AWS Field CTO

Blend360•Columbia, MD

About The Position

Blend360 is seeking an AWS Field CTO to help grow its AWS practice across North America and multiple industries. The role leads and supports pre-sales efforts and helps establish delivery standards and support for effective execution. Working with Blend experts, Client Development leaders, enterprise and private-equity-backed clients, and AWS teams, the Field CTO acts as a strategic advisor and shapes engagements to deliver business value. The role also provides technical leadership across Blend’s global architecture and engineering teams, establishing AWS architecture practices, supporting teams, and contributing to accelerator development. The successful candidate will advocate for AWS, data, and AI solutions; connect technical capabilities to client business opportunities; and communicate effectively with technical and executive audiences. The position includes participation in internal and AWS leadership discussions, client executive engagements, and industry thought leadership.

Requirements

At least 15 years of experience in data or platform architectures.
At least 5 years of experience 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, machine learning and AI (including SageMaker and Bedrock), and serverless.
Strong understanding of real-time and batch architectures and their implications for solution design across analytical and agentic systems.
Demonstrated ability to work closely with sales teams in a pre-sales or solution engineering capacity.
Track record of designing and presenting AWS-based solutions to enterprise audiences at 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 enthusiasm for advocating cloud transformation.
Exceptional communication skills, including technical architecture discussions and business-value storytelling.
AWS certifications are required.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

AWS Solutions Architect Professional certification or specialty certifications in Data, ML, or Security.
Experience with data engineering, generative AI, or agentic AI workloads on AWS.
Advanced degree.

Responsibilities

Partner with Blend Client Partners and Business Development Leaders across North America to drive sales efforts for data platform and AI application architectures and approaches, including proposals, workshops, and other sales activities.
Lead technical discovery sessions, architecture workshops, and solution demonstrations that connect client challenges to AWS-based outcomes.
Engage with AWS field technical teams, including Solutions Architects and Specialist Solutions Architects, to co-develop solutions and strengthen joint co-sell motions.
Support smooth pre-sales-to-delivery handoffs, maintaining solution integrity and client confidence throughout engagements, and contribute to delivery activities where needed.
Serve as Blend’s primary AWS advocate in North American client-facing engagements, explaining the business and technical value of cloud-native, data, and AI architectures on AWS.
Work across regions with Blend architects and AI engineers to establish best-practice recommendations and build an AWS community that supports teams and keeps approaches current.
Work with 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.
Participate in and lead leadership touchpoints within Blend and with AWS.
Engage with client CTOs and CIOs to whiteboard solution designs and communicate complex concepts clearly to less technical executive audiences.
Identify opportunities for Blend to create more client value using AWS by translating technical capabilities into business opportunities.
Help drive architecture standards, team support, and accelerator development across global architects and engineers.