Forward Deployed Engineering Jobs in New Jersey
Forward Deployed Engineering jobs in New Jersey sit at the center of one of the most active technical hiring markets on the East Coast, with strong demand from defense contractors, pharmaceutical companies, and enterprise software firms at every level from entry-level associate to senior principal. The heaviest concentration of openings falls in and around Newark, Princeton, and Parsippany, where established employers like Palantir, Lockheed Martin, and Johnson and Johnson maintain significant New Jersey operations. The most in-demand specialties are customer-facing deployment engineering, systems integration, and technical account support for complex enterprise platforms. Find a role that fits below and apply directly.
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Showing 5 of 13+ Forward Deployed Engineering jobs
ABOUT AVEPOINT
AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces.
ABOUT THE ROLE
Enterprises are adopting AI faster than they can govern it, and they're looking for a partner who can do two things exceptionally well:
Speak credibly about AI trust, governance and security.
Build real AI solutions that solve business problems.
As a Forward Deployed Engineer (AI), you'll be the technical face of AvePoint inside enterprise customers. You'll be equally comfortable:
Whiteboarding AI trust and governance concepts with CISOs and executives.
Translating business challenges into scoped AI delivery projects.
* Building the first working prototype yourself.
You'll embed with customers, own engagements end-to-end, and deliver tangible outcomes. This isn't a traditional pre-sales role or a back-office delivery position. It's a highly autonomous customer-facing engineering role inspired by the engagement models used by leading AI companies—owning problems from discovery workshops through to production.
Advise on AI Trust & Governance
Lead AI governance and discovery workshops.
Help customers understand and govern their AI landscape (agents, copilots, models and shadow AI).
Explain AI governance, security posture and resilience to both technical and executive audiences.
Help establish:
+ AI inventories
+ Approval workflows
+ Risk classifications
+ Audit evidence
+ Practical AI operating models.
Scope & Shape AI Projects
Work directly with business stakeholders to understand the real business problem behind AI initiatives. You'll:
Identify high-value AI use cases.
Define success criteria.
Translate ambiguous requirements into deliverable technical scopes.
Produce:
+ Architecture outlines
+ Data & integration requirements
+ Delivery phases
+ Effort estimates
+ Risk assessments
* Write Statements of Work (SoWs) customers can sign and engineering teams can deliver.
Build & Deliver
Develop both prototypes and production-ready AI solutions including:
AI agents
RAG pipelines
LLM integrations:
+ Azure OpenAI
+ AWS Bedrock
+ Google Vertex AI
+ Anthropic
MCP-based tool integrations
* Governance and security controls
You'll also build custom tooling for regulated, cloud-restricted or air-gapped environments where SaaS solutions aren't suitable.
Own Customer Delivery
Remain the trusted technical advisor throughout the engagement by:
Running enablement sessions.
Supporting customer adoption.
Troubleshooting production issues.
Identifying opportunities to expand engagements where genuine customer value exists.
WHAT WE'RE LOOKING FOR
MUST-HAVES
5+ years in Software Engineering, Solutions Architecture or Technical Consulting.
2+ years building modern AI/LLM solutions in production (not just experimentation).
Hands-on experience with:
+ Azure OpenAI
+ AWS Bedrock
+ Google Vertex AI
+ LangChain
+ Semantic Kernel
Experience building:
+ RAG solutions
+ Agentic workflows
+ Tool/function calling
Strong programming skills in:
+ Python
+ C#
+ TypeScript
Experience with Azure, AWS or GCP, including identity, networking and data services.
Proven ability to scope technical projects from ambiguous business requirements.
Excellent communication skills—from board-level conversations through to deep technical discussions.
Comfortable working autonomously in fast-moving client environments.
Willingness to travel (~40%).
STRONG PLUSES
AI Security:
+ Prompt injection
+ Data leakage
+ Agent permissions
+ AI-SPM / DSPM
Experience with:
+ Model Context Protocol (MCP)
+ Agent runtimes
+ Pinecone
+ Milvus
+ Weaviate
+ Chroma
Enterprise data governance, backup, resilience or Microsoft 365 ecosystems.
Experience delivering into regulated industries:
+ Public Sector
+ Defence
+ Financial Services
+ Healthcare
Experience in air-gapped or sovereign cloud environments.
Previous Forward Deployed Engineering, embedded consulting or customer-facing engineering experience.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
ABOUT AVEPOINT
AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces.
ABOUT THE ROLE
Enterprises are adopting AI faster than they can govern it, and they're looking for a partner who can do two things exceptionally well:
Speak credibly about AI trust, governance and security.
Build real AI solutions that solve business problems.
As a Forward Deployed Engineer (AI), you'll be the technical face of AvePoint inside enterprise customers. You'll be equally comfortable:
Whiteboarding AI trust and governance concepts with CISOs and executives.
Translating business challenges into scoped AI delivery projects.
* Building the first working prototype yourself.
You'll embed with customers, own engagements end-to-end, and deliver tangible outcomes. This isn't a traditional pre-sales role or a back-office delivery position. It's a highly autonomous customer-facing engineering role inspired by the engagement models used by leading AI companies—owning problems from discovery workshops through to production.
Advise on AI Trust & Governance
Lead AI governance and discovery workshops.
Help customers understand and govern their AI landscape (agents, copilots, models and shadow AI).
Explain AI governance, security posture and resilience to both technical and executive audiences.
Help establish:
+ AI inventories
+ Approval workflows
+ Risk classifications
+ Audit evidence
+ Practical AI operating models.
