AI Practice Lead, Microsoft Technologies

Techstra Solutions•Pittsburgh, PA

About The Position

Techstra Solutions is seeking an experienced AI Practice Lead to build, lead, and scale its Microsoft AI and Intelligent Automation practice. The role drives strategy, solution development, client engagement, delivery excellence, and team growth across Microsoft’s AI ecosystem, including Copilot Studio, Power Platform, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI Service, Power Automate, Power Apps, and related Azure services. The position combines executive-level consulting skills with deep technical expertise in Microsoft AI and low-code platforms, partnering with business leaders, technology stakeholders, and delivery teams to identify opportunities, develop AI-powered solutions, establish best practices, and create a repeatable services portfolio that produces measurable business outcomes. The AI Practice Lead defines the practice vision, strategy, and roadmap; creates service offerings, accelerators, methodologies, and go-to-market strategies; and establishes governance, delivery standards, architecture frameworks, and AI adoption practices. The leader advises executives, facilitates discovery and strategy engagements, translates business requirements into technical architectures, and presents recommendations to client leadership. The role architects enterprise solutions across Microsoft AI, automation, data, and business application technologies; oversees implementations from discovery through deployment; leads multidisciplinary delivery teams; and ensures projects meet client objectives, timelines, and budgets. It also supports sales and business development, builds relationships with Microsoft and partner organizations, recruits and develops team members, and promotes innovation and continuous learning. Techstra Solutions is a certified woman-owned management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. The role is located in Pittsburgh, Pennsylvania.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
  • At least 8 years of experience in enterprise technology consulting, solution architecture, digital transformation, or intelligent automation.
  • At least 3 years of experience leading AI, automation, or emerging technology initiatives.
  • Deep expertise within the Microsoft ecosystem.
  • Hands-on experience with Copilot Studio, Power Apps, Power Automate, Azure AI Foundry, Azure OpenAI Service, Dataverse, Microsoft 365, and Azure Cloud Services.
  • Experience designing and deploying enterprise AI solutions.
  • Strong understanding of responsible AI, governance, security, compliance, and data privacy frameworks.
  • Experience leading client-facing workshops and executive stakeholder engagements.
  • Proven ability to build and scale consulting or technology practices.

Nice To Haves

  • Microsoft Certified: Power Platform Solution Architect Expert certification.
  • Azure Solutions Architect Expert certification.
  • Azure AI Engineer Associate certification.
  • Power Platform Developer Associate certification.
  • Microsoft Certified Trainer (MCT) certification.
  • Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, and enterprise search solutions.
  • Knowledge of Microsoft Fabric, Synapse, Purview, Dynamics 365, and enterprise data platforms.
  • Experience developing AI Centers of Excellence or governance programs.
  • Understanding of software development lifecycle (SDLC), DevOps, and CI/CD practices.

Responsibilities

  • Define and execute the vision, strategy, and roadmap for the Microsoft AI practice.
  • Build AI, automation, and intelligent business application service offerings, accelerators, methodologies, and go-to-market strategies.
  • Establish governance, delivery standards, architecture frameworks, and AI adoption best practices.
  • Monitor emerging Microsoft AI technologies and assess their applicability to client needs.
  • Develop practice KPIs, revenue targets, utilization metrics, and growth strategies.
  • Advise executive stakeholders on AI transformation initiatives.
  • Lead AI discovery workshops, strategy sessions, assessments, and roadmap engagements.
  • Identify opportunities for AI, automation, and low-code solutions to improve productivity, decision-making, and operational efficiency.
  • Translate business requirements into scalable technical architectures and implementation plans.
  • Present solution recommendations and executive briefings to client leadership teams.
  • Design enterprise-grade solutions using Microsoft AI, Power Platform, Azure, data, and business application technologies.
  • Define AI governance, security, compliance, and responsible AI frameworks.
  • Architect integrations with ERP, CRM, HRIS, and line-of-business applications.
  • Oversee AI solution implementations from discovery through deployment.
  • Lead multidisciplinary teams of architects, developers, consultants, and data specialists.
  • Ensure projects are delivered on time, within budget, and in alignment with client objectives.
  • Establish reusable assets, templates, and implementation accelerators.
  • Drive adoption, change management, training, and business value realization.
  • Support sales through solution design, proposal development, and executive presentations.
  • Participate in RFP/RFI responses, assessments, and proof-of-concept engagements.
  • Identify new revenue opportunities within existing client accounts.
  • Develop strategic relationships with Microsoft sellers, account teams, and partner organizations.
  • Represent the organization at conferences, industry events, and client workshops.
  • Recruit, mentor, and develop AI consultants, architects, and developers.
  • Create career development paths and technical training programs.
  • Foster a culture of innovation, collaboration, and continuous learning.
  • Promote adoption of emerging AI technologies and best practices across the organization.
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