Mid Level Forward Deployed Engineer Jobs
Mid level forward deployed engineer jobs go to engineers ready to own customer deployments end to end, drive technical decisions with limited oversight, and guide junior teammates through complex implementations. Openings run across Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with companies like OpenAI, Jobot, and Deloitte competing for engineers at this level now.
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Role: Forward Deployed Engineer
Location: Wilmington, DE
Mode of Hire: Full time
Job Summary:
We are seeking a skilled Forward Deployed Engineer (FDE 2) with a strong background in AI-powered applications and cloud-native development. The ideal candidate will have hands-on experience with Azure AI services and a proven track record in implementing advanced AI architectures. This role requires a blend of technical expertise and the ability to work collaboratively with cross-functional teams to deliver innovative solutions.
Responsibilities:
- Design and develop AI-powered applications utilizing Azure AI services, Azure OpenAI, and related frameworks.
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic retrieval techniques.
- Develop orchestration workflows that integrate AI agents with human-in-the-loop review processes.
- Build cloud-native applications using Python and API-based architectures.
- Deploy AI solutions on Azure, leveraging managed services and secure cloud patterns.
- Collaborate with teams to ensure the successful integration of AI technologies into existing systems.
Skills Required:
- Proven experience with Azure AI services and deployment of AI solutions on Azure.
- Hands-on implementation of RAG architectures using vector databases (e.g., Chroma, Pinecone).
- Experience in developing orchestration workflows involving AI agents.
- Strong programming skills in Python and experience with API-based architectures.
- Familiarity with containerization and Kubernetes.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5-7 years of relevant experience in AI application development and cloud technologies.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Preferred Skills:
- Experience with agentic AI platform implementations.
- Knowledge of AI Foundry, LangChain, LangGraph, or similar frameworks.
- Understanding of semantic retrieval techniques.
Role: Forward Deployed Engineer
Location: Wilmington, DE
Mode of Hire: Full time
Job Summary:
We are seeking a skilled Forward Deployed Engineer (FDE 2) with a strong background in AI-powered applications and cloud-native development. The ideal candidate will have hands-on experience with Azure AI services and a proven track record in implementing advanced AI architectures. This role requires a blend of technical expertise and the ability to work collaboratively with cross-functional teams to deliver innovative solutions.
Responsibilities:
- Design and develop AI-powered applications utilizing Azure AI services, Azure OpenAI, and related frameworks.
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic retrieval techniques.
- Develop orchestration workflows that integrate AI agents with human-in-the-loop review processes.
- Build cloud-native applications using Python and API-based architectures.
- Deploy AI solutions on Azure, leveraging managed services and secure cloud patterns.
- Collaborate with teams to ensure the successful integration of AI technologies into existing systems.
Skills Required:
- Proven experience with Azure AI services and deployment of AI solutions on Azure.
- Hands-on implementation of RAG architectures using vector databases (e.g., Chroma, Pinecone).
- Experience in developing orchestration workflows involving AI agents.
- Strong programming skills in Python and experience with API-based architectures.
- Familiarity with containerization and Kubernetes.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5-7 years of relevant experience in AI application development and cloud technologies.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Preferred Skills:
- Experience with agentic AI platform implementations.
- Knowledge of AI Foundry, LangChain, LangGraph, or similar frameworks.
- Understanding of semantic retrieval techniques.
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Who's Hiring
Top Industries Hiring
- Technology & Software61
- Artificial Intelligence12
- Consulting & Professional Services12
- Banking & Financial Services8
- Staffing & Recruiting6
Mid Level Forward Deployed Engineer Jobs: Frequently Asked Questions
How do I get a mid level forward deployed engineer job?
Lead with ownership. Hiring managers at this level want to see that you have independently managed deployments, debugged production issues on customer sites, and influenced technical direction without constant guidance. Tailor your resume to show specific outcomes you drove, customers you retained, and cross-functional problems you solved. Applications that demonstrate initiative and depth of customer engagement consistently stand out.
Which companies hire mid level forward deployed engineers?
Companies hiring mid level forward deployed engineers right now include OpenAI, Jobot, and Deloitte, based on current listings on Migrate Mate as of August 2026. Hiring at this level tends to come from growth-stage software companies and established enterprise technology firms that need engineers who can operate independently at customer sites and close the gap between product and implementation.
Are there remote mid level forward deployed engineer jobs?
Yes, though the role is heavily field-oriented by nature. About 44% of mid level forward deployed engineer openings are remote or hybrid as of August 2026, which typically means customer-facing travel is still expected even when a home base is allowed. Fully remote positions are less common than in other engineering disciplines, so flexibility requirements vary by employer and customer portfolio.
How do I move up to a mid level forward deployed engineer role?
The path from entry level into mid level is built on demonstrated ownership over time. Focus on taking on increasingly complex customer engagements, volunteering to lead deployment projects, and documenting measurable impact like reduced time to value or improved customer adoption. Engineers who develop strong technical depth alongside consultative communication skills, and who show they can operate without close supervision, typically make the transition within a few years of consistent performance.
Which industries hire the most mid level forward deployed engineers?
Mid Level forward deployed engineer roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they deploy complex software into enterprise environments where a technically skilled engineer embedded with the customer is essential to successful adoption and long-term retention.