Solutions Architect AI REQ_

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Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare.

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Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare.

Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavours. This role is the primary technical authority within a client engagement, hands-on across the AI-driven delivery lifecycle (AI-DLC). The Architect owns high-level design choices, dictates technical standards, and stays directly engaged in the codebase - designing and building the architecture that embeds AI agents across the SDLC, from requirements and code generation through testing, documentation, and release.

The ideal candidate is as comfortable pairing with an AI agent on a pull request as they are presenting an architecture roadmap to a client executive.

AI-Driven, Agentic Delivery

• Design and build the architecture that embeds AI agents across the SDLC - requirements gathering, code generation, testing, documentation, and release management.
• Set technical standards for where AI-assisted approaches are trustworthy versus where human-in-the-loop oversight is required to protect quality, compliance, and client trust.
• Stay hands-on in the codebase - reviewing, building, and validating AI-driven approaches against real engineering constraints - and feed findings back into 3
  
  Pillar's delivery practices.
• Assess and plan the insertion of new AI/agentic tooling into existing technology stacks and client environments.

• Partner with the Solutioning team on pre-SOW technical solutioning - shaping architecture, approach, and feasibility ahead of contract execution.
• Translate client requirements into a credible technical narrative and delivery approach, bringing a point of view on where AI-driven delivery accelerates outcomes and where it introduces risk.
• Contribute technical input to proposals, estimates, and SOWs, including effort, risk, and architecture tradeoffs.

• Act as the emissary of the architecture - technical owner from design to resolution of tailored solutions on cloud platforms, based on client requirements and constraints.
• Partner with stakeholders to determine functional and non-functional requirements and business goals for a set of scenarios.
• Manage risk identification and mitigation strategies associated with the architecture.
• Influence and communicate long-term product vision, technical vision, development strategy, and roadmap.
• Contribute to code reviews, documentation, and architectural artifacts.
• Design architectures that align with the Dev Ops culture and QA Automation practices.

• Active leader in the Architecture Practice community, mentoring engineers through Communities of Practice (CoPs) or on project teams, with a focus on AI-driven delivery skills.
• Develop and lead the execution of a technical vision within one or more business or technical domains, with a focus on business value.

Note:

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Pillar operates proprietary delivery frameworks - including our Helix AI human-agent delivery model and our Lightwave Client Engagement SDLC. Candidates will not be expected to know these on day one, but should bring the foundational disciplines and AI-driven, agentic delivery experience that enable rapid adoption.

• A Bachelor's degree or higher in Computer Science or a related field.
• 5+ years of experience/expertise working as a Software Architect and/or Solutions Architect, with hands-on proficiency in relevant cloud and AI/agentic delivery tooling.
• Demonstrated experience embedding AI agents into the SDLC - not just using AI tools, but architecting the integration and the human oversight model that keeps them productive and accountable.
• Experience contributing to pre-sales or pre-SOW solutioning - shaping technical approach, scoping, and effort estimation before contracts are signed.
• High level of English proficiency required to interact with a…