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Forward Deployment Engineer Jobs in Austin, TX (NOW HIRING)

We drive everything forward as fast as possible. * First principles. Challenge every assumption ... Own technical execution of network deployment: the standards, tooling, and hardest problems across ...

Experience in Context and Spec Engineering, systematically structuring data, constraints, and ... Please do not forward resumes to our jobs alias, Google employees, or any other organization ...

Lead technical deployments and onboarding for US customers from kickoff through go-live * Serve as ... forward deployed engineering, solutions engineering, or technical implementation role * Strong ...

Key R͏esponsibilities Deployment & Implementation Support: * Assist in deploying and configuring ... Forward Deployed Engineer > Senior FDE / Solutions Architect > AI Architect / Technical Lead ...

Senior Forward Deployed Engineer

Austin, TX · On-site

$103K - $142K/yr

About the Role We are seeking a Senior Forward Deployed Engineer (FDE) to partner with our largest ... Beyond deployments, you will help shape and build product capabilities that solve critical ...

Senior Forward Deployed Engineer

Austin, TX · On-site

$103K - $142K/yr

About the Role We are seeking a Senior Forward Deployed Engineer (FDE) to partner with our largest ... Beyond deployments, you will help shape and build product capabilities that solve critical ...

Senior Forward Deployed Engineer

Austin, TX · On-site

$103K - $142K/yr

About the Role We are seeking a Senior Forward Deployed Engineer (FDE) to partner with our largest ... Beyond deployments, you will help shape and build product capabilities that solve critical ...

Senior Forward Deployed Engineer

Austin, TX · On-site

$103K - $142K/yr

About the Role We are seeking a Senior Forward Deployed Engineer (FDE) to partner with our largest ... Beyond deployments, you will help shape and build product capabilities that solve critical ...

... focused Senior Forward Deployed Engineer will be the technical bridge between Optimizely ... Participate in the configuration and deployment of Optimizely AI (Opal), interacting with ...

Forward Deployed Engineers (FDEs) work alongside our clients, embedding with their teams to tackle ... Codifying best practices into reusable playbooks, evaluation frameworks, and deployment ...

Forward Deployed Engineers (FDEs) work alongside our clients, embedding with their teams to tackle ... Codifying best practices into reusable playbooks, evaluation frameworks, and deployment ...

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Showing results 1-20

Forward Deployment Engineer information

See Austin, TX salary details

$35.2K

$108.6K

$168.5K

How much do forward deployment engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for forward deployment engineer in Austin, TX is $108,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $137,300.00 per year, depending on experience, location, and employer.

How does a forward deployment engineer typically collaborate with clients and internal teams during a project?

Forward Deployment Engineers often serve as a bridge between clients and internal engineering or product teams. They work closely with clients to understand their unique requirements, configure solutions, and ensure successful deployments, frequently traveling to client sites. Internally, they collaborate with engineers, product managers, and support staff to relay client feedback, troubleshoot issues, and optimize system performance. This role requires excellent communication skills and adaptability, as each project may involve different stakeholders and technical challenges.

What is the difference between Forward Deployment Engineer vs Network Engineer?

AspectForward Deployment EngineerNetwork Engineer
Required CredentialsBachelor's in CS, EE, or related; certifications like CCNA, Cisco, or cloud certificationsBachelor's in CS, EE, or related; certifications like CCNA, CompTIA Network+
Work EnvironmentOn-site deployments, fieldwork, client sites, and data centersOffice-based, network infrastructure setup, maintenance, and troubleshooting
Industry UsageTech, telecom, cloud providers, hardware vendorsIT, telecom, enterprise networks, service providers

While both roles require networking knowledge and certifications like CCNA, Forward Deployment Engineers focus on deploying and supporting hardware and systems directly at client sites, often involving fieldwork. Network Engineers primarily design, implement, and maintain network infrastructure within organizations. The roles overlap in certifications and industry usage but differ in work environment and deployment focus.

