Remotery

AI/ML Technical Practice Lead

Posted Jul 21

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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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