
AI/ML Technical Practice Lead
Posted Jul 21

Posted Jul 21
This is a fully remote position, open to applicants in Canada, +1 more country.
• Quantiphi is on the lookout for a Technical Leader to spearhead our AWS AI/ML initiatives.
• The AI/ML Leader will oversee the overall technical strategy, planning, solutions, and execution to enhance Quantiphi’s AWS AI/ML business.
• Collaborate with the AWS Global Leader, sales, GTM, and other support teams to define and drive our AWS AI/ML technical strategy.
• Lead technical discussions in pre-sales with customers and partners.
• Contribute to the development of proposals, statements of work, presentations, and other necessary materials to secure new business.
• Serve as the subject matter expert on Quantiphi’s AI/ML capabilities and offerings.
• Engage with AWS leadership to stay informed about current and upcoming product features, releases, and offerings.
• Develop Quantiphi’s AWS AI/ML strategy, including solutions, offerings, and sales approach.
• Work closely with AWS sales, partners, and AI/ML specialists.
• Collaborate with Sales to support customer engagements and drive revenue growth.
• Formulate the strategy and direction for creating packaged offerings and solutions to meet revenue targets.
• Promote best practices and knowledge sharing through various methods such as blog posts, white papers, articles, prototypes, proofs of concept, workshops, demos, and breakout sessions.
• Aid in the successful delivery of customer engagements utilizing AWS AI/ML products and related solutions.
• Build relationships with client technology leaders (C-Level, VPs, Directors, etc.) to leverage the advantages of cloud call center technologies.
• Conduct training or knowledge-sharing sessions on cloud or Quantiphi capabilities.
• Maintain your technological edge by continually enhancing your tech knowledge through ongoing research and learning about future trends.
• Extensive and relevant experience in the AI/ML industry (10-15 years).
• Significant hands-on experience with AWS AI/ML products, including Sagemaker, Transcribe, Recognition, and others.
• In-depth experience with AWS Agentic and AI services such as Bedrock, AgentCore, Amazon Quick, etc.
• Strong background in practice leadership and professional services delivery.
• Familiarity with AWS cloud computing and various cloud computing models (IaaS, PaaS, SaaS).
• Self-motivated with substantial hands-on experience in production implementations on public cloud providers in large enterprises.
• Direct experience in leading, designing, and developing AWS-based AI/ML solutions.
• Willingness to travel 50% of the time, on average, depending on client needs and industries.
• Over 7 years of project experience in architecting, building, and supporting cloud-based solutions on AWS.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent work experience.
• Relevant cloud certification within AWS.
• Understanding of the software development lifecycle and methodologies such as agile, SCRUM, CI/CD, and DevOps.
• Proven skills in leadership, communication, coaching, analysis, troubleshooting, and problem-solving.
• Effective, persuasive, and experienced presenter, both in writing and verbally.
• Track record of leading high-performing, results-driven teams with a focus on client satisfaction.
• Outstanding interpersonal and organizational skills, capable of managing diverse situations, multiple initiatives, and rapidly changing priorities.
• Join one of the fastest-growing AI-first digital engineering companies globally and make a significant impact at scale.
• Lead and collaborate with a dynamic team of talented and driven individuals tackling complex and meaningful challenges.
• Work alongside Fortune 500 companies and innovative disruptors in a research-driven environment boasting over 60 patents.
• Stay at the forefront by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
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