AI Data Architect

RESPONSIBILITIES:
Kforce has a client that is seeking an AI Data Architect for a 6-month hybrid role in Denver, CO.

Summary:
This role demands a deep understanding of AI technologies, data architecture principles, and risk management within a public sector context. The successful candidate will collaborate with stakeholders across the organization to identify, assess, and implement AI-powered solutions while ensuring data security, ethical considerations, and compliance with regulations.

Duties:
* AI Strategy & Roadmap: Collaborate with the Chief Data Officer and stakeholders to participate in the development and implementation of a comprehensive AI strategy that aligns with the organization's mission and objectives
* Use Case Identification & Assessment: Conduct thorough assessments of potential AI use cases, considering their feasibility, impact, and associated risks
* Solution Review & Architecture: Evaluate the technical soundness of AI project proposals, focusing on architecture, security, privacy, data quality, model performance, and scalability; Advise on design to ensure scalable and secure data architectures to support AI/ML workloads, ensuring data quality, availability, and compliance
* Collaboration: Foster strong relationships with cross-functional teams, including agency and OIT teams; Provide guidance and support on technical and ethical considerations and assist with strengthening procedure and operationalizing AI considerations
* Technology Evaluation & Selection: Stay abreast of the latest AI technologies and trends, evaluating their suitability for specific use cases and recommending appropriate solutions
* Documentation: Prepare clear and concise technical reports summarizing the findings of project reviews as well as outline trends in use cases and surface considerations around opportunities for future use

REQUIREMENTS:
* Technical background in AI and machine learning, including deep knowledge of AI/ML tools and models (e.g., Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, Google AI Studio), cloud computing (i.e., AWS, Google Cloud Platform), big data technologies (i.e., Snowflake, Redshift, BigQuery), and data architecture principles
* Experience with AI and data architecture and management
* Knowledge of responsible AI principles and ethical considerations
* Senior analytical and problem-solving skills

Additional Desired Skills and Experience:
* NIST AI Framework training or certification

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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