2,064,508open jobs
125,111companies
240,031added this week
Browse all
Salary
$130k – $185k per year
Location
In office (London)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Jun 5, 2026. Dynamo AI scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Dynamo AI is an enterprise software company that provides tools to test, secure and govern generative AI systems. Its products evaluate large language models for performance, privacy leakage and hallucination, apply guardrails to model inputs and outputs, and support compliance with AI regulations, with offerings such as AgentWarden for AI agents. It sells to banks, insurers and public sector organisations. The company is headquartered in San Francisco, California, United States.

About Dynamo AI

At Dynamo AI, we help enterprises deploy AI systems that are reliable, secure, observable, and production-ready.

As organizations accelerate adoption of Generative AI, they face growing challenges around reliability, governance, latency, safety, compliance, and operational control. Dynamo AI provides the infrastructure, evaluation frameworks, and real-time guardrails that allow enterprises to confidently operationalize AI at scale.

We work with enterprises and regulated industries to bridge the gap between AI experimentation and production deployment - enabling organizations to deploy AI systems safely, efficiently, and responsibly.

TheForward Deployment Strategist (FDS) is a high-impact, technical-commercial hybrid responsible for the successful operationalization of Dynamo within our most strategic accounts. You will act as the bridge between Dynamo’s engineering capabilities and our customers’ business imperatives. You are ensuring that Dynamo is not just "installed," but deeply integrated into the customer’s value chain.

About the Role

We are looking for Forward Deployed Strategists to help enterprise customers successfully deploy and operationalize AI systems in real-world environments.

This role sits at the intersection of customer strategy, technical deployment, and commercial execution. You will work directly with enterprise customers to identify high-impact AI opportunities, shape deployment strategies, and drive successful implementation of Dynamo AI’s platform across customer environments.

Forward Deployed Strategists act as the connective layer between customers, sales, product, and engineering teams. You will help organizations move from experimentation toward durable production adoption - ensuring deployments deliver measurable business outcomes while meeting enterprise requirements around governance, reliability, security, and performance.

This is a highly cross-functional role for individuals who enjoy solving ambiguous operational problems, working closely with customers, and translating complex AI capabilities into practical enterprise value.

In This Role You’ll

Partner Closely with Customers

  • Build trusted relationships with enterprise stakeholders across business, engineering, operations, risk, compliance, and security teams
  • Understand customer workflows, operational pain points, and AI deployment priorities
  • Identify and shape high-impact AI use cases aligned to measurable business outcomes
  • Partner with customers to redesign business and operational processes around AI adoption, helping organizations streamline governance, evaluation, and approval workflows to accelerate the path from experimentation to production deployment

Drive Strategic AI Deployments

  • Work closely with product and engineering teams to operationalize Dynamo’s products within enterprise environments
  • Translate customer requirements into deployment strategies and implementation plans
  • Help customers design scalable workflows around AI governance, evaluation, observability, and real-time guardrails
  • Navigate ambiguity and unblock cross-functional execution across internal and customer teams
  • Balance speed, technical feasibility, governance, and business impact during deployments

Bridge Business and Technical Teams

  • Develop a strong understanding of enterprise AI systems, LLM deployment patterns, evaluation methodologies, and guardrail architectures
  • Communicate technical concepts clearly to both executive and technical audiences
  • Surface customer insights and deployment learnings back into product, engineering, and go-to-market teams
  • Help shape scalable deployment playbooks and best practices across customer engagements

Support Commercial and GTM Efforts

  • Partner with sales teams during strategic customer engagements, workshops, and pre-sales discussions
  • Help customers understand the operational and organizational requirements for successful AI adoption
  • Support enterprise expansion opportunities by identifying additional deployment pathways and use cases
  • Drive measurable customer outcomes that contribute to long-term account growth and adoption

You Might Thrive In This Role If You

  • Enjoy operating at the intersection of strategy, technology, and execution
  • Are highly customer-oriented and comfortable working directly with senior enterprise stakeholders
  • Can build credibility with both executives and engineers
  • Thrive in fast-moving, ambiguous environments with high ownership
  • Are excited about translating frontier AI capabilities into real-world operational impact
  • Prefer solving messy operational problems over narrowly scoped responsibilities

Preferred Qualifications

  • 2+ years of experience in strategy consulting, enterprise technology, solutions engineering, technical account management, product strategy, customer success, or related customer-facing roles
  • Strong understanding of enterprise AI systems, APIs, cloud technologies, or deployment architectures
  • Ability to engage credibly in both commercial and technical discussions
  • Experience managing complex enterprise stakeholders and cross-functional initiatives
  • Excellent communication, problem-solving, and executive presentation skills
  • Demonstrated ability to drive initiatives from ambiguity to execution

Nice To Have

  • Experience with Generative AI, LLM deployments, AI governance, AI evaluation, or guardrail systems
  • Familiarity with enterprise AI observability, monitoring, or security workflows
  • Experience working with regulated industries such as financial services, healthcare, or government
  • Background in management consulting, enterprise SaaS, or technical implementation environments