Scope & Shape AI Projects
Work directly with business stakeholders to understand the real business problem behind AI initiatives. You'll:
Identify high-value AI use cases.
Define success criteria.
Translate ambiguous requirements into deliverable technical scopes.
Produce:
+ Architecture outlines
+ Data & integration requirements
+ Delivery phases
+ Effort estimates
+ Risk assessments
* Write Statements of Work (SoWs) customers can sign and engineering teams can deliver.
Build & Deliver
Develop both prototypes and production-ready AI solutions including:
AI agents
RAG pipelines
LLM integrations:
+ Azure OpenAI
+ AWS Bedrock
+ Google Vertex AI
+ Anthropic
MCP-based tool integrations
* Governance and security controls
You'll also build custom tooling for regulated, cloud-restricted or air-gapped environments where SaaS solutions aren't suitable.
Own Customer Delivery
Remain the trusted technical advisor throughout the engagement by:
Running enablement sessions.
Supporting customer adoption.
Troubleshooting production issues.
Identifying opportunities to expand engagements where genuine customer value exists.
WHAT WE'RE LOOKING FOR
MUST-HAVES
5+ years in Software Engineering, Solutions Architecture or Technical Consulting.
2+ years building modern AI/LLM solutions in production (not just experimentation).
Hands-on experience with:
+ Azure OpenAI
+ AWS Bedrock
+ Google Vertex AI
+ LangChain
+ Semantic Kernel
Experience building:
+ RAG solutions
+ Agentic workflows
+ Tool/function calling
Strong programming skills in:
+ Python
+ C#
+ TypeScript
Experience with Azure, AWS or GCP, including identity, networking and data services.
Proven ability to scope technical projects from ambiguous business requirements.
Excellent communication skills—from board-level conversations through to deep technical discussions.
Comfortable working autonomously in fast-moving client environments.
Willingness to travel (~40%).
STRONG PLUSES
AI Security:
+ Prompt injection
+ Data leakage
+ Agent permissions
+ AI-SPM / DSPM
Experience with:
+ Model Context Protocol (MCP)
+ Agent runtimes
+ Pinecone
+ Milvus
+ Weaviate
+ Chroma
Enterprise data governance, backup, resilience or Microsoft 365 ecosystems.
Experience delivering into regulated industries:
+ Public Sector
+ Defence
+ Financial Services
+ Healthcare
Experience in air-gapped or sovereign cloud environments.
Previous Forward Deployed Engineering, embedded consulting or customer-facing engineering experience.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
See All 13 Forward Deployed Engineering Jobs in New Jersey
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Find JobsForward Deployed Engineering Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Forward Deployed Engineering Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Telecommunications
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in forward deployed engineering jobs across New Jersey.
- Bachelor's degree in computer science, software engineering, or a related technical field
- Hands-on experience deploying and configuring enterprise software in production environments
- Ability to write and debug code in Python, Java, or another scripting or compiled language
- Strong client-facing communication skills for translating technical detail to business stakeholders
- Experience with cloud infrastructure platforms such as AWS, Azure, or Google Cloud
- Familiarity with data pipelines, APIs, or systems integration in large enterprise environments
Forward Deployed Engineering Jobs in New Jersey: Frequently Asked Questions
How do you become a forward deployed engineering in New Jersey?
Most forward deployed engineering roles in New Jersey require a bachelor's degree in computer science, software engineering, or a closely related field, and there is no state-issued license for the role itself. New Jersey employers typically look for candidates who have completed technical internships, contributed to open-source projects, or built a portfolio demonstrating deployment and integration work. Graduates from programs at Rutgers, NJIT, or Stevens Institute of Technology are well positioned for entry into this career track.
Which companies hire forward deployed engineerings in New Jersey?
Employers hiring forward deployed engineerings in New Jersey right now include Selective Insurance, EY, and SAS, based on current listings on Migrate Mate as of August 2026. New Jersey's concentration of defense, life sciences, and enterprise software firms means demand is spread across multiple industries rather than concentrated in a single sector.
Which New Jersey cities have the most forward deployed engineering jobs?
Jersey City, Short Hills, and Florham Park have the most forward deployed engineering openings in New Jersey. Newark drives volume as the state's primary corporate and logistics hub, while Princeton attracts openings tied to pharmaceutical and research-oriented technology firms, and Parsippany supports enterprise software and consulting employers with large regional offices in that corridor.
Are there remote forward deployed engineering jobs in New Jersey?
Yes, and more than most technical fields, though the role often requires periodic on-site presence at client locations. About 29% of forward deployed engineering openings tied to New Jersey are remote or hybrid as of August 2026, reflecting how much of the work involves configuration, documentation, and customer calls that travel well over video. The most fully remote positions tend to be in post-deployment support and platform onboarding rather than initial implementation.
How can I get hired as a forward deployed engineering in New Jersey with little or no experience?
The most realistic entry path is a rotational technical program or associate deployment engineer role at a large New Jersey employer, where new graduates move through onboarding, configuration, and customer support before taking on independent deployments. Firms like Palantir and major defense contractors with New Jersey offices run structured new-grad cohorts. Candidates coming from technical support, solutions architecture, or junior software development roles often make a strong lateral move, especially when paired with a cloud certification or a documented integration project.
Where can I find and apply to forward deployed engineering jobs in New Jersey?
You can find and apply to forward deployed engineering jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that match your background and location, and apply directly to the employers posting them.
See All 13 Forward Deployed Engineering Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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