Senior Solutions Architect (AI)

Location: Remote within the United States; the job information lists Tacoma, Washington, United States.

Base salary: USD $139,700–$212,850 plus bonus.

Company

hirify.global provides cloud-first networking and security solutions, including platforms that protect critical infrastructure and enterprise customers.

What you will do

• Lead project, capability, platform, and solution architecture across front-office, middle-office, and back-office functions from planning through delivery.
• Build capability-centric technology landscapes, current-state and target-state architecture views, roadmaps, and reusable architecture patterns.
• Define architectures spanning enterprise applications, AI, data, integration, cloud, infrastructure, identity, and security.
• Support governance through design reviews, conformance checks, decision management, risk identification, and exception handling.
• Partner with business, product, engineering, platform, security, data, and delivery teams to align outcomes and communicate tradeoffs, dependencies, and risks.
• Drive reuse, simplification, modularity, automation, and zero-touch experiences across capabilities, applications, and technologies.

Requirements

• 10 or more years of experience in solutions architecture, sales engineering, consulting, network engineering, cybersecurity, cloud architecture, or a related technical field.
• Strong technical depth across the Enterprise IT platform stack, with experience evaluating options, defining architecture direction, guiding delivery teams, and making pragmatic tradeoffs without serving as the primary software developer.
• Experience with enterprise platform architecture across ServiceNow, Salesforce, Oracle Finance and HR, Microsoft 365, Glean or AI clients, and other SaaS business platforms, including lifecycle, rationalization, integration, governance, and target-state planning.
• Strong knowledge of APIs, iPaaS or enterprise service bus patterns, data movement, data quality, metadata, and governed data products.
• Architecture experience with AWS, Microsoft Azure, Databricks, and Amazon Redshift, including cloud foundations, storage, resiliency, scalability, and cost considerations.
• Working knowledge of single sign-on, multifactor authentication, role-, policy-, and attribute-based access control, entitlement-aware access, data classification, privacy, auditability, security architecture, and compliance.
• Experience defining operational readiness and non-functional requirements for logging, metrics, application performance monitoring, availability, latency, usage, cost, risk, and service health.
• Proficiency in current-state and target-state architecture, capability mapping, reference architectures, reusable patterns, technology roadmaps, vendor and platform evaluation, architecture review boards, design conformance, and exception management.
• Experience defining or implementing enterprise AI capabilities, including foundation models, model routing or gateways, prompt management, evaluation, safety guardrails, human-in-the-loop controls, and usage or cost management.
• Experience with enterprise search, knowledge retrieval, retrieval-augmented generation, permission-aware context, agent workflows, tool routing, and Model Context Protocol or comparable governed tool-integration patterns.
• Ability to connect AI experiences to Glean, Microsoft 365 and Teams, Salesforce, Oracle, and ServiceNow while preserving identity, authorization, data boundaries, and auditability.
• Track record moving AI concepts from discovery or proof of concept toward production-ready architecture with clear decisions, non-functional requirements, measurable outcomes, and adoption roadmaps.

Culture & Benefits

• Inclusive culture emphasizing curiosity, creativity, continuous learning, and participation through employee resource groups.
• Comprehensive health coverage, generous paid time off, and flexible work options.
• Learning opportunities, career-mobility programs, and leadership workshops.
• Sixteen paid volunteer hours annually, charitable giving with company match, and a collaboration-focused “No Jerks” policy.
• Modern offices, EV charging, snacks, hackathons, game nights, and culture celebrations.
• Pay transparency with compensation based on role location, internal equity, experience, skills, education, and certifications.

Hiring process

• During the first 90 days, become familiar with the culture, connect with mentors, map relevant systems, meet stakeholders, and establish short- and long-term goals.
• Within six months, publish architecture views, establish a target-state roadmap, refine governance routines, influence major initiatives, and introduce AI-powered architecture tools.
• Within one year, demonstrate measurable architecture outcomes, mature standards and patterns, embed AI and analytics into a value stream, and advise senior business and technology leaders.