Forward Deployed Engineer - Dynamo AI

This is a customer-facing infrastructure engineering role owning 3-4 enterprise deployments simultaneously. You will deploy and operationalize AI systems in production environments, integrate Dynamo AI products into customer infrastructure, and bridge customer needs with product and engineering teams. The role requires deep Kubernetes and DevOps expertise with strong customer-facing ownership., * Design enterprise deployment architectures

• Integrate Dynamo AI products into customer infrastructure
• Debug and troubleshoot deployment challenges
• Work directly with engineering, security, compliance, and infrastructure teams
• Translate customer deployment challenges into product feedback
• Support AI governance, evaluation, and observability workflows
• Own 3-4 customer deployments simultaneously
• Bridge customer needs with product and engineering teams, * Round 1 technical with Yash - Kubernetes, networking, DevOps
• Round 2 mock customer deployment with Edwin - live Kubernetes deployment exercise, debugging and adaptation; AI tools allowed
• Round 3 domain expertise and behavioral
• Founder round
• Offer

Do you have experience in Systems integration?, * 3-8 years of post-undergraduate experience

• Strong Kubernetes experience and networking expertise
• DevOps and platform engineering experience
• Distributed systems knowledge and API integration experience
• Enterprise deployment experience with strong scripting skills
• Customer-facing engineering experience
• Ability to work independently
• Comfortable supporting East Coast US or UK customers
• Available for occasional evening collaboration with India-based teams, Strong signals include Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, AI infrastructure startup experience, Kubernetes production ownership, DevOps leadership, enterprise deployment experience, and regulated industry (financial services, healthcare, government) experience. Ideal roles: Forward Deployed Engineer, Solutions Engineer, Infrastructure Engineer, Platform Engineer, DevOps Engineer, SRE, AI Infrastructure Engineer, Technical Implementation Engineer, or Enterprise Solutions Architect., * Master’s degree in Computer Science or Engineering
• Generative AI infrastructure or LLM deployment experience
• Financial services, healthcare, or government technology experience
• AI observability, evaluation frameworks, guardrails, or governance and compliance systems

This Role Is NOT For

• Traditional bank DevOps engineers or legacy enterprise IT backgrounds
• Pure software engineers with no deployment experience
• Candidates without customer-facing experience
• Big-company-only backgrounds without startup adaptation
• Weak Kubernetes knowledge or limited infrastructure ownership