Dynamo AI
Lead Forward Deployed Engineer (UK)
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Forward Deployed Engineers
The technical bridge between AI and enterprise adoption
Dynamo AI seeks Forward Deployed Engineers to work directly with enterprise customers and deploy DynamoEval, DynamoGuard, and AgentWarden into scalable, reliable production environments across highly regulated industries—financial services, healthcare, and government.
You will sit at the nexus of engineering, AI reliability, and customer deployment, integrating guardrails, evaluation frameworks, and agentic observability into legacy systems while helping customers validate, monitor, and scale AI solutions.
About the Role
This customer-facing, hands-on engineering role demands deep technical expertise to navigate complex enterprise ecosystems. Your work is equal parts technical desplacement, stakeholder alignment, and AI safety at scale.
- Act as Dynamo AI’s technical representative to customer DevOps, security, and infrastructure teams.
- Solve real-world AI deployment challenges, from-inline security hardening to observability and compliance.
- Drive observability into AI systems—helping customers monitor reliability, guardrails, and behavior in production.
- Work across regulated environments (think strict SLAs, audit requests, and legacy workflows).
- Act as a translator between abstract AI safety gaps and execution-ready deployments.
Success here means turning theoretical guardrails into operational excellence—your decisions directly shape how enterprises safely operationalize AI.
Key Responsibilities
Deployment Expertise & Architecture
- Lead dynamic deployments across Kubernetes stacks, including:
- EKS, AKS, GKE, OpenShift, and on-prem clusters
- Multi-cloud and hybrid architectures
- Work alongside customer engineering teams to align Dynamo AI’s platform with their:
- Security requirements
- Operational constraints
- Compliance obligations
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Scaling & Observability
- Design high-reliability networking, identity (OIDC/SAML), security, and observability architectures.
- Validate deployment dependencies (ingress, databases, authentication).
- Collaborate on automating runbooks and Helm/Terraform configurations to improve repeatability.
Problem-Solving in Complex Systems
- Diagnose and remediate production issues across:
- Service-level breakdowns
- Authentication failures
- TLS/metadata/gateways
- Resource throttling
- Partner with Dynamo AI’s engineering teams to surfacing (and address) customer-driven improvements at scale.
Technical Clarity & Stakeholder Management
- Break down complex tradeoffs into executable deployment roadmaps.
- Upgradement and influence in execution—.stakeholder reviews of release risk, scaling impacts, and handoff criteria.
- Establish best practices that center on security, reliability, and enterprise-grade documentation.
Required Qualifications
- 5+ years professional engineering experience (software, infrastructure, platform, solutions, or customer facing).
- Hands-on production Kubernetes administration (EKS/AKS/GKE/on-prem).
- One major cloud provider (AWS/Azure/GCP).
- Strong debugging skills across:
- Distributed systems
- Containers/networking
- Logs, metrics, tracing
- Experience with deployment automation stack (Helm, Terraform, ArgoCD, Kustomize).
- Familiarity with SRE/DevOps practices:
- Monitoring, alerting, incident response
- Scaling architecture
- Site reliability engineering principles
- Irresistible customer engagement skills:
- Translating technical realities for mixed technical/non-technical stakeholders.
- Staying patient and particularly clear in ambiguous customer environments.
- Self-storage—action execution and accountability under ambiguity.
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Preferred Qualifications
Deep Benefits for Deploying AI Safely
- Managed AI/ML environments, including:
- Inference platforms
- Guardrail evaluation tools
- Agentic systems (LLM/RAG)
- Experience with Dynamo AI’s workflows (although preceding AI expertise is a boon for context).
- Affinity for enterprise-grade deployments in regulated industries:
- Financial services, healthcare, or government/trusted computing environments.
Why You’d Thrive Here
- Not just pretend work— You’ll cut realship into customers’ most challenging AI necessities want tackling from experiment planning to observability.
- Work at enterprise velocity—Each day presents novel architectures, workflows, or compliance wrinkles.
- Impact stems beyond one’s own PIs—Your design suggestions inform how thousands of future customers deploy AI responsibly.
Who We’re Hiring
Do you ... ✔ Enjoy diagnosing unworkable systems and inventing flexible solutions? ✔ Love translating enterprise constraints into practical engineering choices? ✔ Taking satisfaction from driving trustworthy AI operations for real users? ✔ Won’t blink at troubleshooting hybrid,% stuff? ✔ (Bonus happi:** Have the tenacity to read a cloud compliance manual and answer “How do we fix this?”)
Apply to solve AI engineering for enterprise at scale.
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