AI Solutions Architect
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 15, 2026.
- Lead customer onboarding, technical enablement sessions, workshops, and training programs for AI tool adoption.
Act as the primary technical contact for enterprise customers throughout their AI adoption journey.
Understand customer challenges and translate business requirements into practical AI workflows and best practices.
Provide technical guidance and real-time troubleshooting support during implementation and adoption phases.
Support pilot programs, custom configurations, integrations, and proof-of-concept initiatives.
Collaborate with product and engineering teams by providing customer feedback and identifying improvement opportunities.
Develop documentation, best practices, and knowledge-sharing materials to help customers become self-sufficient.
Advise customers on AI-assisted development, software engineering workflows, and enterprise adoption strategies.
Work closely with technical and business stakeholders to drive successful outcomes and maximize customer value.
Support system design discussions and technical solutioning during later phases of customer engagements.
Stay current with emerging AI technologies, developer tools, and enterprise AI adoption trends.
Requirements
15+ years of experience in software engineering, solution architecture,
technical consulting, customer engineering, or AI enablement roles.
Architect-level expertise with the ability to solve complex technical and business challenges.
Strong experience working with large-scale enterprise systems and distributed architectures.
Experience working with multinational organizations and enterprise customers.
Strong understanding of AI tools, AI-assisted development, and modern software engineering practices.
Proficiency in at least one programming language such as Python, Java, or .NET.
Experience working with APIs, integrations, and enterprise software platforms.
Ability to explain complex technical and AI concepts to both technical and non-technical stakeholders.
Excellent communication, presentation, and stakeholder management skills.
Willingness to travel as required.
Nice to Have
Experience with Large Language Models (LLMs) and prompt engineering.
Exposure to Generative AI platforms and AI development frameworks.
Experience with enterprise SaaS products.
Background in solution engineering, consulting, developer advocacy, or customer success.
Experience delivering technical workshops, training programs, or developer enablement initiatives.