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Open nowFirst seen 33 hours ago

Lead Cloud Solution Architect- AI & Data (AWS)

World Wide Technology Holding, LLC368 open roles

Where
Remote - Nationwide, USA
Work mode
Remote
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Your applicationOpen nowLead Cloud Solution Architect- AI & Data (AWS)World Wide Technology Holding, LLC · Remote - Nationwide, USA

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. World Wide Technology Holding, LLC postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 33 hours ago

World Wide Technology Holding, LLC median: 1 days open

The posting

Qualifications

  • Minimum 10 years of progressive experience in data architecture, data engineering, cloud architecture, or related technical disciplines
  • Minimum 7 years of hands-on experience designing, deploying, and operating data and AI workloads on AWS in enterprise environments
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
  • Demonstrated real-world experience designing and delivering enterprise data platforms, including data lakes, data warehouses, streaming architectures, and data governance frameworks
  • Deep expertise in AWS data and AI platform services: Redshift, Glue, Lake Formation, Kinesis, EMR, Athena, SageMaker, Bedrock, and related ecosystem services
  • Proven hands-on experience with Databricks or Snowflake deployed on AWS in enterprise environments
  • Demonstrated experience designing AI-ready data architectures, including data preparation pipelines, vector stores, retrieval-augmented generation (RAG) patterns, and AI governance frameworks
  • Proven ability to develop and articulate AI & Data business cases, connecting technical architecture decisions to client outcomes and measurable business value
  • Experience authoring SOWs, LOEs, reference architectures, and delivery playbooks that technical teams can execute from
  • Strong communication skills, able to present data and AI architecture concepts to executive audiences and technical depth to delivery teams with equal effectiveness

Strongly Desired Skills

AWS Certifications

  • AWS Certified Solutions Architect: Professional (strongly preferred)
  • AWS Certified Data Engineer: Associate or Professional
  • AWS Certified Machine Learning: Specialty

Platform Certifications

  • Databricks Certified Data Engineer (Associate or Professional)
  • Snowflake SnowPro Core or Advanced: Data Engineer

Technical Depth

  • Enterprise data architecture patterns: data lakehouse, data mesh, data fabric, medallion architecture
  • Data pipeline and orchestration tooling: Apache Airflow, AWS Step Functions, Glue workflows, dbt
  • Streaming and real-time data architectures: Kinesis Data Streams, Kafka on AWS (MSK), EventBridge
  • Data governance and cataloging: AWS Lake Formation, Glue Data Catalog, data lineage and quality frameworks
  • AI operationalization on AWS: Bedrock, RAG architecture design, agentic workflow patterns, prompt engineering, AI governance
  • Vector database and embedding patterns relevant to enterprise AI workloads
  • SageMaker for model deployment, inference, and MLOps; experience with model training is a differentiator
  • Application security patterns relevant to data and AI (data access controls, PII handling, model governance)
  • Cloud cost modeling and FinOps principles as applied to data platform architecture decisions

Multi-Cloud Exposure

  • Familiarity with Azure data and AI services (Azure Synapse, Azure Data Factory, Azure AI Foundry, Microsoft Fabric)
  • Experience advising clients on multi-cloud data strategy or workload placement decisions across AWS and Azure
  • Microsoft Azure certifications (any level) are a plus

What Success Looks Like in Year One

  • WWT's AI & Data service offerings are sharper, more repeatable, and faster to scope, measurably reducing presales cycle time
  • Solution Architects trust this role as their go-to technical escalation for AI & Data pursuits
  • Delivery oversight has prevented at least one significant architectural problem from reaching the client
  • The frameworks, playbooks, and standards this role has built have made WWT's AI & Data delivery more scalable, enabling the team to take on greater volume without sacrificing quality
  • Client satisfaction scores on AI & Data engagements reflect a measurable improvement in delivery consistency and outcome achievement

Want to learn more about Consulting Services? Check us out on our platform:

https://www.wwt.com/consulting-services

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $175,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

  • Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
  • Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
  • Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US benefits website at wwt.com/us-benefits.

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.

World Wide Technology is an Equal Opportunity Employer.

If you have any questions or concerns about this posting, please email [email protected].

#LI-MP2

#LI-REMOTE

Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What is the Solutions Consulting & Engineering (SC&E) Team and why join?

Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.

As a Lead Solution Architect, AWS AI/Data, you are a senior individual contributor and recognized AWS data and AI expert who builds the go-to-market assets and leads the solution architecture that win WWT's AI & Data business.

This is a sales-facing role, not a delivery execution role. Your primary mandate is to create the pitch materials, sales plays, competitive positioning, and business-case content that Solution Architects and account teams use to win pursuits, and to personally lead technical discovery and solution design in the highest-value pursuits. You bring deep, current technical expertise in enterprise data and AI architecture, but your output is measured by the strength of the GTM materials you build and the deals you help win, not by internal delivery frameworks.

You understand that AI outcomes are only as strong as the data foundation beneath them. You bring real-world experience designing enterprise data platforms, and you know how to structure, govern, move, and prepare data so AI can work. Critically, you also know how to translate that technical depth into a business case and a compelling client narrative. You've sold solutions, not just built them, and you're comfortable owning the technical story in front of an economic buyer.

Key Responsibilities

GTM & Sales Enablement Development

  • Build and maintain pitch decks, sales plays, and solution narratives for WWT's AI & Data offerings on AWS, translating technical architecture into client-ready business value
  • Develop competitive battlecards, differentiators, and positioning content that account teams and Solution Architects use in active pursuits
  • Create ROI models and business-case frameworks that connect data and AI architecture decisions to measurable client outcomes
  • Produce industry point-of-view and thought-leadership content that establishes WWT's credibility in AI & Data ahead of the pursuit
  • Partner with Practice Leadership and Marketing to align GTM content to client demand signals, competitive positioning, and AWS partner co-investment opportunities
  • Maintain a working library of reusable GTM assets, refreshed as offerings, competitive dynamics, and AWS services evolve

Solution Architecture in the Sales Cycle

  • Lead client-facing discovery and solutioning as the senior technical voice on data architecture and AI operationalization, translating ambiguous business problems into well-scoped, value-anchored solutions
  • Design and present the proposed solution architecture directly to client stakeholders, from technical teams through economic buyers
  • Own the technical narrative in RFP/RFI responses, including the solution narrative, architecture rationale, and differentiators grounded in WWT's actual delivery experience
  • Partner with AWS field teams and WWT account executives to position AI & Data offerings and shape pursuit strategy on strategic accounts
  • Review SOWs, LOEs, and technical proposals for scope, risk, and pricing consistency before they reach the client

Technical Credibility & Light-Touch Governance

  • Stay hands-on and current with AWS data and AI services to remain a credible technical voice with clients and AWS field teams
  • Spot-check architecture on the largest or highest-risk pursuits prior to signature and flag material risk to Delivery Leads; this is not a delivery oversight function
  • Capture pursuit and win/loss learnings and feed them back into GTM content, closing the loop between what wins deals and what the market is asking for
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