Forward Deployed Engineer

Reposted 4 Hours Ago
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Menlo Park, CA
In-Office
Expert/Leader
Artificial Intelligence
The Role
The Forward Deployed Engineer will drive technical sales processes, support pre-sales and post-sales activities, and partner with account executives to sell AI-related solutions to enterprises.
Summary Generated by Built In

About the Role: 

 We are looking for a highly motivated Forward Deployed Engineer with a strong background in AI infrastructure to join our dynamic team. In this role, you will play a critical part in driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to our clients. 

Key Responsibilities: 

  • Leverage 10+ years of experience as a Sales Engineer to drive technical sales processes and customer success. 
  • Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. 
  • Partner with Account Executives to enable account-based marketing and selling (ABM/ABS) strategies. 
  • Operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment. 
  • Support pre-sales activities including product demonstrations, proof-of-concepts, RFP responses, and technical deep dives. 
  • Assist with post-sales enablement to ensure successful deployment and customer satisfaction. 
  • Provide deep technical knowledge of cloud-native technologies, tools, and architecture best practices. 
  • Demonstrate a strong understanding of AI and data pipelines, enabling clients to build scalable, intelligent solutions. 

Qualifications: 

  • Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure. 
  • Strong communication and presentation skills with the ability to influence both technical and business stakeholders. 
  • Deep knowledge of cloud platforms (AWS, GCP, Azure), cloud-native ecosystems (Kubernetes, containers, CI/CD, etc.), and cloud-native AI tools and infrastructure—such as Amazon SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, MLflow, and data pipeline orchestration tools like Apache Airflow and Argo Workflows. 
  • Familiarity with machine learning workflows, MLOps tools, and data engineering best practices. 
  • A proactive mindset and a customer-first attitude. 

Top Skills

Ai Infrastructure
Amazon Sagemaker
Apache Airflow
Argo Workflows
AWS
Azure
Azure Machine Learning
Ci/Cd
Containers
GCP
Google Vertex Ai
Kubeflow
Kubernetes
Mlflow
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The Company
HQ: Washington, DC
30 Employees
Year Founded: 2021

What We Do

We help companies realize the full value of AI by empowering their teams to instantly make any application AI-intelligent.


We value and believe in equitable access to AI where all people can adopt AI and have access to AI technology and insights regardless of their ethnicity, socio-economic status, educational or career level, work role, age, physical ability, or any other quality. The goal of our AI Squared technology is to level this playing field by providing AI integration technologies that would increase AI adoption and enable access to AI for anyone.

This is our story. Dr. Benjamin Harvey was the Chief of Operations Data Science at NSA where he experienced challenges first-hand associated with the inability to adopt AI, provide equitable access to AI, and unlock the value of AI for intelligence analysts and the military warfighter. His inspiration came from his two brothers who were Army officers recently deployed to the Middle East (Kuwait, Iraq and Qatar) and SW Asia (Afghanistan and Pakistan) who both relied on intelligence to achieve mission. He began a journey and developed a solution to solve these inequities that simplifies and accelerates AI integration into applications ultimately protecting lives of Americans and military warfighters in similar situations as his brothers.

Our vision is to build the world’s most powerful model integration framework and AI integration software which enables any application to become AI-powered. For the first time ever data scientists can describe their models using our model integration framework and our AI integration software will overlay intelligence from inference results directly into a pre-existing web application. We provide application developers with a software (e.g. SDK) and analysts with a no/low-code solution to customize the user experience

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