Senior Forward Deployed AI Engineer

webAI; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health, dental, and vision benefits

Equity options

401(k) match

$200/month Health & Wellness stipend

Flexible Time Off

Parental leave

Continuing Education support

Job summary

A leading AI company in Austin, Texas is searching for a Senior Forward Deployed AI Engineer to support Public Sector initiatives by building and optimizing production-ready AI solutions. The role involves transforming prototype models into scalable systems for secure environments, making it essential for candidates to have strong backgrounds in machine learning and software engineering. Benefits include a competitive salary, health and wellness stipends, and flexible time off.

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.

Responsibilities

• Collaborate closely with customers to scope, deploy, and maintain AI solutions.
• Design, develop, and deploy agentic workflows for decision-making.
• Debug and optimize data pipelines and AI systems.

Skills

Software engineering

Machine learning

Communication skills

Debugging complex systems

Education

Master's degree in a relevant technical discipline

Tools

PyTorch

TensorFlow

ONNX

JAX

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, candidates who are fully remote. 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.

Values

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

• Competitive salary
• Comprehensive health, dental, and vision benefits package
• Equity options
• 401(k) match (U.S.-based employees only)
• $200/month Health & Wellness stipend
• Continuing Education support
• $500/year Function Health subscription (U.S.-based employees only)
• 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.