Base Salary Range: 130,000-185,000 USD base

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,064,508 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Solutions
Similar stack
Same company
London
In office · Full-Time · 3+ years exp · London
AI/ML
Cursor
Claude Code
Prompt Engineering
Multimodal AI
AI Agents
Kling
Runway
Agentic Workflows
Apply
Equity · In office · Full-Time · 4+ years exp · Bachelor's Degree · United Kingdom · United States · Croatia
DevOps
Git
Management
Confluence
QA
Postman
Apply
$94k – $121k per year · Hybrid · Full-Time · 2+ years exp · PhD · London
AI/ML
Cursor
Claude Code
Model Context Protocol
OpenAI Codex
Apply
$54k – $87k per year · Hybrid · 3+ years exp · London
Databases
Supabase
AI/ML
Google AI Studio
DevOps
GitHub
Management
n8n
Apply
In office · Full-Time · London
Apply
≈ $21k – $43k per year (Estimated) · In office · 6+ years exp · Noida
Python
Databases
Milvus
Pinecone
FAISS
ElasticSearch
AI/ML
LangGraph
LangChain
Embeddings
Function Calling
AI Agents
LLM
RAG
Reranking
Hybrid Search
Feature Store
Structured Outputs
LLM Guardrails
Agentic Workflows
DevOps
GCP
OpenTelemetry
Prometheus
Kubernetes
Grafana
Apply
LLM Engineer 8 days ago
≈ $11k – $29k per year (Estimated) · In office · 2+ years exp · Bengaluru
Python
AI/ML
LangChain
Model Context Protocol
Haystack
Pydantic AI
LLM
RAG
OpenAI
Anthropic
LLM Guardrails
DevOps
GCP
AWS
Docker
Kubernetes
Management
Agile
Apply
In office · Delhi
Python
Java
SQL
AI/ML
LangChain
AI Agents
LLM
RAG
Hallucination
OpenAI
LLM Guardrails
Mobile
Twilio
DevOps
Rest API
GCP
WebRTC
WebSockets
Apply
Solutions Architect 8 days ago
≈ $137k – $258k per year (Estimated) · Remote (United States) · Full-Time · 12+ years exp · Master's Degree · Tampa
AI/ML
Model Context Protocol
Function Calling
AI Agents
RAG
LLM Guardrails
DevOps
CI/CD
AWS
MedTech
HL7
FHIR
Apply
≈ $59k – $148k per year (Estimated) · In office · 10+ years exp · Bachelor's Degree · Singapore
Python
Java
Databases
Apache Kafka
AI/ML
LLM
LLM Guardrails
DevOps
Terraform
Ansible
GitHub Actions
Istio
CI/CD
Git
AWS
Kubernetes
Service Mesh
Amazon EKS
GitHub
IAM
API Gateway
Cybersecurity
CyberArk
HashiCorp Vault
Zero Trust
Least Privilege
Microsoft Entra ID
PKI
Cryptography
Vault
Apply
≈ $124k – $249k per year (Estimated) · In office · TS/SCI · Full-Time · Washington
AI/ML
AI Agents
LLM
LLM Guardrails
Agentic Workflows
Cybersecurity
FedRAMP
Defense
CMMC
Apply
≈ $124k – $249k per year (Estimated) · In office · TS/SCI · Full-Time · 5+ years exp · Washington
Python
Java
TypeScript
AI/ML
AI Agents
LLM Guardrails
Agentic Workflows
DevOps
Terraform
CI/CD
Docker
Kubernetes
Platform Engineering
Cybersecurity
FedRAMP
Defense
CMMC
Apply
≈ $33k – $70k per year (Estimated) · In office · Full-Time · 2+ years exp · Singapore
AI/ML
LLM Guardrails
Apply
≈ $135k – $269k per year (Estimated) · In office · Full-Time · 5+ years exp · New York
AI/ML
LLM Guardrails
Apply
Senior DevOps Engineer 2 months ago
≈ $19k – $45k per year (Estimated) · In office · Full-Time · 5+ years exp · Bengaluru
Python
Databases
PostgreSQL
Redis
Apache Kafka
Amazon Aurora
AI/ML
LLM
LLM Guardrails
DevOps
Terraform
Helm
GitHub Actions
OpenTelemetry
Prometheus
CI/CD
GitOps
ArgoCD
Jenkins
AWS
Kubernetes
Grafana
Platform Engineering
Thanos
External Secrets
Amazon EKS
Amazon EC2
Amazon S3
IAM
Cybersecurity
HashiCorp Vault
ISO 27001
SOC 2
Apply
In office · Full-Time · London
Cybersecurity
ISO 27001
GDPR
SIEM
Apply
In office · Full-Time · Bachelor's Degree · London
Databases
Oracle
OpenSearch
Amazon Redshift
Teradata
AI/ML
Hadoop
DevOps
AWS
Amazon Kinesis
Analytics
ETL/ELT
Apply
$99k – $124k per year · Equity · Hybrid · Full-Time · London
SQL
Analytics
A/B Testing
Marketing
Google Ads
Apply
≈ $79k – $154k per year (Estimated) · Hybrid · Full-Time · 8+ years exp · Bachelor's Degree · London
DevOps
Incident Management
Management
ServiceNow
Apply
$22k per year · In office · Internship · London
Apply
See all jobs
This is one of many
2,064,508 more open roles from verified company boards, updated every day.