[Hiring] AWS AI/ML Technical Practice Lead @Quantiphi

Role Description

Quantiphi is seeking a Technical Leader to drive our 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 (e.g. applications, infrastructure, security, software development, analytics). More specifically, this role is focused on supporting our growing AWS AI/ML activities. You will:

• 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.
• Assist with 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 of 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 best practices and knowledge sharing through various 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.

Qualifications

• Deep and relevant AI/ML industry experience (10-15 years).
• Profound hands-on experience with AWS AI/ML products such as Sagemaker, Transcribe, Recognition and all others.
• Deep experience with AWS Agentic and AI services including Bedrock, AgentCore, Amazon Quick, etc.
• 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 enterprises.
• 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.

Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!