Adept AI Solutions
Data architect
Adept AI Solutions, Denver, Colorado, United States, 80285
Please share relevant resumes along with consultant contact details and LinkedIn at ******@adeptaisol.comNote: Passport number is mandatory for submission.Title: AI Data Architect
Duration:
Long term (C2C)Experience:
15+ YearsKey Responsibilities:
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.Conduct thorough assessments of potential AI use cases, considering their feasibility, impact, and associated risks.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.Assess the potential impact of AI projects and identify and mitigate risks associated with them, including data privacy concerns, algorithmic bias, and potential misuse of AI.Foster strong relationships with cross-functional teams, including agency and OIT teams, providing guidance and support on technical and ethical considerations.Stay abreast of the latest AI technologies and trends, evaluating their suitability for specific use cases and recommending appropriate solutions.Prepare clear and concise technical reports summarizing the findings of project reviews as well as outlining trends in use cases and opportunities for future use.Required Skills and Experience:
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/ML 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.Additional Desired Skills and Experience:
NIST AI Framework training or certification.Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad.
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Duration:
Long term (C2C)Experience:
15+ YearsKey Responsibilities:
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.Conduct thorough assessments of potential AI use cases, considering their feasibility, impact, and associated risks.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.Assess the potential impact of AI projects and identify and mitigate risks associated with them, including data privacy concerns, algorithmic bias, and potential misuse of AI.Foster strong relationships with cross-functional teams, including agency and OIT teams, providing guidance and support on technical and ethical considerations.Stay abreast of the latest AI technologies and trends, evaluating their suitability for specific use cases and recommending appropriate solutions.Prepare clear and concise technical reports summarizing the findings of project reviews as well as outlining trends in use cases and opportunities for future use.Required Skills and Experience:
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/ML 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.Additional Desired Skills and Experience:
NIST AI Framework training or certification.Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad.
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