Global Head of Solutions Architecture, General Assembly

LHH (Global)
•$115,000 - $155,000•Remote

About The Position

General Assembly is seeking an experienced technical leader to lead and scale its global Solutions Architecture function. The role builds and develops a high-performing team of Solutions Architects who translate complex enterprise client needs into innovative, technically sound, scalable workforce transformation solutions. The leader combines deep technical expertise with people leadership, commercial acumen, and practical knowledge of modern enterprise technologies, particularly artificial intelligence, cloud infrastructure, software development, and technical learning environments. The role shapes how General Assembly designs and delivers complex technical upskilling and reskilling programs. It ensures solutions are technically feasible, aligned with client technology ecosystems, and supported by the infrastructure, tools, and environments needed for successful delivery. Working closely with Sales, Product, Learning Experience, and Delivery teams, the Global Head establishes technical standards, architecture practices, and team capabilities to support the evolving enterprise portfolio. The role reports to the VP, Product and is US-based and remote.

Requirements

  • 10 or more years of experience in solutions architecture, technical consulting, software engineering, cloud architecture, enterprise technology, or related technical leadership roles.
  • 5 or more years of people-management experience, including leading and developing technical teams.
  • Demonstrated experience leading Solutions Architects, technical consultants, or comparable technical solution-design teams.
  • Strong technical fluency across modern enterprise technology stacks, including cloud platforms, development tools, APIs, software environments, and integration architectures.
  • Experience designing, implementing, or supporting cloud-based technical environments, including virtual machines, containers, sandboxes, or development platforms.
  • Strong understanding of generative AI, large language models, enterprise AI platforms, and emerging AI development patterns.
  • Ability to assess technical feasibility, identify infrastructure dependencies, and evaluate architectural trade-offs for complex client engagements.
  • Experience partnering with enterprise clients and communicating complex technical concepts to technical and nontechnical stakeholders.
  • Strong people leadership, stakeholder management, and cross-functional collaboration skills.

Nice To Haves

  • Experience in enterprise workforce transformation, technical training, EdTech, or learning technology.
  • Experience designing technical solutions for hands-on learning, applied projects, technical assessments, or simulated enterprise environments.
  • Familiarity with AI development tools and enterprise platforms such as Microsoft Copilot, Azure AI, Salesforce Agentforce, and GitHub Copilot.
  • Experience with technical learning environment providers, lab infrastructure, or sandbox platforms such as Skillable.
  • Experience supporting complex enterprise sales cycles, including technical discovery, solution scoping, RFPs, and statements of work.
  • Experience leading distributed or globally operating technical teams.

Responsibilities

  • Lead and develop a global Solutions Architecture team responsible for designing enterprise workforce transformation learning solutions.
  • Establish standards, frameworks, and best practices for solution design, documentation, estimation, and technical feasibility assessments.
  • Provide architectural oversight for complex, high-value client engagements and act as the team’s senior technical authority.
  • Partner with Product and Learning Experience leaders to shape solutions in AI, data, cloud, and software engineering.
  • Improve the efficiency, consistency, and quality of solution design through standardization and reusable architectures.
  • Define the environments, infrastructure, platforms, and tools needed for hands-on technical learning.
  • Assess enterprise security, authentication, permissions, data access, licensing, and infrastructure provisioning requirements.
  • Evaluate technical environment providers and partners, and guide trade-offs involving complexity, scalability, cost, and learner experience.
  • Advise on the tooling, infrastructure, licensing, security, and data requirements for hands-on AI learning experiences.
  • Evaluate emerging technologies and recommend tools, platforms, and approaches that strengthen General Assembly’s technical capabilities.
  • Set team expectations, performance standards, career pathways, and technical competency frameworks; coach and develop team members.
  • Manage resource allocation, workloads, and priorities across client opportunities and strategic initiatives.
  • Identify team skill gaps and support hiring, training, development, mentorship, and knowledge sharing.
  • Partner with Sales and Client Success to understand client objectives, technology environments, workforce capability gaps, and technical constraints.
  • Lead technical discovery and solution design for complex enterprise opportunities.
  • Guide solution architectures, technical proposals, statements of work, implementation approaches, demonstrations, effort estimates, and complex RFP responses.
  • Advise enterprise clients and communicate technical risks, dependencies, assumptions, and delivery requirements before contractual commitments.
  • Coordinate with Learning Experience, Product, Technology, and Delivery teams to support a seamless transition from solution design to development and implementation.
  • Establish technical handoffs, documentation standards, and feasibility checkpoints; validate environments, tools, and dependencies before development or launch.
  • Work with internal teams and external partners to resolve technical blockers and improve delivery readiness.
  • Apply engagement feedback and lessons learned to improve architecture standards and solution quality.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Term life and AD&D insurance
  • Short-term and long-term disability coverage
  • Additional voluntary benefits
  • Commuter benefits
  • Wellness plans
  • 401(k) plan or non-qualified deferred compensation plan
  • Personal Time Off (PTO) on an accrual basis
  • Paid holidays
  • Up to 6 weeks of paid parental leave
  • Annual bonus opportunity
  • Growth opportunities
  • Learning-focused work environment
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service