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Aws Pre Sales Jobs (NOW HIRING)

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · On-site

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery ...

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · Remote

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery ...

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · On-site

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · On-site

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery ...

Cloudelligent

AWS Solutions Architect- AI/ML

Dallas, TX · Remote

$64 - $84/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery ...

EOS

Network Pre-Sales Systems Engineer

New York, NY · On-site

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

EOS

Network Pre-Sales Systems Engineer

Chicago, IL

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

EOS

Network Pre-Sales Systems Engineer

Baltimore, MD · On-site

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

EOS

Network Pre-Sales Systems Engineer

New York, NY

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

EOS

Network Pre-Sales Systems Engineer

Boston, MA · On-site

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

EOS

Network Pre-Sales Systems Engineer

New York, NY · On-site

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

EOS

Network Pre-Sales Systems Engineer

Atlanta, GA · On-site

We are seeking a passionate and high-energy Network Pre-Sales System Engineer ready to take the ... Exposure to hyperscaler environments (AWS, Azure, GCP) and hybrid cloud networking architectures.

Everpure

Pre-Sales Systems Engineer, Everpure Resilience

$118K - $193K/yr

Pre-sales experience is required * 3+ years of relevant experience, mixed among technology, design ... Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a ...

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Aws Pre Sales information

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How much do aws pre sales jobs pay per year?

As of Sep 5, 2026, the average yearly pay for aws pre sales in the United States is $121,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $149,500.00 per year, depending on experience, location, and employer.

What is an AWS Pre Sales?

An AWS Pre-Sales job focuses on assisting potential customers in understanding and adopting AWS solutions. Professionals in this role work closely with sales teams to provide technical expertise, demonstrations, and solution recommendations. They engage with clients to assess their needs, design cloud architectures, and address any technical concerns. Strong communication skills, AWS knowledge, and problem-solving abilities are essential for success in this role.

What does an AWS Pre Sales do?

An AWS Pre-Sales role typically involves working closely with account executives to identify client requirements, designing AWS-based solutions, and delivering technical presentations or product demonstrations. You’ll regularly engage with prospective customers to answer questions, address concerns, and ensure proposed cloud architectures align with their business goals. Collaboration with post-sales engineering teams and staying current with the latest AWS developments are also key aspects of the job. This position offers a dynamic mix of client interaction, technical problem-solving, and teamwork within a rapidly evolving cloud environment.

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

Succeeding as an AWS Pre-Sales professional requires strong knowledge of cloud computing concepts, deep expertise in Amazon Web Services offerings, and often a background in IT or computer science. Familiarity with AWS tools (like EC2, S3, CloudFormation), solution architecture, and relevant certifications (such as AWS Certified Solutions Architect – Associate or Professional) are highly valuable. Excellent communication, presentation, and relationship-building skills are critical for understanding client needs and collaborating with sales and technical teams. These abilities are essential for designing tailored solutions, building customer confidence, and ultimately driving business growth.

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Aws Pre Sales jobs near you
Infographic showing various Aws Pre Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $121,950 per year, or $58.6 per hour.

AWS Solutions Architect- AI/ML

Cloudelligent

Austin, TX • On-site

$64.25 - $84.25/hr

Full-time

Re-posted 26 days ago

Key responsibilities

  • Design and implement scalable cloud solutions that integrate data engineering, Generative AI, and machine learning technologies to enhance business operations.

  • Lead cloud modernization initiatives, including app migration, multi-region deployments, and cloud-native architecture development.

  • Collaborate with clients and internal teams to understand business goals, conduct architecture sessions, and ensure solutions meet scalability, security, and cost optimization requirements.

Job description

 Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
  • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
  • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
  • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
  • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
  • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
  • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
  • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
  • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
  • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
  • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
Requirements
  • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
  • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
  • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
  • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
  • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
  • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
  • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
Highly Preferred
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect – Associate or Professional

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