Principal Architect - AI

Issaquah, United States | Posted on 05/05/2026

Redtech is helping our client with a Direct Hire search for a Principal Architect - AI

Location: Issaquah (Seattle), WA - selected candidate must live within 50 miles of their selected work location. (Relocation assistance available for eligible new hires located over 50 miles from the hub and who move to within 50 miles of the hub.)
Relocation assistance available for eligible hires

Schedule: 100% onsite, 5 days/week. No official “on call” structure but expectations can be set during interviews. As with all leadership technical roles, work may require availability 7 days a week at times which can be discussed in detail during interviews.

Background Check & Drug Test: requires successful completion.

Eligibility: Authorized to work in the US, some types of sponsor ships are offered including H1B transfers.

Compensation:

• Target Pay Range: $185,000 - $250,000 per year DOE (top of the range only considered for exceptional experience)
• Role is eligible for bonus and RSU’s

Benefits offering: based on eligibility: CLEINT offers a comprehensive package of benefits including paid time off, health benefits — medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, commuter benefits, short‑term disability and long‑term disability insurance, AD&D insurance, life insurance, 401(k), stock purchase plan, financial wellness program, to eligible employees.

• 3+ years hands‑on AI experience implementing production‑scale AI solutions (the past hands‑on experience is to be able to advise business areas, will not be building code)
• Executive communication and stakeholder management skills
• 5+ years architecture background is a must
• 3+ years of machine‑learning experience is a must (the past hands‑on experience is to be able to advise business areas, will not be building code)

Our client is hiring a Principal AI Architect to drive enterprise‑scale AI transformation.

Responsibilities

• Shape the AI roadmap and architect solutions that deliver measurable business impact.
• Design and implement advanced AI systems, from agentic workflows to production‑grade ML platforms.
• Build and mentor high‑performing teams while staying technically engaged with complex implementations.
• Translate cutting‑edge AI capabilities into tangible outcomes that transform how we operate.
• Guide installations, testing, and service transitions while identifying and leveraging technological innovations.
• Engage with businesses to drive the adoption of cutting‑edge solutions and oversee incident, change, release, problem, performance, and availability management, ensuring operational excellence.

The Enterprise Architecture team is seeking an AI Architect to advance our AI and machine‑learning (ML) practice and guide enterprise‑wide transformation efforts.

Key responsibilities include:

• Shape the organization’s AI/ML strategy and roadmap
• Define AI/ML technical capabilities—including generative AI systems, data pipelines, model deployment strategies, MLOps frameworks, etc.
• Define AI reference architecture, standards, and best practices.
• Lead integration of AI/ML into business system transformation initiatives.
• Ensure AI‑driven solutions are consistent with organizational goals and technical standards.
• Champion ethical AI governance and regulatory compliance.
• Support continuous technology improvement and adaptable architecture.
• Develop and manage AI governance frameworks including model lifecycle management (MLOps), model monitoring, data governance, bias mitigation, explainability (XAI), and compliance.
• Lead initiatives around AI governance, MLOps pipeline optimization (monitoring/drift detection), and continuous improvement of intelligent solutions.
• Develop and promote reusable AI/ML architectural patterns (e.g., generative AI workflows, RAG architectures) that foster innovation while adhering to best practices.
• Collaborate with stakeholders to operationalize AI use cases (e.g., demand forecasting, NLP for customer service), embedding AI into end‑to‑end business process models.
• Lead reviews of AI‑driven…