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Intellias · 1 week ago

Head of AI, Practice Leader

United States

Full-time

Remote

Director/Executive

10+ years exp

Intellias is dedicated to changing industries through the power of digital technology, seeking a visionary leader for their global AI & ML practice. The role involves shaping the practice, driving growth and innovation, and building a world-class team while cultivating client relationships.

AnalyticsBlockchainConsultingInformation ServicesInformation Technology

Growth Opportunities

Hiring Manager

Irada Falsval (Akhmedova)

Responsibilities

Act as a trusted advisor to C-level executives, understanding their business challenges and proposing strategic AI/ML solutions

Identify and pursue new business opportunities, establish a robust sales pipeline, and close deals for AI/ML consulting projects

Design and pitch comprehensive AI/ML proposals, including project scope, methodology, timeline, and resource allocation

Define the technical direction and roadmap for the AI/ML practice, staying ahead of industry trends and emerging technologies

Build, mentor, and lead a high-performing team of AI/ML engineers, data scientists, and solution architects

Develop and execute a marketing strategy to elevate our brand as a leader in AI/ML consulting

Author white papers, case studies, and blog posts to showcase our expertise and thought leadership

Represent the company at industry conferences, webinars, and events to expand our network and influence

Forge strategic alliances with technology partners and academic institutions to enhance our service offerings

Qualification

AI expertiseML expertiseManagement experienceMLOpsGen AIBusiness acumenLeadership presenceLean mindsetIT outsourcingConnected technology trendsAdvanced English

Required

At least 3+ years of experience in AI, 10+ years of experience in ML and software engineering

5+ years of experience in management and innovation consulting, with proven experience working with C-level executives

MSc or PhD Degree in Computer Science, Mathematics, Statistics, or another engineering area; additional business or financial education would be an advantage

Deep expertise in AI, ML, Gen AI, MLOps, Agentic AI, and related areas

Understanding of connected modern technology trends: Data, Cloud & DevOps, IoT, etc

Profound understanding of a large IT outsourcing company's business: governance, processes, org. structure, financial management, etc

Lean mindset, combining technology and entrepreneurial skills with core management skills; leadership presence

Advanced level of written and spoken English