AI Architect – