> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Senior Forward Deployed AI Engineer Canonical URL: https://nextmove.md/fde/jobs/5681002f691861d0 webAI posts a senior FDE role to build what the customer runs in Austin, TX and 1 more with no pay posted. Scope, deploy, and maintain production AI solutions with customers. Read from the employer’s posting on November 8, 2026. - [webAI](https://nextmove.md/fde/companies/webai) Posted Apr 15, 2026 by webAI · open on Ashby as of Nov 8, 2026 Pay not posted Austin, TX +1 Hybrid Full-time Scope, deploy, and maintain production AI solutions with customers. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F5681002f691861d0&placement=top) - [View posting at webAI](https://jobs.ashbyhq.com/webAI/78857124-6c27-4517-b8cc-61b5bd143ed6/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay Not posted Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations Travel **Up to 25%** - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** combined software engineering and machine learning experience Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in Austin, TX · Washington, DC. Could you work in one of these? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Austin, TX · Washington, DC - **Work arrangement**: Hybrid - **Remote work restrictions**: Ideally based in Austin, Texas or the Washington, D.C./Northern Virginia area; fully remote candidates considered case by case. - **Employment type**: Full-time - **Travel**: Up to 25% ## More like this [Booz Allen](https://nextmove.md/fde/companies/booz-allen) ### [AI/ML Engineer](https://nextmove.md/fde/jobs/3d0b7cd0ca4d8261) Chantilly, VA 2mo ago $99,000–$225,000 [Striveworks](https://nextmove.md/fde/companies/striveworks) ### [Senior Machine Learning Engineer (Active TS/SCI Clearance)](https://nextmove.md/fde/jobs/75e641451f1d759c) Falls Church, VA Hybrid 4mo ago $185,000–$230,000 [Accenture](https://nextmove.md/fde/companies/accenture) ### [Snowflake Advanced AI Engineer](https://nextmove.md/fde/jobs/bfaf5e58ec1e0a16) San Francisco, CA · Milwaukee, WI · +39 more 2mo ago $54,400–$205,800 - [Other jobs at webAI (3)](https://nextmove.md/fde/companies/webai) ## The job description from webAI Posted by webAI on Apr 15, 2026 ### Special Notice This position is **not** contingent upon awarding of a project or needing a funding source. This is direct, full-time employment with webAI. ### About the Role We are seeking a Senior Forward Deployed AI Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. This role sits at the intersection of machine learning, systems engineering, and deployment optimization, bridging research and real world implementation. You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. *The ideal candidate will be based in Austin, Texas or in the Washington, D.C./Northern Virginia area. On a case-by-case basis, we will consider fully remote candidates. Qualified candidates who are not based in Austin, Texas may be asked to travel to our Austin, Texas headquarters. This role will require up to 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments.* ### Key Responsibilities - Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments. - Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems. - Debug and optimize data pipelines and AI systems running on customer networks. - Translate complex, often ambiguous customer requirements into well-scoped technical solutions. - Work across the stack—from model inference on consumer hardware to infrastructure automation. - Read hardware schematics/logs to identify performance bottlenecks and suggest improvements. - Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally. - Contribute feedback and insight to internal teams to continuously improve product robustness and usability. ### Required Skills & Qualifications - 5+ years of combined experience in software engineering and machine learning. - Active US Security clearance - Proven track record of deploying and maintaining machine learning/AI systems in production. - Strong expertise in ML frameworks such as PyTorch, TensorFlow, ONNX, JAX, etc. - Experience debugging complex systems involving data pipelines, model inference, and hardware interaction. - Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans. - Comfortable working in dynamic environments with high customer exposure. ### Preferred Qualifications - Experience deploying models on edge devices or consumer hardware. - Familiarity with distributed systems, DevOps tooling, and performance tuning. - Prior experience in a customer-facing engineering role. - Proficiency in developing full stack applications - Knowledge of privacy-preserving AI and secure compute environments. - Master’s degree in a relevant technical discipline. We at webAI are committed to living out the **core values** we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: - **Truth - **Emphasizing transparency and honesty in every interaction and decision. - **Ownership - **Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. - **Tenacity - **Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. - **Humility - **Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. ### Benefits We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired. - Competitive salary and performance-based incentives - Comprehensive health, dental, and vision benefits package - Including a high-deductible HSA option with company contribution - 401k match (US-based only) - Flexible PTO Policy - Parental leave for eligible employees - Continuing education support - Basic, company-paid life insurance - Supplemental life insurance - Company-paid short and long term disability - Free parking for in-office employees webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. [View posting at webAI](https://jobs.ashbyhq.com/webAI/78857124-6c27-4517-b8cc-61b5bd143ed6/application) ## About webAI Distributed AI platform that deploys large models on standard consumer/edge hardware so enterprise data and IP stay fully private, no cloud dependency. 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