Full-Time

Microsoft Copilot Pre-Sales Solutions Architect

Updated on 9/8/2026

Blueprint Technologies

Blueprint Technologies

501-1,000 employees

Technology solutions firm enabling digital transformation

Compensation Overview

$50 - $55/hr

Remote in USA

Remote

Bachelor's

Category
Solution Engineering (1)
Required Skills
LLM
Microsoft Azure
Data Analysis

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Requirements
  • A bachelor's degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field, plus 7 to 9 years of relevant experience, or equivalent practical experience.
  • Relevant experience in cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, solution architecture, practice development, or technical consulting.
  • At least 5 years of experience in an enterprise customer-facing role.
  • At least 5 years of experience delivering customer-facing technical projects.
  • At least 5 years of experience working with enterprise productivity and cloud platforms.
  • The ability to manage internal and external stakeholders and communicate effectively with technical, business, and executive audiences.
  • Hands-on experience deploying and driving adoption of enterprise AI productivity solutions, including administration, analytics, and organizational change management.
  • Deep expertise in identity, security, compliance, and information governance, including conditional access, identity governance, sensitivity labeling, data loss prevention, AI data security posture management, and advanced content management controls.
  • Experience building, deploying, and governing AI agents through a low-code agent development platform.
Responsibilities
  • Drive sustained adoption of enterprise AI assistants, collaboration tools, and AI agents through structured customer success and change-management plans.
  • Advise customers and partners on designing, deploying, customizing, and operationalizing AI-powered workplace solutions.
  • Help customers identify, prioritize, and implement AI and agentic use cases aligned with business objectives.
  • Lead technical engagements to resolve barriers related to identity, security, compliance, governance, data access, licensing, and platform readiness.
  • Establish secure and responsible AI foundations, including data protection, oversharing controls, information governance, and compliance practices.
  • Guide customers through AI agent development and governance using a register, govern, and protect framework.
  • Develop adoption and change-management plans addressing executive sponsorship, user segmentation, communications, training, and enablement.
  • Educate customers and partners through technical demonstrations, presentations, workshops, and end-user training.
  • Use adoption analytics and platform insights to communicate usage trends, business impact, progress, and return on investment.
  • Engage technical and business decision-makers, including executive stakeholders, to align AI adoption with measurable organizational outcomes.
  • Coordinate partner-led implementations and internal delivery resources to accelerate deployment, activation, and adoption at scale.
  • Manage committed adoption and consumption milestones across assigned customer accounts.
  • Analyze usage and business-outcome signals to identify expansion, renewal, and additional solution opportunities.
  • Capture customer feedback, technical blockers, adoption patterns, and success stories to support ongoing product and delivery improvements.
  • Lead and motivate technical communities while strengthening collaboration among customers, partners, and internal stakeholders.
Desired Qualifications
  • Direct experience installing, deploying, and customizing enterprise AI assistants and agentic solutions.
  • Experience with comparable generative AI platforms, such as Gemini or similar enterprise AI technologies.
  • Proven success helping customers progress from initial AI experimentation to sustained, advanced adoption.
  • Experience presenting AI capabilities and delivering customer education, technical enablement, workshops, or end-user training.
  • Strong presentation and executive-engagement skills, particularly with senior business and technology leaders.
  • The ability to connect technical adoption metrics with business value, productivity gains, and return on investment.
  • Experience developing adoption and change-management strategies for enterprise technology implementations.
  • The ability to combine strong business and customer-adoption skills with hands-on technical expertise.
  • Experience working through implementation partners and coordinating cross-functional delivery resources.
  • The ability to lead technical communities and influence stakeholders without direct authority.
  • Comfort working with customers from different cultures in a fast-paced, digital-first environment.
  • Adaptability, intellectual curiosity, and enthusiasm for continuously learning emerging AI technologies.
Blueprint Technologies

Blueprint Technologies

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Blueprint Technologies is a technology solutions firm that helps organizations accelerate digital transformation by designing and launching digital strategies, including new products, services, and business models that modernize operations and emphasize exceptional customer experiences. Its engineers and scientists identify opportunities to bring automation and intelligence to information workflows, and they deploy infrastructure that increases agility and reliability to support confident decision-making. The company builds state-of-the-art software solutions and proofs of concept that deliver immediate, tangible value for clients across multiple industries. Blueprint distinguishes itself through deep client focus, a track record of growth and delivery excellence, and a distributed team model with offices in Bellevue, WA and delivery hubs in Dallas, TX and Charlotte, NC. The firm’s goal is to help clients architect their digital futures and realize faster, more reliable outcomes.

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Bellevue, Washington

Founded

2005

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Simplify Jobs

Simplify's Take

What believers are saying

  • Blueprint launched Executive Insights Engine on July 29, 2026, adding a visible product layer.
  • Partnerships with Superblocks on February 3, 2026 and Databricks in 2026 widen distribution.
  • June 2026 workforce data shows 557 employees and active hiring, signaling demand and growth.

What critics are saying

  • Blueprint's services depend on Databricks partner economics, which Databricks can rewrite anytime.
  • A 0.5% 2026 headcount decline and 104 openings signal restrained expansion.
  • If Databricks internalizes optimization tools, Blueprint becomes a low-margin implementation shop.

