Senior Applied AI Engineer

Direct Hire (No C2C or third-party submissions)

Schedule:

4 days onsite Interview process: 1st round virtual; 2nd round onsite for 2+ hours Summary

Responsible for leading the design, development, and deployment of advanced AI solutions that solve complex business challenges. Acts as a senior technical authority with deep expertise in areas including computer vision, natural language processing, recommendation systems, and predictive analytics. Guides strategic direction, defines best practices, and influences cross-functional teams to ensure AI initiatives deliver maximum business impact.

This role follows a hybrid work model. Candidates must reside within a commutable distance to either the Irvine, CA or Plano, TX area.

• At least two (2+) years of hands‑on experience with Python, PyTorch, Tensor Flow, or other machine learning frameworks.
• Proven ability to apply large language models (LLMs), generative AI, or open‑source agent‑based frameworks to real‑world business solutions.
• Demonstrated success delivering at least one large‑scale ML/AI application or service on a major cloud platform (Azure, AWS, or GCP).
• Strong knowledge of machine learning algorithms, deep learning architectures, data structures, and applied optimization techniques.
• Familiarity with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow) for building scalable AI/ML deployments.
• Ability to translate experimental or research-driven AI concepts into practical, enterprise‑ready solutions.
• Excellent analytical, problem‑solving, and communication skills, with the ability to influence stakeholders and drive organizational alignment.
• Advanced degree (M.S. or Ph.D.) in Artificial Intelligence, Machine Learning, Data Science, or a related discipline.
• Experience with transformers, edge AI, federated learning, or real‑time inference systems.
• A track record of contributions to open‑source AI initiatives, patents, or published research is highly valued.

• Designs, develops, and delivers AI‑driven solutions that address both business line needs and enterprise‑wide requirements.
• Serves as a recognized authority and internal expert in applied AI, shaping technical strategy and influencing the organization’s long‑term direction.
• Leads large‑scale, complex, and transformative initiatives that directly impact functional and enterprise priorities, operating with a high degree of autonomy and consultative guidance.
• Collaborates with cross‑functional leaders to identify high‑value opportunities for AI adoption and defines solution strategies that drive measurable business outcomes.
• Oversees the full lifecycle of machine learning model development and production deployment, ensuring solutions align with business, product, and operational goals.
• Enhances model performance, scalability, and reliability to meet enterprise‑grade standards.
• Translates advanced AI research and experimental techniques into practical, value‑generating applications.
• Establishes and maintains robust pipelines for data preparation, model training, evaluation, deployment, and ongoing monitoring.
• Champions responsible and ethical AI by integrating fairness, transparency, and security principles into all solutions.
• Continuously monitors emerging AI technologies, frameworks, and best practices to inform strategy and maintain a competitive edge.
• Performs additional duties and special projects as assigned.