Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. Mentor junior engineers and contribute to internal best practices for FDE delivery.