Senior Forward Deployed AI Engineer

webAI; United States; Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision benefits

401(k) match

Equity options

$200/month Health & Wellness stipend

Continuing Education support

$500/year Function Health subscription

Free parking for in-office employees

Flexible Time Off

Parental leave for eligible employees

Supplemental life insurance

Job summary

webAI seeks a Senior Forward Deployed AI Engineer to build production‑ready AI systems for secure, distributed environments. You will transform prototypes into scalable solutions across hardware from government cloud to edge devices, coordinating with customers and internal teams.

Based in Austin or the Washington, DC area (remote candidates considered case-by-case), this role requires 5+ years in software and ML, an active US security clearance, and a proven track record deploying ML systems in

Qualifications

• 5+ years of combined experience in software engineering and machine learning.
• Active US Security clearance.
• Proven track record of deploying and maintaining ML/AI systems in production.
• Strong expertise in ML frameworks such as PyTorch, TensorFlow, ONNX, JAX.
• Experience debugging data pipelines, model inference, and hardware interaction.
• Exceptional communication; able to translate vague requirements into actionable plans.
• Comfortable in dynamic environments with high customer exposure.

Responsibilities

• Collaborate with customers to scope, deploy, and maintain AI solutions in production environments.
• Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning across production systems.
• Debug and optimize data pipelines and AI systems on customer networks.
• Translate complex 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.
• Contribute feedback to internal teams to improve product robustness and usability.

Skills

Software engineering

Machine learning

Security clearance

PyTorch

TensorFlow

ONNX

JAX

Data pipelines debugging

Communication

Customer-facing

DevOps tooling

Education

Master’s degree in a technical discipline

Bachelor’s degree in a technical field

Tools

Edge deployment tooling

DevOps tooling

Security and privacy tooling

Job description

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

• Comprehensive health, dental, and vision benefits package

• 401(k) match

• Equity options

• $200/month Health & Wellness stipend

• Continuing Education support

• $500/year Function Health subscription

• Free parking for in-office employees

• Flexible Time Off (FTO)

• Parental leave for eligible employees

• Supplemental life insurance

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.