AI/ML Technical Practice Lead

Quantiphi

AI/ML Technical Practice Leader driving AWS AI/ML business strategies and solutions for a leading digital engineering company. Focus on pre-sales discussions and technical strategy with AWS leadership.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AWS AI/ML products and solutions, with a strong focus on technical strategy, leadership, and client engagement. Proven ability to drive revenue growth through innovative packaged offerings and effective collaboration with sales and technical teams.

Highest-signal resume keywords

AWS AI/ML ProductsAI/ML Industry ExperienceCloud Computing ModelsLeadership in Professional ServicesCloud Certification within AWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS SagemakerAWS TranscribeAWS RecognitionAWS BedrockAWS AgentCoreAmazon QuickCloud-Based Solution ArchitectureProduction ImplementationsAgile MethodologiesDevOps Practices

Soft Skills

LeadershipCommunicationCoachingProblem SolvingInterpersonal Skills

Certifications & Qualifications

Cloud Certification within AWS

Industry Keywords

AI/ML SolutionsPublic Cloud ProvidersClient SatisfactionKnowledge SharingSales Strategy

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Quantphi 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.
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 Quantphi’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. blogposts, 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.
Working and building relationships with client technology leaders (C-Level, VPs, Directors, etc.) to harness the benefits cloud call center technologies.
Conduct knowledge sharing or training sessions on cloud or Quantiphi capabilities.
Maintaining your technology edge by continuing to grow your technology acumen through continuous research and learning of future trend.

Requirements

What you’ll need

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 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 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.

Benefits

Comp & perks

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.