Forward Deployed Engineer

Recruiting From Scratch•Austin, TX

46d•Remote

About The Position

The company is building a trust and governance platform for AI systems, helping enterprises safely deploy, monitor, and govern large language models, AI agents, and generative AI applications at scale. Already deployed across major global enterprises and financial institutions, the platform enables organizations to implement AI guardrails, runtime controls, evaluation frameworks, and governance systems that ensure AI operates safely and reliably in production environments. Founded by the former General Manager of IBM Watson and backed by leading venture investors, the company has rapidly emerged as a category leader in enterprise AI governance and was recently recognized as a Gartner Cool Vendor for Agentic AI. With strong customer demand across banking, healthcare, retail, telecommunications, and consulting organizations, the company is rapidly expanding its customer-facing engineering team and hiring Forward Deployed Engineers to lead enterprise AI deployments. This is a rare opportunity to work directly with Fortune 500 customers, own deployments from day one, and help shape how enterprises adopt AI responsibly at scale.

Requirements

2–5 years of experience in Forward Deployed Engineering, Solutions Engineering, or Client-Facing Software Engineering
Experience deploying AI/ML solutions into production customer environments
Experience working directly with enterprise customers or external stakeholders
Experience translating business requirements into technical implementations
Experience working in startup or scale-up environments
Strong Python engineering skills
Hands-on experience with AI/ML systems, LLMs, agents, or machine learning workflows
Understanding of model capabilities, limitations, and trade-offs
Experience deploying or supporting AI-powered applications
Familiarity with cloud infrastructure concepts
Familiarity with Kubernetes and containerized environments
Ability to troubleshoot technical issues in customer environments
Strong problem-solving and systems thinking abilities
Exceptional communication and interpersonal skills
Comfortable presenting to technical and non-technical stakeholders
Strong customer-facing presence
Ability to simplify complex technical concepts
High ownership mentality
Comfortable operating in ambiguity
Strong problem-solving mindset
Consultative approach to customer engagement
Startup mentality and bias toward action

Nice To Haves

Experience supporting enterprise software deployments preferred
Experience working with Fortune 500 customers preferred
Experience in financial services, healthcare, consulting, or enterprise software preferred
Understanding of AI evaluation, governance, guardrails, or monitoring concepts preferred
Exposure to AWS, Terraform, Docker, or cloud-native tooling preferred
Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field preferred

Responsibilities

Own enterprise customer engagements from discovery through deployment
Work directly with Fortune 500 clients to understand AI governance challenges and design technical solutions
Deploy and configure AI runtime control systems, guardrails, evaluation frameworks, and governance workflows
Build and customize LLM-powered applications, AI agents, and enterprise AI workflows
Serve as the technical bridge between customers and internal engineering/product teams
Lead proofs-of-concept and production deployments across multiple industries
Translate ambiguous business requirements into scalable technical solutions
Configure and deploy AI governance infrastructure within customer environments
Create technical documentation, implementation plans, and deployment playbooks
Surface customer feedback and product insights to internal teams
Help customers successfully operationalize AI systems in production environments
Become a trusted technical advisor for enterprise AI initiatives