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Remote, Oregon, United States
Remote only
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Role Description
Revenue Ownership & Pipeline Development
Own and achieve an annual gross profit target for AI-led professional services engagements
Partner with SHI Account Executives and Microsoft co-sell teams to identify, qualify, and advance AI and Copilot opportunities across the existing customer base
Build and manage a qualified pipeline across multiple engagement types: pilot programs, platform foundations, advanced AI acceleration, adoption recovery, and targeted point solutions
Develop account-level AI readiness assessments and multi-phase engagement roadmaps that create long-term revenue expansion
Contribute to quarterly pipeline reviews, forecasting, and win/loss analysis
AI Agent Development & Market-Making
Serve as SHI’s subject matter expert on agentic AI, Copilot Studio agent development, Azure AI Foundry, and multi-agent orchestration patterns
Develop and evolve SHI’s service offerings for AI agent design, development, and deployment—from single-purpose task agents through complex multi-agent environments
Build reusable reference architectures, demo environments, and proof-of-concept templates that demonstrate real-world agent scenarios to prospective clients
Track Microsoft’s agent platform roadmap (Copilot Studio, Azure AI Agent Service, Semantic Kernel, AutoGen) and translate emerging capabilities into client-ready service offerings
Advise clients on agent governance, safety guardrails, and responsible AI practices for autonomous systems
Technical Presales & Solution Design
Lead discovery workshops and technical assessment sessions to understand client current state, pain points, and strategic AI objectives
Architect AI and automation solutions using Copilot for M365, Copilot Studio, Azure AI Foundry, and Power Platform, ensuring designs account for the data, governance, and security foundations required for production-grade deployment
Collaborate closely with SHI’s Fabric/Power BI, Purview, and Security specialist SAs to assemble integrated, multi-discipline solutions—ensuring the AI layer is designed to leverage the client’s data platform and governance investments
Design solutions using SHI’s modular, productized service catalog, assembling engagements from standardized delivery modules to provide clients with fixed-price predictability and rapid time-to-value
Translate technical designs into commercially viable proposals with clear scope boundaries, assumptions, and risk considerations
Client Engagement & Executive Presentation
Serve as the trusted technical advisor to client stakeholders from IT directors through C-suite executives on AI strategy and Copilot adoption
Deliver compelling executive presentations that articulate why successful AI adoption requires an integrated approach—connecting unified data, robust governance, and organizational readiness as interdependent foundations
Lead competitive displacement conversations, positioning SHI’s integrated, end-to-end approach against competitors who offer only data engineering, only governance, or only chatbot development in isolation
Build and maintain demo environments showcasing real-world agent scenarios, including multi-agent workflows, Copilot extensibility, and Power Platform automation
Proposal Development & Deal Structuring
Author technical content for proposals and SOWs including solution overviews, design rationale, delivery plans, and work breakdown structures
Collaborate with delivery leadership and specialist SAs to ensure proposals reflect realistic scope, timelines, and resource requirements across all disciplines involved
Structure engagements using SHI’s fixed-price delivery model with appropriate phase gates and risk mitigation
Participate in internal proposal reviews and quality assurance processes before client submission
Microsoft Ecosystem & Thought Leadership
Maintain deep, current expertise in Copilot for M365, Copilot Studio, Azure AI Foundry, Power Platform, and the broader Microsoft AI ecosystem
Maintain strong working knowledge of Microsoft Fabric, Power BI, Microsoft Purview, and Microsoft security capabilities—sufficient to collaborate effectively with specialist SAs and contribute to integrated solution designs
Represent SHI at Microsoft events, industry conferences, and client-facing workshops, with particular emphasis on agent development and AI thought leadership
Contribute to SHI’s internal knowledge base, proposal templates, and solution accelerators
Pursue and maintain relevant Microsoft certifications and community recognition (MVP status encouraged)
Behaviors and Competencies
Problem-Solving: Can proactively identify and take ownership of complex problem-solving initiatives, initiate preventative measures, collaborate with others to find solutions, and drive successful outcomes.
Communication: Can effectively communicate complex ideas and information to diverse audiences, facilitate effective communication between others, and mentor others in effective communication.
Adaptability: Can lead others through change, help teams adapt to new directions, and create a culture open to change.
Leadership: Can take ownership of complex team initiatives, collaborate with others in decision-making processes, and drive team performance.
Teamwork: Can build and lead multiple teams, fostering a cooperative environment and ensuring effective communication between team members.
Self-Motivation: Can take ownership of complex personal or professional initiatives, collaborate with others when necessary, and drive results through self-motivation.
Skill Level Requirements
Proficiency in overseeing and directing projects to completion, ensuring goals are met, resources are utilized efficiently, and stakeholders are satisfied - Expert
Ability to systematically identify, document, and manage the technical needs and specifications of a project by engaging with stakeholders and analyzing business objectives to ensure successful project outcomes - Expert
Ability to define, design, build, and maintain robust systems and solutions by leveraging systems and infrastructure effectively - Expert
Ability to write, debug, and maintain code in various scripting and programming languages to automate tasks and develop software solutions - Expert
Ability to understand and manage various infrastructure components (firewalls, load balancers, hypervisors, storage, monitoring, security) and use orchestration tools to develop comprehensive technical solutions - Expert
Ability to develop detailed Statements of Work (SOWs) and drive revenue growth through professional services engagements - Expert
Extensive experience working on large scale IT projects related to design, deployment and configuration - Expert
Other Requirements
8+ years of experience in solution architecture, presales engineering, or technical consulting within the Microsoft ecosystem
3+ years of hands-on experience with Microsoft AI and automation technologies: Copilot Studio, Azure AI Foundry (or Azure OpenAI Service), Power Platform, or Copilot for M365 extensibility
Demonstrated experience designing and building AI agents, conversational AI solutions, or intelligent automation workflows in a production or client-facing context
Demonstrated track record of carrying and achieving a personal revenue or bookings target ($3M+ annually preferred)
Working familiarity with Microsoft Fabric, Power BI, and Microsoft Purview—sufficient to participate in integrated solution design alongside specialist architects
Strong executive communication skills with proven ability to present to C-level audiences and lead strategic technology conversations
Experience developing proposals, SOWs, and commercial structures for professional services engagements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience)
Preferred Requirements
Hands-on experience with multi-agent orchestration frameworks (Semantic Kernel, AutoGen, LangGraph, or similar)
Microsoft certifications: Power Platform Solution Architect (PL-600), Azure AI Engineer (AI-102), Fabric Analytics Engineer (DP-600), or Azure Data Engineer (DP-203)
Microsoft MVP designation in any relevant category
Experience with RAG architectures, prompt engineering, grounding techniques, and responsible AI/safety considerations for autonomous agents
Prior employment at a Microsoft partner, VAR, or consulting firm with a productized services model
Experience with competitive displacement against firms such as Slalom, Ahead, WWT, or Big 4 consultancies
Understanding of data platform architecture patterns including lakehouse/medallion architecture and modern data warehousing
Background in one or more industry verticals: financial services, healthcare, retail, or gaming/hospitality
The estimated annual pay range for this position is $175,000 - $235,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
