Live opening · Posted 16 days ago

AI Consultant / AI CoE Lead

DataArt · Virginia, United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 16 days ago
CompanyDataArt
LocationVirginia, United States (Remote)
Work modeYes
SkillsAWS, Azure
SourceLinkedin
ListedPosted 16 days ago

About the role

Description supplied by the original job listing.

Responsibilities
Serve as the primary AI consultant to the client, understanding their business challenges and identifying opportunities for AI-driven innovations.
Develop and drive the AI strategy aligned with client goals, facilitating innovation and best practices through the AI Center of Excellence.
Lead the assessment, prioritization, and roadmap planning of AI initiatives.
Collaborate with cross-functional teams including product owners, data scientists, engineers, and business stakeholders to scope, design, and deliver AI solutions.
Provide expert guidance on AI technologies, frameworks, and architectures suitable for the client’s environment.
Ensure AI projects meet business objectives, maintain technical quality, and follow ethical AI principles.
Mentor and lead AI CoE team members to build internal AI capabilities and knowledge sharing.
Stay abreast of AI trends, tools, and emerging technologies to advise on continuous improvement and innovation.
Manage stakeholder expectations, communicate roadmap progress, benefits, risks, and delivery outcomes consistently.
Requirements
7+ years of experience in AI consulting, solution architecture, or related roles, ideally with leadership responsibilities.
Proven expertise in AI/ML technologies, frameworks, and best practices.
Strong track record of driving AI initiatives from ideation through design and implementation in enterprise environments.
Experience working directly with clients and executive leadership to translate business needs into AI solutions.
Hands-on collaboration experience with development teams and data scientists.
Solid understanding of AI ethics, data privacy, and responsible AI principles.
Excellent communication, stakeholder management, and leadership skills.
Ability to work in complex, fast-moving environments and manage multiple priorities.
Advanced degree in Computer Science, AI, Data Science, or related fields preferred.
Nice to have
Experience building or leading Centers of Excellence or CoE-like structures.
Familiarity with cloud AI platforms (AWS, Azure, Google Cloud) and AI lifecycle management tools.

Work arrangement
Yes

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