AI/ML Technical Practice Lead

🕒 vor 14 Tagen

🌐 Vereinigte Staaten, Kanada – Remote

🇺🇸 Vereinigte Staaten – Remote 🇨🇦 Kanada – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Quantiphi

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2013

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

💰 Series A im 2019-12

Consulting • Healthcare • Logistics

Quantiphi ist ein führendes, AI-orientiertes Digital-Engineering-Unternehmen, das auf ein Jahrzehnt Branchenerfahrung zurückgreift, um Unternehmen durch skalierbare, sichere und anpassungsfähige KI-Lösungen zu stärken. Durch die Integration modernster Technologie mit realen Anwendungen transformiert Quantiphi Organisationen in verschiedenen Sektoren, darunter Gesundheitswesen, Finanzen, Bildung und Einzelhandel. Ihre Dienstleistungen reichen von KI-Anwendungen über Datenanalyse, Modernisierung von Cloud-Infrastrukturen bis hin zu maßgeschneiderten KI-Implementierungen. Quantiphi arbeitet mit Technologie-Giganten wie AWS, Google Cloud, NVIDIA und anderen zusammen, um die Einführung von KI zu fördern und transformative Möglichkeiten für Unternehmen zu schaffen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.