Senior AI Engineer

Veritas Search Group; Tustin (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Veritas Search Group is seeking a Senior AI Engineer to drive design, development, and deployment of advanced AI solutions addressing complex business challenges. The role requires leadership across domains like computer vision, NLP, recommender systems, generative AI, and predictive analytics.

You will set strategic direction for AI initiatives, establish engineering best practices, and partner across functions to maximize business impact. Hybrid work in the US is supported.

Qualifications

• 5+ years of professional software engineering experience.
• 2+ years with Python and ML frameworks (PyTorch/TensorFlow).
• Proven use of LLMs, generative AI, or agent-based AI in real-world problems.
• Experience delivering large-scale ML/AI app on Azure/AWS/GCP.
• Strong ML algorithms, deep learning, data structures, optimization.
• Excellent analytical and stakeholder management skills.

Responsibilities

• Design, develop, and deliver scalable AI solutions meeting business needs.
• Lead as SME in applied AI, guiding technical direction.
• Drive large, complex AI initiatives across programs.
• Identify high-impact AI use cases with stakeholders.
• Guide ML model development and production deployment.
• Implement robust data pipelines for training, evaluation, deployment, and monitoring.
• Apply MLOps practices to lifecycle management.
• Promote responsible AI: fairness, transparency, security.

Tools

Docker

Kubernetes

MLflow

CI/CD pipelines

Model monitoring

Job description

This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is hybrid in Tustin, CA or Plano, TX.

Position Summary

The Senior AI Engineer serves as a technical leader responsible for driving the design, development, and deployment of advanced artificial intelligence solutions that address complex business challenges. This role provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, generative AI, and predictive analytics.

The position sets strategic direction for AI initiatives, establishes engineering best practices, and partners cross-functionally to maximize the business impact of AI investments.

Key Responsibilities

• Design, develop, and deliver scalable AI solutions that meet business and enterprise requirements

• Serve as a subject matter expert in applied AI, influencing technical direction and long-term strategy

• Lead large, complex, and transformative AI initiatives across functional or enterprise programs

• Partner with cross-functional stakeholders to identify high-impact AI use cases and define solution approaches

• Guide development and production deployment of machine learning models aligned to product and business needs

• Optimize model performance, scalability, reliability, and maintainability to enterprise standards

• Translate cutting-edge AI research and experimental techniques into deployable, value-driven solutions

• Establish and maintain robust pipelines for data preparation, training, evaluation, deployment, and monitoring

• Implement MLOps best practices to support scalable, repeatable model lifecycle management

• Promote responsible AI principles, including fairness, transparency, explainability, and security

• Monitor emerging AI trends, frameworks, and tools to inform innovation and maintain competitive advantage

• Contribute to additional technical initiatives and strategic projects as needed

Required Qualifications

• 5+ years of professional software engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python (C# experience preferred)

• 2+ years of hands-on experience with Python and machine learning frameworks such as PyTorch, TensorFlow, or similar

• Proven experience applying large language models (LLMs), generative AI, or agent-based AI frameworks to real-world business problems

• Demonstrated success delivering at least one large-scale ML/AI application on a cloud platform (Azure, AWS, or GCP)

• Strong understanding of machine learning algorithms, deep learning architectures, data structures, and optimization techniques

• Experience with MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines, model monitoring, etc.)

• Ability to convert research concepts and experimental AI approaches into practical, enterprise-grade solutions

• Excellent analytical, communication, and stakeholder management skills

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or related field

• Experience with transformers, edge AI, federated learning, or real-time inference systems

• Contributions to open-source AI projects, patents, or published research

• Familiarity with enterprise productivity and collaboration tools (Word, Excel, PowerPoint, Teams, etc.)