AWS AI/ML Technical Practice Lead

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: AI/ML Technical Practice Leader Experience Level: 15+ years Employment type: Full Time Location: Remote - East Coast (USA/Canada) What you will do: 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. This role requires both breadth and depth in AWS cloud and related technology (e.g. applications, infrastructure, security, software development, analytics). But more specifically this role is focused on supporting our growing AWS AI/ML activities. You will: 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 Basic Qualifications (BQ): 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. What is in it for you: 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Drive the technical strategy and execution of the AWS AI/ML business, including leading pre-sales discussions and creating technical proposals. The role involves collaborating with AWS leadership to develop packaged offerings and delivering complex AI/ML customer engagements.

Requires 15+ years of experience with deep expertise in AWS AI/ML products like SageMaker and Bedrock, along with a background in professional services leadership. A Bachelor's degree in Computer Science or Engineering and relevant AWS certifications are required.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AWS AI/ML
• Amazon SageMaker
• Amazon Bedrock
• Technical Strategy
• Pre-sales
• Cloud Architecture
• Professional Services Delivery
• Agentic AI
• Solution Design
• Stakeholder Management
• CI/CD
• DevOps
• Agile
• Scrum
• Technical Leadership
• Public Cloud Implementation
• Call Center Technology
• Sales Strategy
• AWS SageMaker
• Self-Starter
• Energetic
• Generative Artificial Intelligence
• Organizational Skills
• Snowflake (Data Warehouse)
• Google Cloud Platform (GCP)
• Edge Intelligence
• Planning
• Upskilling
• Infrastructure Security
• Research
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Software Development
• Telecommunications
• Business Continuity Planning
• Software As A Service (SaaS)
• Cloud Computing
• Communication
• Computer Science
• Software Development Life Cycle
• Sales
• Financial Services
• Leadership
• Infrastructure As A Service (IaaS)
• Innovation
• Problem Solving
• Life Sciences
• Machine Learning
• Platform As A Service (PaaS)

• Technology
• Management & Leadership
• Consulting
• Software
• Data & Analytics
• Practice Leader
• Artificial Intelligence Engineer (General)
• Software Developers

Formation minimale

Diplôme professionnel

Expérience minimale

15+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine