AI Technologist & Architect - 1A7A005

SNIPEBRIDGE•Austin, TX

11d

About The Position

Step into a hands-on leadership role where your AI expertise drives real impact. As our AI Technologist, you’ll shape the vision, guide the delivery team, and co-create the next generation of AI systems. Work alongside a recognized hi-tech AI leader, challenge conventional approaches, and bring fresh, outside-in insights to boost accuracy and efficiency at scale. If you thrive at the intersection of innovation and execution, this is your opportunity to lead from both the whiteboard and the keyboard.

Requirements

12+ years of professional experience in AI, data science, or advanced analytics.
Career foundation as a data scientist or technical architect, with strong programming, modeling, and system design expertise.
Demonstrated experience in designing, building, and scaling AI/ML solutions for large enterprises.
Proven track record of thought leadership - publishing, speaking, or driving innovation in AI.
Hands-on technical skills to prototype models, debug pipelines, and solve customer challenges directly.
Exceptional communication and stakeholder management skills, with the ability to influence both technical and executive audiences.
Experience managing senior-level teams and collaborating across product, engineering, and business functions.
Only open to US Citizens and Green Card holders

Responsibilities

Define and execute the AI & Data Science strategy in alignment with organizational objectives.
Serve as a thought leader, evangelizing best practices in applied AI, responsible AI, and data-driven decision-making.
Engage with executives and industry forums to establish the organization as a leader in AI innovation.
Architect and oversee the design of enterprise-grade AI solutions that can scale seamlessly across geographies, business units, and technology ecosystems.
Bridge the gap between business requirements and technical implementation, ensuring measurable business impact.
Provide hands-on expertise in critical situations - personally debugging, tuning, or prototyping solutions when needed.
Build frameworks and reference architectures that accelerate AI adoption at enterprise scale.
Mentor and develop data scientists, ML engineers, and solution architects to build high-performing, cross-functional teams.
Promote a culture of experimentation, continuous learning, and customer-centric innovation.
Lead by example - balancing technical rigor with pragmatic delivery.
Partner directly with enterprise customers to understand challenges and translate them into actionable AI solutions.
Serve as an escalation point, leveraging hands-on technical skills to resolve complex customer issues.
Build trust and credibility with clients through strong communication, solution ownership, and thought leadership.