AWS Field CTO — Data & AI Transformation Leader

Blend360

Columbia (MD)

On-site

USD 260,000 - 275,000

Full time

9 days ago

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Job summary

Blend360 is expanding its AWS practice in North America, seeking a Senior AWS Architect to lead pre-sales initiatives, shape delivery standards, and advise Fortune 1000 and private equity-backed client engagements across industries.

You will collaborate with architects and engineers globally to define best practices, drive co-sell motions, and elevate cloud-native data and AI strategies on AWS.

Qualifications

  • 15+ years of experience in data or platform architectures, with at least 5 in cloud architecture, solution engineering, or technical pre-sales with a deep focus on AWS.
  • Strong understanding of AI and deep usage experience.
  • Hands-on expertise across core data and AI services including compute, storage, networking, databases, analytics, ML/AI (SageMaker, Bedrock), and serverless.
  • Strong understanding of real-time and batch architectures and the implications on solution design across analytical and agentic systems.
  • Demonstrated ability to work shoulder-to-shoulder with sales teams in a pre-sales or solution engineering capacity.
  • Strong track record of designing and presenting AWS-based solutions to enterprise audiences at both technical and executive levels.
  • Experience engaging with AWS field teams and navigating co-sell processes, partner programs, and AWS Marketplace.
  • Genuine passion for AWS technology and a drive to be a credible, enthusiastic advocate for cloud transformation.
  • Exceptional communication skills with fluency in both technical architecture discussions and business value storytelling.
  • AWS certifications required; Solutions Architect Professional or specialty certifications (Data, ML, Security) strongly preferred.
  • Experience with data engineering, generative AI, or agentic AI workloads on AWS is a strong differentiator.
  • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.

Responsibilities

  • Partner with Blend Client Partners and Business Development Leaders across North America to drive sales efforts around data platform and AI Application architectures and approach, supporting proposals, workshops, and other sales activities.
  • Lead technical discovery sessions, architecture workshops, and solution demonstrations that connect client challenges to AWS-based outcomes
  • Engage directly with AWS field technical teams (SAs, Specialist SAs) to co-develop solutions and strengthen joint co-sell motions
  • Ensure smooth pre-sales to delivery handoffs, maintaining solution integrity and client confidence through the engagement lifecycle, and delivery activities where needed.
  • Serve as Blend’s primary AWS advocate in North America client-facing engagements, articulating the business and technical value of cloud-native, data, and AI architectures on AWS.
  • Work across regions with Blend’s architects and AI Engineers to establish best practices recommendations and help create a community around AWS to provide support to teams and ensure we stay at the cutting edge of AWS approaches.
  • Work with appropriate AWS counterparts to align on relevant upskilling and collaboration.
  • Contribute to thought leadership through case studies, blog posts, and speaking engagements at AWS and industry events

Skills

AWS
AI/ML expertise
Data engineering
Serverless architectures
Executive communication

Education

Bachelor’s degree in Computer Science, Engineering, or related field
Advanced degree preferred

Tools

SageMaker
Bedrock
AWS Certifications: Solutions Architect Professional or specialty

Job description

Blend360 is expanding its AWS practice in North America, seeking a Senior AWS Architect to lead pre-sales initiatives, shape delivery standards, and advise Fortune 1000 and private equity-backed client engagements across industries.

You will collaborate with architects and engineers globally to define best practices, drive co-sell motions, and elevate cloud-native data and AI strategies on AWS.

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