Special Notice: This position is NOT contingent upon awarding of a project or needing a funding source. This is 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. 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 - 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.

• Architect and lead the development of agentic AI systems that automate and augment finance workflows. • Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns. • Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutions. • Establish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputs. • Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments. • Develop interpretable, production-grade models that drive retention strategies and financial planning. • Define and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detection. • Design and build scalable AI/ML systems with a strong emphasis on software engineering best practices. • Develop and integrate AI services into internal applications and workflows.

• Design the entire ecosystem for AI solutions • Define the architecture for AI solutions including data pipelines, model storage, inference engines • Establish best practices for MLOps across the engineering team • Evaluate and select the optimal tech stack for AI needs • Mentor senior engineers and present architectural decisions to the C-suite

Company : enGenJob Description : JOB SUMMARY We are seeking a forward-thinking AI Engineer to join our team and contribute to the development of intelligent systems. This role involves more than just model training; it focuses on architecting the connection between cutting-edge research and scalable, production-ready applications. If you enjoy navigating the space between data science and software engineering, you will find this position to be an excellent fit. This position encompasses a variety of critical tasks aimed at advancing our AI capabilities. You will be instrumental in designing and developing machine learning models across Supervised, Unsupervised, and Deep Learning paradigms to address intricate business challenges. A core component of your work will involve defining the architectural strategy for scalable AI pipelines, covering data ingestion, feature engineering, and automated model retraining. You will also be responsible for integrating these AI models into our existing APIs and microservices, collaborating closely with backend engineers. Optimization is another key area, where you will fine-tune algorithms and Large Language Models (LLMs) to enhance performance, reduce latency, and improve cost-efficiency. Additionally, your role involves continuous research and innovation, staying abreast of the latest AI trends such as RAG, Agentic Workflows, and Diffusion Models, and evaluating their potential for our product roadmap. Finally, you will ensure that all model development adheres to ethical AI practices, prioritizing fairness, transparency, and data privacy. To be successful in this role, candidates should possess the following skills and qualifications. Technical proficiencies include programming, with mastery of Python being essential and familiarity with C++, Java, or Go being a plus. Deep experience with frameworks like PyTorch or TensorFlow, and libraries such as Scikit-learn, Hugging Face, and LangChain is also required. Data engineering proficiency in SQL, experience with NoSQL databases, vector databases (e.g., Pinecone, Milvus), and data orchestration tools are necessary. Additionally, cloud and MLOps experience, including deploying models on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD pipelines, is important. Core competencies include a solid understanding of linear algebra, calculus, and statistics; experience with NLP (Natural Language Processing) and Computer Vision; and strong problem-solving skills with the ability to explain complex technical concepts to non-technical stakeholders. ESSENTIAL RESPONSIBILITIES - Takes a lead role for analyzing, designing, coding, testing and implementing more complex application enhancements, as well as providing general production support, meeting defined scope, target dates and budgets with minimal or no defects. - Utilizes and participates in the more complex full system development life cycle, per current Highmark SDLC standards. - Takes a lead role in collaborating with customers, business analysts, partners, and IT team members to understand business requirements that drive the analysis and design of quality technical solutions. Concentrates on providing innovative solutions to more complex business needs. - Takes a lead role in providing required technical support, including release implementations, on-call and 24x7 supports when necessary. - Performs work in compliance with all Highmark and Highmark IT standards, policies and procedures. - Actively takes a leading role and participates on project teams in various project roles, including, but not limited to, Developer, Technical Lead and Project Manager, based upon level of experience. - Effectively communicates with team members, customers, partners and management, including assisting with or conducting more complex technical walkthroughs, reporting project status, enabling vendor solutions and providing accurate and concise documentation. - Other duties as assigned or requested. EDUCATION Required - Bachelor’s degree in Information Technology, Computer Science or closely related field Substitutions - None Preferred - Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience). EXPERIENCE Required - 5 years of experience as a developer - Experience with Project Management tools - Experience with databases - Experience with multiple coding languages Preferred - Domain Knowledge: Previous experience in Healthcare LICENSES or CERTIFICATIONS Required - None Preferred - Certification such as JAVA Developer, DB2 Certification, Cognos Certification SKILLS - Problem solving, root cause analysis, and issue resolution - Demonstrated leadership skills - Experience in Healthcare or Health Insurance Industry - Experience with technology platforms, application development tools, business processes, software development life cycle used by Highmark enterprise Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Occasionally Travel regularly from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required Yes Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $86,400.00 Pay Range Maximum: $138,600.00 Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org California Consumer Privacy Act Employees, Contractors, and Applicants Notice