What are the key skills and qualifications needed to thrive as a forward deployment engineer?

To thrive as a Forward Deployment Engineer, you need strong analytical and problem-solving skills, a solid foundation in computer science or engineering, and relevant experience or a degree in these fields. Familiarity with programming languages (such as Python or Java), cloud platforms, and deployment/configuration management tools is typically required, along with knowledge of client-facing software solutions. Outstanding communication, adaptability, and teamwork skills help you understand client needs and collaborate effectively across teams. These skills ensure successful implementation and integration of complex software solutions in diverse client environments.

What is a forward deployment engineer?

Forward Deployment Engineers (FDEs) are technical professionals who work directly with clients to implement, customize, and deploy software solutions. They act as a bridge between engineering teams and customers, ensuring that products are successfully integrated into the client's environment and tailored to meet their specific needs. FDEs typically handle a mix of software engineering, problem-solving, and client-facing responsibilities, often traveling to customer sites to provide on-the-ground support. Their role is essential for organizations that offer complex technical products requiring hands-on deployment and adaptation.
What are popular job titles related to Forward Deployment Engineer jobs in Austin, TX? For Forward Deployment Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Forward Deployment Engineer jobs in Austin, TX look for? The top searched job categories for Forward Deployment Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Forward Deployment Engineer jobs? Cities near Austin, TX with the most Forward Deployment Engineer job openings:
Infographic showing various Forward Deployment Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,598 per year, or $52.2 per hour.

Forward Deployment Engineer

Ruri Software Technologies LLC

Austin, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Forward Deployment Engineer
Location :Hybrid at Bloomfield, CT or Austin, TX
Duration :8+months
Job Description:
1. Build and ship AI agents and automation harnesses as a core deliverable - not a side experiment - using tool use/function calling, multi-turn context management, and agentic design patterns (MCP, LangChain-style frameworks)
2. Use Claude, Cursor, and Codex as your primary development environment daily - build with AI, not around it, across every layer you touch
3. Evaluate and correct non-deterministic model output as a first-class engineering discipline - know what the AI wrote, where you overrode or discarded it, and what would have shipped broken if trusted blindly
4. Take a problem from rough idea to deployed, working software with minimal handoffs - writing code, shaping UX, and wiring data pipelines yourself, accelerated by AI tooling throughout
5. Design agent skills and internal AI-assisted workflows that other engineers on the team rely on and build from
6. Move across frontend, backend, data engineering, and infra within the same sprint, using AI tools to compress the time each layer normally takes
7. Design and maintain data pipelines and analytical surfaces on Databricks and AWS that non-engineers can actually use
8. Work directly with product managers and stakeholders - push back on scope, propose better (often AI-driven) solutions, and make pragmatic trade-offs without waiting to be told
9. Own architectural decisions for your product area, including when an agent/LLM-based approach is the right call versus deterministic code
10. Leave the codebase simpler than you found it - know when to abstract, inline, or simplify rather than add
11. Deploy, debug, and operate confidently in AWS without breaking production
12. Deliver outcomes that would take a conventional team 5-10x longer - the agentic/AI-native workflow itself is the reason for that multiplier, not just raw coding speed
Required Skills:
- AI Tooling: Claude, Cursor, Codex; LLM APIs (Anthropic, OpenAI); prompting, tool use, agent patterns, MCP
- Frontend: React, TypeScript
- Backend: Python or Node.js, REST/GraphQL APIs, event-driven service design
- Data Engineering Databricks: (PySpark, Delta Lake, notebooks, workflows)
- Cloud/Infra: AWS (S3, Lambda, Glue, Redshift), Infrastructure-as-Code (plus)
- BI/Visualization: Streamlit, Tableau, Evidence (nice to have)
Years of Experience: 15.00 Years of Experience
Regards
Surya
Surya@rurisoft.com