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Quantiphi

AI-driven digital transformation and automation services

AWS AI/ML Technical Practice Lead

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Deep and relevant AI/ML industry experience of 10–15 years.
  • Profound hands-on experience with AWS AI/ML products, including SageMaker, Transcribe, and Rekognition.
  • Deep experience with AWS Agentic and AI services, including Bedrock, AgentCore, and Amazon Quick.
  • Deep practice leadership and professional services delivery and leadership experience.
  • Knowledge and experience of AWS cloud computing and cloud computing models, including IaaS, PaaS, and SaaS.
  • Hands-on work experience with production implementations on public cloud providers within large enterprises.
  • Direct experience leading, designing, and developing AWS-based AI/ML solutions.
  • Ability to travel an average of 50%, based on the work and clients and industries/sectors served.
  • At least 7 years of project experience architecting, building, and supporting cloud-based solutions on AWS.
  • Bachelor's degree in Computer Science or 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 leadership, communication, coaching, analysis, troubleshooting, and problem-solving skills.
  • Experience as a persuasive and effective presenter, both written and verbal.
  • Experience leading high-performing, results-driven teams with a focus on client satisfaction.
  • Interpersonal and organizational skills, and ability to handle diverse situations, multiple initiatives, and rapidly changing priorities.

Responsibilities

  • Help define and drive AWS AI/ML technical strategy in collaboration with the AWS Global Leader, sales, go-to-market, and supporting teams.
  • Lead pre-sales technical discussions with customers and partners.
  • Assist with creating proposals, statements of work, presentations, and other materials needed to acquire new business.
  • Serve as the subject matter expert on the company's AI/ML and related capabilities and offerings.
  • Interact with AWS leadership to understand current and future product features, releases, and products.
  • Formulate the company's AWS AI/ML strategy, including solutions, offerings, and sales strategy.
  • Engage deeply with AWS sales, partner, and AI/ML specialists.
  • Work with Sales to support customer pursuits and practice revenue growth.
  • Drive strategy and section development for packaged offerings and solutions to attain revenue targets.
  • Develop best practices and share knowledge through blog posts, white papers, articles, prototypes, proofs of concept, workshops, demos, and breakout sessions.
  • Assist in successfully delivering customer engagements using AWS AI/ML products and related solutions.
  • Build relationships with client technology leaders, including C-level executives, vice presidents, and directors, to harness cloud call center technologies.
  • Conduct knowledge-sharing or training sessions on cloud or company capabilities.
  • Maintain and grow technology acumen through continuous research and learning about future trends.

About the Company

Quantiphi

AI-driven digital transformation and automation services

Quantiphi uses AI and digital engineering to help organizations transform by making products and operations smarter and safer. It partners with clients to understand their challenges and then designs and builds customized AI and automation systems—combining machine learning, data analytics, and software engineering—delivering them under long-term contracts with ongoing support, and collaborating with Google Cloud to integrate technologies. Compared with competitors, it provides end-to-end, tailored solutions across industries rather than one-off projects, backed by long-term relationships and strong technology partnerships to scale. Its goal is to embed AI into products and processes to improve customer experiences and overall efficiency.

Company size
1,001-5,000
Company stage
Series A
Total funding
$23.4M
Headquarters
Marlborough, MA
Founded
2013

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