Automate, Power Pages, and Dataverse.
• Azure Skills: Solid knowledge of Azure Search, Azure Cognitive Services, Azure Document Intelligence, and AI Foundry.
• AI Understanding: Familiarity with LLMs, RAG, multi-agent systems, prompt engineering, and AI safety. Critical engagement with the opportunities and risks of advanced AI systems.
• DevOps: Strong knowledge of DevOps, experience with Git and CI/CD.
• Solution Architecture: Capable of designing, optimizing, and developing scalable solutions based on the Power Platform.
• Programming Basics: Basic understanding of loops, conditionals, variables, and functions. Also experienced with languages like YAML (commonly used in Copilot Studio).
• Strong understanding of enterprise data governance, security, and compliance requirements, especially when working with sensitive data across cloud platforms.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.