Solutions Engineer

• Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance
• Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements
• Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design
• Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor
• Implement responsible AI practices, addressing bias, security, and compliance in AI systems
• Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions
• Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders
• Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments

AI Solution Architect

Digital Solution Architect

AI and BI Solutions Developer