What makes Blueprint Technologies unique

  • Blueprint's Databricks Gold Consulting Partner status and Brickbuilder role deepen platform credibility in 2026.
  • Its Lakehouse Optimizer and Executive Insights Engine target cloud cost governance, not generic SI work.
  • The February 3, 2026 Superblocks partnership extends Blueprint from data modernization into internal apps.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

401(k) Retirement Plan

Flexible Spending Account

Company News

BPCS
Feb 26th, 2026
How 3 telcos solved data challenges with Databricks for operational success

How 3 telcos solved data challenges with Databricks for operational success. By Ryan Neal Telecommunications providers face massive data volumes, fragmented legacy systems, brittle pipelines, and strict governance requirements that make modernization and AI adoption difficult. Disconnected warehouses, Hadoop clusters, OSS and BSS systems, and siloed cloud environments limit visibility, increase cost, and slow innovation. At the same time, telcos must improve customer retention, optimize network performance, and reduce total cost of ownership while scaling AI initiatives. Databricks enables telcos to unify structured and unstructured data on a governed lakehouse platform, eliminating silos and creating a shared foundation for analytics and AI. With Unity Catalog, Serverless compute, Agent Bricks, and Lakebase, telcos can scale AI from isolated models to real time operational intelligence embedded directly into customer, network, and planning workflows. In partnership with Databricks, Blueprint helped telcos modernize legacy estates, implement data best practices, and operationalize AI across the enterprise. Modern data estate transformation. The problem. A global telecommunications provider was struggling with fragmented line of business applications built on legacy platforms. Data access patterns were inconsistent, governance was decentralized, performance was degrading, and infrastructure costs were rising. The CDO needed to modernize the estate while strengthening collaboration with application owners and improving measurable performance outcomes. The solution. Blueprint partnered with the CDO organization to transition critical workloads onto Unity Catalog and Serverless on Databricks. Blueprint Technologies, LLC. rearchitected applications to centralize processing, eliminated redundant compute layers, standardized governance, and implemented scalable execution patterns. The outcome. * 60 percent increase in application performance * Centralized governance and lineage across domains * Reduced infrastructure sprawl through architectural consolidation * Lower total cost of ownership through Serverless and simplified operations * Stronger partnership between the CDO organization and business application teams AI factory and intelligent retention. A regional telecom provider faced rising churn and inconsistent retention outcomes. Churn models were static, refreshed infrequently, and disconnected from frontline workflows. Customer support teams lacked timely visibility into at risk accounts and had no embedded guidance on next best offers. Blueprint implemented an AI Factory on Databricks to unify customer, billing, usage, and service quality data and standardize feature engineering and model lifecycle management. Blueprint Technologies, LLC. embedded real time churn intelligence and next best offer logic directly into support workflows, enabling explainable AI driven recommendations during live interactions. * More accurate and timely churn prediction * Real time next best offer recommendations embedded into support systems * Reduced blanket incentives through improved targeting * Measurable churn reduction and improved retention ROI Accelerated migration and operational AI. A national telecommunications provider was operating on Oracle and Informatica, facing escalating licensing costs, rigid architectures, and limited scalability for AI initiatives. Legacy pipelines were complex and tightly coupled, making modernization high risk and expensive. Using its Brickbuilder approved Accelerated Data Migration solution, Blueprint automated the conversion of complex workflows to Databricks and Unity Catalog, ensuring validated parity and centralized governance. Blueprint Technologies, LLC. then extended the architecture with Lakebase for low latency operational data access and Agent Bricks to enable AI driven contextual reasoning embedded into frontline systems. * Consolidation of legacy platforms onto a unified Databricks architecture * Improved pipeline and application performance * Reduced total cost of ownership through architectural simplification * Real time serving of churn scores, next best actions, and operational insights * AI driven contextual recommendations embedded into CRM, network, and operational systems Realizing the future of telecom data. By standardizing on Databricks and partnering with Blueprint, telecommunications providers can modernize their data estates, reduce cost and complexity, and embed AI directly into operational workflows. The result is a unified, governed, high performance platform that improves retention, reliability, and efficiency across the telecom value chain while enabling a sustainable AI driven operating model. If your organization is ready to move beyond isolated data models and start building a production-ready AI factory, Blueprint can help. Contact its team today to schedule a data estate assessment and learn how Blueprint Technologies, LLC. can accelerate your migration to Databricks. Databricks Center of Excellence Your one-stop Databricks partner. Talk to one of its Databricks experts. Share with your network. You may also enjoy. How Blueprint Informatica Migration Workbench uses Lakebase to manage workflow prioritization within the Databricks platform Unlock confident consumption with the Lakehouse Optimizer an AI-powered Augmented FinOps tool that unifies Databricks costs, forecasts spend, and delivers actionable optimization recommendations to improve performance and reduce waste.

Strategic Innovation Group
Sep 17th, 2024
SIG Acquires Excelicon for IT Services

SIG has acquired Blueprint Consulting Services, LLC, doing business as Excelicon, an IT services and consulting firm based in Washington, DC. Excelicon, with over 13 years of experience, enhances SIG's capabilities in enterprise architecture, cyber policy, agile DevSecOps, data analytics, and IT modernization. Tushar Garg, founder of Excelicon, joins SIG as General Manager. This acquisition follows SIG's previous purchases of 3e Services in 2021 and eSolytics in 2023, further strengthening SIG's data transformation capabilities.

BPCS
Oct 3rd, 2023
Blueprint Selected as Brickbuilder Accelerator Launch Partner

Today, Blueprint is excited to announce the launch of its new Databricks Brickbuilder Accelerator, the 2-Week Greenfield Lakehouse Quickstart, which empowers new Databricks customers to harness the full potential of the Databricks Lakehouse Platform in under 14 days.