AI/ML Technical Practice Lead

About the role

Quantiphi is seeking a Technical Leader to drive its AWS AI/ML business. The AI/ML Leader is responsible for the overall technical strategy, planning, technical solutions, and execution in driving Quantiphi’s AWS AI/ML business. This role requires both breadth and depth in AWS cloud and related technology.

Responsibilities

• Help define and drive our AWS AI/ML technical strategy in collaboration with the AWS Global Leader, sales, GTM and other supporting teams
• Lead pre-sales technical discussions with customers and partners
• Aid in the creation of proposals, statements of work, presentations, and other materials needed to acquire new business
• Be the subject matter expert on Quantiphi’s AI/ML and related capabilities and offerings
• Interact with AWS leadership to understand current and future product features, releases, and products
• Formulate Quantiphi’s AWS AI/ML strategy (Solutions, offerings, sales strategy, etc.)
• Engage deeply with AWS sales, partner, and AI/ML specialists
• Work with Sales in support customer pursuits and practice revenue growth
• Drive the strategy and section for the creation of packaged offerings and solutions in order to attain revenue targets
• Develop of best practice and knowledge sharing through a number of methods (e.g. blog posts, white papers, articles, prototypes, proof of concepts, workshops, demos, breakout sessions)
• Assist in successfully delivering customer engagements using AWS AI/ML products and related solutions
• Work and build relationships with client technology leaders (C-Level, VPs, Directors, etc.) to harness the benefits of cloud call center technologies
• Conduct knowledge sharing or training sessions on cloud or Quantiphi capabilities
• Maintain your technology edge by continuing to grow your technology acumen through continuous research and learning of future trends

Requirements

• Deep and relevant AI/ML industry experience (10-15 years)
• Profound hands-on experience with AWS AI/ML products such as Sagemaker, Transcribe, Recoknition, and all others
• Deep practice leadership/professional services delivery and leadership experience
• Knowledge and experience of AWS cloud computing and cloud computing models (IaaS, PaaS, and SaaS)
• Self-starter with deep hands-on work experience with production implementations on public cloud providers within large enterprise
• Direct experience with leading, designing, and developing AWS-based AI/ML solutions
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors
• 7+ years project experience architecting, building, and supporting cloud-based solutions on AWS
• Bachelor's Degree in Computer Science, Engineering, or equivalent work experience
• Applicable cloud certification within AWS
• Understanding of the software development lifecycle and concepts such as agile, SCRUM, CI/CD, and DevOps
• Demonstrated skills in leadership, communication, coaching, analysis, troubleshooting, and problem-solving
• Experienced, persuasive, and effective presenter, both written and verbal
• Experience leading high-performing, results-driven teams with a focus on client satisfaction
• Excellent interpersonal and organizational skills, ability to handle diverse situations, multiple initiatives, and rapidly changing priorities