AI Architect

AI Architect

Location:

Irvine, CA

Duration:
Fulltime

Job Description:

Must-Have Strong communication skills to simplify complex AI concepts. Shape and evolve the company’s AI strategy in alignment with business priorities. Define vision, principles, and success metrics for AI adoption. Act as an internal advocate and thought leader for responsible AI innovation. Partner with departmental AI Champions to identify and prioritize high-value use case Familiarity with responsible AI and ethical principles Deep knowledge of AI/ML tools (e.g., Vertex AI, Sage Maker).

AI Agentic experience, Google cloud, Python and SQL, Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment. Expertise in cloud (AWS, GCP) and Data lake

Good-to-Have Experience with advanced statistical modeling techniques (e.g., causal inference, time series analysis, Bayesian methods). Proven with Python, SQL & GCP vertex AI Contributions to open-source AI/ML projects or publications in relevant academic conferences.

Responsibility of / Expectations from the Role Day-to-day technical responsibilities Design and develop AI architectures that meet business requirements and enhance operational efficiency. Implement machine learning models using frameworks such as Tensor Flow, Spark, and R. Collaborate with data engineers to build ETL processes and ensure seamless data integration for model training. Conduct data mining and analytics to extract meaningful insights from complex datasets.

Deploy models into production environments while ensuring scalability and performance. Stay updated with the latest advancements in AI, machine learning, and related technologies. Mentor junior team members on best practices in AI development and deployment. Assess AI use cases for feasibility, impact, and risks. Review and advise on AI/ML solution architecture, scalability, data quality, and security. Identify and mitigate risks (privacy, bias, compliance).

Skills Proficiency in programming languages including Python, Java, C, C#, and SQL. Experience with machine learning frameworks such as Tensor Flow, SAS, and various analytics tools. Familiarity with unsupervised learning techniques and model training methodologies. Knowledge of database design principles and experience with linked data concepts. Understanding of quantum engineering principles is a plus. Experience with data visualization tools like Looker.

Proficient in scripting languages such as Bash (Unix shell) and VBA for automation tasks. Strong analytical skills with the ability to work with large datasets using tools like Talend.

Join us in shaping the future of AI technology by applying your expertise in this exciting role!