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# Forward Deployed Engineer

- **Company:** ANSYS, Inc.
- **Location:** East Coast of the United States, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Technology Consulting, Identity and Access Management, OpenID, Runbook, Security Assertion Markup Language (SAML), Software Deployment, Software Engineering, AI Infrastructure, Cloud Platform System, Okta, Large Language Models, Kubernetes Helm Charts, Generative AI, Kubernetes, Information Technology
- **Published:** October 16, 2026
- **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer--b99d1db2-a5d5-48bf-975b-c6d24bbac2d1

## About the Role

working with engineering, security, or compliance teams Excellent troubleshooting and problem-solving skills Fluent English communication skills Availability for twice-weekly evening meetings to align with an international team Important requirements: Previous experience in a startup, technology consulting, or modern cloud infrastructure environment Ability to build deployment automation, Helm charts, scripts, and runbooks Experience leading technical planning, solution architecture, and production readiness reviews Nice to have: Master's degree in Computer Science, Engineering, or a related field Experience with Generative AI, LLM applications, or AI infrastructure Knowledge of AI deployment, evaluation, and observability platforms Experience with identity and access management solutions (OIDC, SAML, Keycloak, Entra ID, Okta) Background in regulated industries such as financial services, healthcare, or government

## Description

Our client is seeking a highly skilled Forward Deployed Engineer to facilitate the successful deployment and operationalization of AI solutions within enterprise production environments. This role serves as a critical bridge between advanced AI technology and real-world application, requiring a unique blend of software engineering, infrastructure expertise, and customer-facing communication. Our client expects the successful candidate to collaborate directly with customer engineering, security, and infrastructure teams to implement scalable, secure, and reliable AI systems. Our client provides an environment where engineers can solve complex infrastructure challenges while working at the forefront of the AI industry. Critical requirements: 3-8 years of experience in software, infrastructure, platform, or solutions engineering Strong production experience with Kubernetes Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) Proven customer-facing experience working with engineering, security, or compliance teams Excellent troubleshooting and problem-solving skills Fluent English communication skills Availability for twice-weekly evening meetings to align with an international team Important requirements: Previous experience in a startup, technology consulting, or modern cloud infrastructure environment Ability to build deployment automation, Helm charts, scripts, and runbooks Experience leading technical planning, solution architecture, and production readiness reviews Nice to have: Master's degree in Computer Science, Engineering, or a related field Experience with Generative AI, LLM applications, or AI infrastructure Knowledge of AI deployment, evaluation, and observability platforms Experience with identity and access management solutions (OIDC, SAML, Keycloak, Entra ID, Okta) Background in regulated industries such as financial services, healthcare, or government