Senior Level Forward Deployed Engineer Jobs
Senior level forward deployed engineer jobs put seasoned engineers in charge of complex customer deployments, technical strategy, and the cross-functional teams that deliver outcomes at the customer site. Roles are 24% remote or hybrid, concentrated in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with Databricks, Snorkel AI, and Provectus hiring at this level now.
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Showing 5 of 96+ Senior Level Forward Deployed Engineer jobs
Job Title: Forward Deployed Engineer
Location: Phoenix, AZ (Hybrid)
Duration: Long Term
Required Skills: Java Full Stack with Angular experience, AI
Job description:
Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.
- Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
- Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).
- Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).
- Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns.
- Spring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations.
- Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades).
- Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies).
- REST APIs & Integration (REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting).
- Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning).
- Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling).
- Understands the AIDLC stages and where AI accelerates the SDLC.
- LLM application basics: prompting, RAG concept, tool/function calling.
- Effective day-to-day use of GitHub Copilot; writes simple eval cases.
- Solid LLM application patterns — RAG, tool/function calling, MCP basics.
- Spec-driven development; prompt and context-engineering fundamentals.
- Designs RAG and agentic solutions; advanced context engineering.
- MCP integrations across enterprise tools; defines eval strategy.
- Drives measurable developer-productivity outcomes from AI tooling.
Job Title: Forward Deployed Engineer
Location: Phoenix, AZ (Hybrid)
Duration: Long Term
Required Skills: Java Full Stack with Angular experience, AI
Job description:
Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.
- Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
- Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).
- Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).
- Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns.
- Spring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations.
- Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades).
- Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies).
- REST APIs & Integration (REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting).
- Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning).
- Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling).
- Understands the AIDLC stages and where AI accelerates the SDLC.
- LLM application basics: prompting, RAG concept, tool/function calling.
- Effective day-to-day use of GitHub Copilot; writes simple eval cases.
- Solid LLM application patterns — RAG, tool/function calling, MCP basics.
- Spec-driven development; prompt and context-engineering fundamentals.
- Designs RAG and agentic solutions; advanced context engineering.
- MCP integrations across enterprise tools; defines eval strategy.
- Drives measurable developer-productivity outcomes from AI tooling.
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Find JobsSenior Level Forward Deployed Engineer Job Market
Who's Hiring
- Databricks28
- Snorkel AI6
- Provectus4
- Adobe3
- OpenAI3
Top Industries Hiring
- Technology & Software76
- Consulting & Professional Services5
- Electronics & Hardware4
- Artificial Intelligence4
- Telecommunications3
Senior Level Forward Deployed Engineer Jobs: Frequently Asked Questions
How do I get a senior level forward deployed engineer job?
Employers hiring at this level look for engineers who have owned full deployment lifecycles end to end, not just contributed to them. Candidates who stand out can point to measurable customer outcomes they drove, technical decisions they made under ambiguity, and junior engineers they have coached. Strong cross-functional communication and the ability to translate complex technical work into business value are non-negotiable at the senior level.
Which companies hire senior level forward deployed engineers?
Companies hiring senior level forward deployed engineers right now include Databricks, Snorkel AI, and Provectus, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from enterprise software, defense technology, and infrastructure-focused firms that run large, long-term customer engagements requiring experienced technical leadership on site.
Are there remote senior level forward deployed engineer jobs?
Yes, though many roles at this level involve meaningful on-site time given the customer-facing nature of the work. About 24% of senior level forward deployed engineer openings are remote or hybrid as of September 2026, meaning fully remote positions exist but hybrid arrangements with periodic customer travel are more common for engineers operating at this scope.
What makes a forward deployed engineer role senior level?
Senior level forward deployed engineer roles are defined by ownership, not just execution. Engineers at this level set the technical direction for deployments, make architectural decisions that shape how a customer integrates a product, and take accountability for outcomes rather than individual tasks. They also mentor mid-level engineers on the engagement, act as the primary technical authority with customer stakeholders, and handle escalations that require both depth and judgment.
Which industries hire the most senior level forward deployed engineers?
Senior Level forward deployed engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because their enterprise customers require experienced engineers who can own complex, high-stakes implementations and serve as trusted technical partners over multi-year engagements.