Mid Level Forward Deployed Software Engineer Jobs
Mid level forward deployed software engineer jobs go to engineers ready to own complex deployments end to end, make architectural decisions with limited oversight, and mentor junior teammates through real customer environments. Most openings are on-site or hybrid, concentrated in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with employers like OpenAI, Jobot, and Deloitte hiring at this level now.
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Showing 5 of 124+ Mid Level Forward Deployed Software Engineer jobs
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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Find JobsMid Level Forward Deployed Software Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software61
- Artificial Intelligence12
- Consulting & Professional Services12
- Banking & Financial Services8
- Staffing & Recruiting6
Mid Level Forward Deployed Software Engineer Jobs: Frequently Asked Questions
How do I get a mid level forward deployed software engineer job?
Position yourself around ownership and direct customer impact. Highlight projects where you drove a deployment or integration from design through delivery with minimal hand-holding, and call out any work you did directly at a customer site or in a client-facing technical capacity. Employers at this level want evidence of independent judgment, so lead with outcomes and the scope of decisions you made, not just the technologies you used.
Which companies hire mid level forward deployed software engineers?
Companies hiring mid level forward deployed software 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 enterprise software vendors, defense and government contractors, and growth-stage technology companies that embed engineers directly with customers to handle complex implementations.
Are there remote mid level forward deployed software engineer jobs?
Yes, though fully remote roles are less common at this level given the on-site customer component that defines the discipline. About 44% of mid level forward deployed software engineer openings are remote or hybrid as of August 2026, and many of those still involve periodic travel to client locations, so read each posting carefully for the actual site expectations before applying.
How do I move up to a mid level forward deployed software engineer role?
The move from entry level to mid level in this specialty comes from accumulating real ownership over time. Focus on taking full responsibility for at least one deployment or integration cycle, build depth in a stack that customers actually run in production, and seek out opportunities to interact directly with client engineers or stakeholders. Demonstrable impact, such as reduced downtime or a faster onboarding process, signals readiness for mid level expectations.
Which industries hire the most mid level forward deployed software engineers?
Mid Level forward deployed software engineer roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. Those sectors drive hiring at this level because their customers run mission-critical or highly customized deployments that require engineers who can work hands-on at the client site and solve problems that standard support channels cannot.