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Aws Ai Jobs (NOW HIRING)

Quantiphi, Inc.

AWS AI/ML Technical Practice Lead

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, Inc.

AWS AI/ML Technical Practice Lead

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 ...

Capgemini

WI · On-site

$120 - $160/hr

# AWS AI Lead Cloud EngineerDiegemApply for this job* Permanent* Experienced Professionals* Cloud Infrastructure Management* ID 474315-en\_GBChoosing Capgemini means choosing a company where you will ...

RIT Solutions, Inc.

Sr. Software Engineer AWS & AI

Malvern, PA · On-site

$120K - $158K/yr

Responsibilities : • Architect, design, and develop AI-powered applications and services leveraging AWS Bedrock and other AWS native services (Lambdas, Glue, S3, Athena, Kinesis(Not needed), AWS ...

Booz Allen Hamilton

AWS AI Cloud Engineer

Reston, VA

$86K - $198K/yr

AWS AI Cloud Engineer The Opportunity: As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance ...

Phase2 Technology

AWS AI Cloud Engineer

Springfield, VA · On-site

$86.80 - $198/hr

As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to ...

New

Booz Allen Hamilton

AWS AI Cloud Engineer

Springfield, VA · On-site

$86K - $198K/yr

As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to ...

Booz Allen Hamilton

AWS AI Cloud Engineer

Mclean, VA · On-site

$86K - $198K/yr

AWS AI Cloud Engineer The Opportunity: As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance ...

Booz Allen Hamilton

AWS AI Cloud Engineer

Chantilly, VA · On-site

$86K - $198K/yr

AWS AI Cloud Engineer The Opportunity: As an AWS AI Cloud Engineer, you can resolve a problem with a complete end-to-end GenAI solution in a fast, agile environment. If you're looking for the chance ...

CYNET SYSTEMS

Full - Stack AWS AI Engineer

Malvern, PA · On-site

$60 - $65/hr

Hands‑on expertise with AWS services and cloud‑native architectures. * Practical experience building or integrating Agentic or Generative AI solutions. * Proficiency in at least one backend ...

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How much do aws ai jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for aws ai in the United States is $54.05, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $64.42 per hour, depending on experience, location, and employer.

What is an AWS AI?

An AWS AI job involves designing, developing, and deploying artificial intelligence and machine learning solutions on Amazon Web Services. Professionals in this role use AWS services like SageMaker, Rekognition, Lex, and Comprehend to build AI-powered applications. Responsibilities may include data preprocessing, model training, optimization, and deployment in cloud environments. Strong knowledge of machine learning frameworks, cloud infrastructure, and DevOps practices is often required.

What types of projects or tasks can I expect to work on as part of an AWS AI team?

As part of an AWS AI team, you can expect to work on designing, developing, and deploying machine learning models and AI-driven applications using AWS services. Typical projects might involve implementing predictive analytics, building custom computer vision solutions, optimizing data pipelines, or automating business processes. You may also collaborate with data scientists, engineers, and business stakeholders to collect requirements and ensure solutions meet business goals. The work environment is often agile and collaborative, offering strong opportunities for ongoing learning and career advancement within the rapidly evolving field of cloud-based AI.

What are the key skills and qualifications needed to thrive in the AWS AI position, and why are they important?

To thrive in an AWS AI role, you need strong expertise in machine learning, cloud computing, and data engineering, typically supported by a degree in computer science or related fields. Hands-on experience with AWS AI services (such as SageMaker, Rekognition, Lambda), proficiency in Python or similar programming languages, and relevant AWS certifications (like AWS Certified Machine Learning – Specialty) are commonly required. Problem-solving, communication, and the ability to work collaboratively in cross-functional teams make candidates stand out. These skills are crucial for designing, deploying, and optimizing scalable AI solutions using AWS platforms, meeting organizational needs efficiently.

Is AWS AI in demand?

AWS AI roles are in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Skills in AWS services like SageMaker, Rekognition, and Lex, along with cloud computing expertise, are highly sought after in the job market.
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Aws Ai jobs near you
Infographic showing various Aws Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $112,422 per year, or $54 per hour.

AWS AI/ML Technical Practice Lead

Quantiphi, Inc.

Remote

Full-time

Re-posted 5 days ago

Job description

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!

Apply