Job Description
Job Title: AI Solutions Architect
Location: Chandler AZ 85224
Schedule: Hybrid (3 days on-site)
Position: Contract
Duration: 12 months
Work Authorization: W2 (No C2C)
Job Description:
This role is responsible for defining architectural vision and architecture for large, complex AI, automation, and orchestration capabilities that support the Network AI and Agentic Transformation across Network Services. Key responsibilities include describing solution intent and operating context, evaluating system impacts, determining primary systems, subsystems, and interfaces, and defining the architectural runway needed to support new use-cases, reusable capabilities, and expansion into additional opportunities. This role is intentionally designed to operate flexibly across the Research Strategy, Engineering Delivery, and Deterministic Automation pillars, allowing the individual to contribute where demand is highest based on organizational need and candidate strengths. Compared with the Architect role, this individual carries broader accountability for shaping complex multi-domain architecture, guiding architecture direction across a larger body of work, contributing to standards and roadmap evolution, and helping ensure solutions are positioned for scalable, governed, and production-ready adoption. The individual in this role works across business, engineering, architecture, platform, and operations stakeholders to shape patterns for AI-enabled workflows, agentic capabilities, integration architecture, and deterministic execution models that align to enterprise strategy, governance, and delivery constraints.
Key Responsibilities:• Define architectural vision and architecture for large and complex capabilities supporting the Network AI and Agentic Transformation across strategy, engineering, and deterministic automation needs.• Work across business and technology stakeholders to shape architecture for AI-enabled use-cases, orchestration patterns, integration capabilities, and deterministic automation solutions across multiple domains.• Evaluate system impacts, interfaces, dependencies, and architectural implications of new use-cases, platform capabilities, and delivery approaches, and guide solution decisions accordingly.• Lead rapid shaping of high-level architecture for complex solutions, with detail added iteratively as business requirements, technical options, and implementation constraints emerge.• Ensure architecture is flexible, modular, and designed to adapt to changing use-case priorities, new AI capabilities, and shifting transformation demand across pillars.• Contribute to and evolve reusable architectural patterns, templates, standards, and design guidance that improve consistency across AI delivery, orchestration, and deterministic automation implementations.• Partner with engineering and delivery teams to clarify architecture, support implementation planning, and resolve architectural impediments throughout execution.• Contribute to experimentation and strategic evaluation of emerging capabilities by assessing architectural fit, enterprise alignment, reuse potential, and practical adoption pathways.• Define and communicate non-functional requirements and architectural guardrails to ensure solutions are secure, resilient, scalable, supportable, and compliant with enterprise standards.• Support and lead design reviews and architectural assessments to ensure proposed solutions are fit for purpose, aligned to approved standards, and positioned for production-ready delivery.
Required Skill• Strong experience defining architecture and architectural vision for large, complex technology capabilities spanning application, data, integration, automation, and workflow domains.• Ability to operate flexibly across strategy, architecture, engineering, and automation domains, supporting whichever pillar has the greatest need at a given time.• Experience shaping architecture for AI-enabled use-cases, workflow orchestration, tool integration, and deterministic automation execution patterns across multiple teams or domains.• Strong understanding of how to evaluate system impacts, interfaces, dependencies, non-functional requirements, and implementation tradeoffs for complex enterprise solutions.• Ability to translate evolving business and transformation objectives into architectural direction, implementation pathways, reusable patterns, and future-state design considerations.• Experience facilitating solution-driven discussions and helping stakeholders move from high-level concepts to scalable, modular, and governed architectural choices.• Strong knowledge of enterprise architecture standards, technology governance, security expectations, and controlled delivery requirements in a regulated environment.• Familiarity with AI and agentic solution concepts, including context grounding, tool interaction patterns, model-enabled workflows, orchestration approaches, and guardrail considerations.• Strong understanding of deterministic automation concepts, including workflow sequencing, approval points, rollback considerations, exception handling, and separation of decision and execution layers.• Experience working across architecture, engineering, product, delivery, and operations stakeholders to establish alignment on design intent, delivery feasibility, and implementation readiness.• Ability to define non-functional requirements covering security, performance, resiliency, scalability, maintainability, supportability, and observability for complex solutions.• Experience contributing to reusable reference patterns, architectural standards, templates, roadmaps, and design guidance that improve consistency and speed across teams and domains.• Strong analytical thinking and architectural judgment, including the ability to compare solution options, evaluate longer-term implications, and guide tradeoff decisions at scale.• Experience supporting more junior architects or engineers through architectural guidance, design reviews, and practical mentorship.• Strong written and verbal communication skills with the ability to explain architecture, risks, constraints, and implementation implications clearly to technical and non-technical audiences, including senior stakeholders.• Experience working in a fast-paced and complex global environment with evolving priorities, interdependencies, and incremental delivery expectations.