Match score not available

Artificial Intelligence Data Architect

Remote:

Full Remote

Contract:

Freelance

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Technical background in AI and machine learning, Experience with AI and data architecture, Knowledge of responsible AI principles, Proficient in cloud computing and big data technologies, Strong leadership and communication skills.

Key responsabilities:

Collaborate on the development and implementation of AI strategy
Conduct assessments of potential AI use cases
Evaluate technical soundness of AI project proposals
Assess risks and mitigate concerns related to AI projects
Foster relationships and provide technical guidance

GavinHeath

51 - 200 Employees

See more GavinHeath offers

Job description

Artificial Intelligence Data Architect

GavinHeath is partnering with a client in Colorado looking to add a Artificial Intelligence Data Architect to their team. The role is a contract position.

Responsibilities :

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/Client workloads, ensuring data quality, availability, and compliance.
Risk Management & Mitigation: Assess the potential impact of AI projects. Identify and mitigate risks associated with AI projects, including data privacy concerns, algorithmic bias, and potential misuse of AI.
Collaboration: Foster strong relationships with cross-functional teams, including agency and Client 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.

Qualifications :

Leadership, communication and interpersonal skills, with the ability to translate complex technical concepts to diverse audiences on cross-functional teams
Technical background in AI and machine learning, including deep knowledge of AI/Client tools and models (e.g. Google Vertex, AWS Kendra, Snowflake Cortex, AWS SageMaker, Google AI Studio), cloud computing (i.e., AWS, GCP), 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.

GavinHeath is an equal opportunity employer. GavinHeath will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation and gender identity), national origin, disability, age, creed, ancestry, genetic information, or any other status protected under applicable federal, state, or local laws.