Lead .NET AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. The company is committed to having a positive impact on customers, employees, and communities. EPAM embraces a dynamic and inclusive culture, collaborating with multi-national teams on innovative projects delivering cutting-edge solutions. Employees have opportunities to continuously learn and grow within a dedicated, creative, and diverse community.

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
• Over 7 years of professional software development experience, including 3+ years in a leadership role
• Strong expertise in .NET Framework and/or .NET Core development
• Proven experience with cloud-native development on Microsoft Azure (e.g., App Services, Functions, Cognitive Services, Azure AI tools)
• Hands-on experience integrating OpenAI APIs, GPT models, or similar AI/ML frameworks
• In-depth understanding of RESTful APIs, microservices architecture, and event-driven design
• Proficiency in containerization (Docker, Kubernetes) and infrastructure as code (Terraform, ARM templates, Bicep)
• Familiarity with CI/CD pipelines using Azure DevOps or similar tools
• Strong leadership and mentoring abilities, with excellent communication skills
• Capability to thrive in a collaborative Agile environment

Nice to have:

• Familiarity with AI model training, fine-tuning, and deployment workflows
• Experience in real-time data processing and streaming technologies
• Background in creating conversational AI/chatbots or natural language processing applications
• Knowledge of security standards and compliance for AI and data handling applications

• Lead the design, development, and deployment of AI-driven solutions using .NET, Azure cloud services, and OpenAI APIs
• Architect scalable, maintainable, and secure applications with integrated AI models and natural language processing capabilities
• Collaborate with data scientists, AI specialists, and product owners to transition AI research into production-level software
• Drive technical best practices in coding, architecture, testing, and DevOps for AI development
• Provide mentorship and leadership to developers, promoting knowledge sharing and technical growth
• Oversee project planning, sprint execution, and delivery to ensure timely alignment with business objectives
• Implement CI/CD pipelines, automated testing, and infrastructure-as-code solutions on Azure
• Ensure compliance with data privacy and security standards in AI solutions
• Keep up-to-date with the latest AI technologies and cloud innovations to enhance platform capabilities