Dynamo AI

Leads Level 1 technical triage for a B2B AI deployment in India, diagnosing issues across ML systems, applications, APIs, infrastructure, and networking before coordinating escalations. The role requires 5–9 years of technical or production support experience and strong incident communication and ownership.

The manager will help UK and European financial-services customers design, deploy, and operationalize AI risk evaluations and guardrails. The role requires 3–6 years of controls, risk, assurance, audit, compliance, or regulated-industry consulting experience, with strong stakeholder and project-management skills.

The Associate will help financial services customers design and operationalize AI risk evaluations and guardrails, translating regulations into practical controls while coordinating product strategy, quality assurance, roadmap tracking, and industry engagement. The role requires 3–6 years of strategy, risk, or product experience and strong stakeholder communication.

Operationalize AI deployments for strategic enterprise customers by shaping use cases, implementation strategies, governance workflows, and production adoption. The role requires at least two years in a customer-facing strategy or technology role and the ability to bridge technical and commercial stakeholders.

Leads enterprise solution architecture and hands-on platform engineering for production AI deployments. The role requires 8+ years of software engineering experience, distributed-systems expertise, Kubernetes and cloud proficiency, and strong customer-facing technical leadership.

Forward Deployed Engineer works directly with enterprise customers to deploy and operationalize AI guardrails, evaluation frameworks, and observability systems in regulated industries. Requires strong software engineering experience in distributed systems, Kubernetes, and enterprise integrations.

Operationalize Dynamo AI’s platform for strategic enterprise customers by shaping AI use cases, deployment strategies, governance workflows, and production adoption. The role combines customer strategy, technical implementation, stakeholder management, and commercial support, requiring at least two years of relevant customer-facing experience.

Deploy and operationalize AI reliability, guardrail, evaluation, and observability products within complex enterprise environments. The role partners directly with customer engineering and governance teams and requires strong software engineering, production debugging, Kubernetes, API, platform engineering, and enterprise integration experience.

Senior Forward Deployed Engineer deploying and integrating AI guardrails, evaluation frameworks, and observability tools into enterprise environments, especially in regulated industries. Requires strong software engineering experience in distributed systems, Kubernetes, and APIs.

Leads hands-on deployment and operationalization of AI products in enterprise Kubernetes environments, owning architecture, troubleshooting, production readiness, and customer delivery. Requires 5+ years of infrastructure or customer engineering experience, strong Kubernetes and cloud expertise, and the ability to resolve complex deployment issues.

Senior Forward Deployment Strategist bridging engineering and enterprise customers to operationalize AI systems. Requires 5+ years in customer-facing technical roles with strong AI/cloud knowledge.

This role partners with enterprise and regulated-industry customers across the UK and Europe to drive adoption, deployment success, and long-term value from an AI platform. It requires strong stakeholder management, cross-functional coordination, and comfort working with both business and technical teams.

Designs threat models and experiments for agentic AI security risks, builds prototypes with fine-tuned models and analysis tools, and turns research into scalable product defenses. Requires MS/PhD in CS/ML, production coding skills, and security mindset.

Builds and owns backend services, frontend dashboards, CLIs, and deployment infrastructure for Agent Warden, an AI security platform for agentic systems. Requires strong full-stack skills with AI-assisted workflows and enterprise reliability focus.