Mid Level Forward Deployed Engineering Jobs
Mid level forward deployed engineering jobs go to engineers ready to own customer-facing deployments end to end, drive technical decisions with limited oversight, and mentor junior teammates through complex implementations. Openings run across Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with a mix of on-site and hybrid settings, and employers like OpenAI, Jobot, and Deloitte are competing for engineers at this level now.
Find JobsOverview
Showing 5 of 124+ Mid Level Forward Deployed Engineering 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.
See All 124+ Mid Level Forward Deployed Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Forward Deployed Engineering Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software61
- Artificial Intelligence12
- Consulting & Professional Services12
- Banking & Financial Services8
- Staffing & Recruiting6
Mid Level Forward Deployed Engineering Jobs: Frequently Asked Questions
How do I get a mid level forward deployed engineering job?
Lead with evidence of ownership, not just participation. Hiring managers at this level want to see that you drove a deployment or integration from kickoff to customer sign-off, handled ambiguity without constant direction, and communicated technical tradeoffs to non-engineers. Tailor your application to show scope, not just tasks, and be specific about the customer impact you delivered.
Which companies hire mid level forward deployed engineerings?
Companies hiring mid level forward deployed engineerings 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 companies, infrastructure vendors, and fast-scaling SaaS businesses that embed engineers directly with customers to manage complex technical rollouts.
Are there remote mid level forward deployed engineering jobs?
Yes, though the role's customer-facing nature means fully remote positions are less common than in pure software engineering. About 44% of mid level forward deployed engineering openings are remote or hybrid as of August 2026, with hybrid arrangements being the most frequent since periodic on-site work at customer locations is often part of the job scope at this level.
How do I move up to a mid level forward deployed engineering role?
The shift from entry level to mid level comes from accumulating real deployment ownership over time. Early in your career, focus on mastering one or two core technologies, then gradually take on more of the customer-facing work independently. Demonstrating that you can manage a full implementation cycle, troubleshoot under pressure, and earn customer trust without a senior engineer beside you is what signals readiness for mid level scope.
Which industries hire the most mid level forward deployed engineerings?
Mid Level forward deployed engineering roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. These sectors tend to drive hiring at this level because their enterprise customers require hands-on technical integration support, and mid level engineers with proven deployment experience are the right fit for managing that complexity independently.