Solutions Architect AI REQ_116
Role Overview
The AI Solutions Architect is the primary technical authority within a client engagement and works hands-on across the AI-driven delivery lifecycle.
The role designs architecture embedding AI agents across the SDLC and combines code-level work with client-executive architecture communication.
Key Skills for This Role
Full Job Posting
Role overview
The AI Solutions Architect is the primary technical authority within a client engagement and works hands-on across the AI-driven delivery lifecycle.
The role designs architecture embedding AI agents across the SDLC and combines code-level work with client-executive architecture communication.
AI-driven delivery
- Design and build AI-agent architecture across requirements gathering, code generation, testing, documentation, and release management.
- Set standards for AI-assisted approaches and human oversight to protect quality, compliance, and client trust.
- Review, build, and validate AI-driven approaches against engineering constraints, feeding findings into delivery practices.
- Plan integration of AI and agentic tools into existing client technology stacks and environments.
Solutioning and architecture ownership
- Partner on pre-SOW solutioning, technical approach, architecture, feasibility, proposals, estimates, and statements of work.
- Translate client requirements into credible technical narratives and delivery approaches, including AI-related opportunities and risks.
- Own tailored cloud-solution architecture from design through resolution and align it with client requirements and constraints.
- Define functional and nonfunctional requirements and business goals with stakeholders; identify and mitigate architecture risks.
- Influence product and technical vision, development strategy, and roadmaps; contribute to code reviews and architecture documentation.
- Design in alignment with DevOps culture and QA automation practices.
Leadership and mentorship
- Participate in the Architecture Practice community and mentor engineers on projects or through Communities of Practice, especially in AI-driven delivery.
- Develop and lead technical vision across one or more business or technical domains, focusing on business value.
Minimum qualifications
- Bachelor's degree or higher in Computer Science or a related field.
- 5+ years as a Software Architect and/or Solutions Architect, with hands-on proficiency in relevant cloud and AI/agentic delivery tooling.
- Demonstrated experience architecting AI agents into the SDLC and designing a human-oversight model.
- Pre-sales or pre-SOW solutioning experience, including technical approach, scoping, and effort estimation.
- High English proficiency and ability to communicate architecture to clients up to executive level.
- Strong SDLC knowledge, actionable metrics and KPIs familiarity, architectural design proficiency, and experience leading Agile software development.
- Experience with DevOps and CI/CD practices and tools; ability to manage multiple parallel projects.
Desired experience
- Desired: data analysis, modelling, architecture, ETL dataflows, and scalable distributed or cloud-native data stores.
- Desired: SaaS or highly scalable distributed cloud-application design, financial management and ROI calculation, or a Solutions Architect certification for AWS, Azure, or GCP.
Work environment
- The employer describes a flexible environment spanning office, home, or a blend, and says its approach is remote-first.
Delivery frameworks
3Pillar uses proprietary Helix AI human-agent delivery and Lightwave Client Engagement SDLC frameworks; prior knowledge is not expected.
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