Mid Level Senior Forward Deployed Engineer Jobs
Mid level senior forward deployed engineer jobs go to engineers ready to own complex deployments end to end, guide junior teammates, and drive technical decisions with limited oversight from senior staff. Hiring runs across Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with 43% of openings remote or hybrid, and employers like OpenAI, Jobot, and Deloitte competing for engineers at this level now.
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Showing 4 of 125+ Mid Level Senior Forward Deployed 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 Senior Forward Deployed Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software62
- Consulting & Professional Services13
- Artificial Intelligence12
- Banking & Financial Services8
- Staffing & Recruiting6
Mid Level Senior Forward Deployed Engineer Jobs: Frequently Asked Questions
How do I get a mid level senior forward deployed engineer job?
Position your experience around ownership, not task completion. Highlight deployments you led independently, customer problems you diagnosed and resolved without escalation, and any cross-functional work you drove with product or engineering teams. Applications that show a pattern of increasing responsibility, concrete outcomes, and comfort operating in ambiguous customer environments stand out over those that only list tools and technologies.
Which companies hire mid level senior forward deployed engineers?
Companies hiring mid level senior 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 concentrate in growth-stage software companies and large enterprises rolling out complex technical products that require hands-on implementation support.
Are there remote mid level senior forward deployed engineer jobs?
Yes, though the role is inherently customer-facing, which limits fully remote options more than most engineering roles. About 43% of mid level senior forward deployed engineer openings are remote or hybrid as of August 2026, with many hybrid roles requiring periodic on-site visits at customer locations rather than a fixed office commute.
How do I move up to a mid level senior forward deployed engineer role?
The path from entry level to mid level in this role is built on progressively owning more of the customer engagement, not just executing assigned tasks. Focus on deepening your technical stack, taking full accountability for deployment outcomes, documenting what you learn for the team, and demonstrating that you can manage customer relationships and technical complexity at the same time without constant guidance.
Which industries hire the most mid level senior forward deployed engineers?
Mid Level senior forward deployed engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring because they build technically complex products that require dedicated engineers embedded with customers to ensure successful implementation and ongoing adoption.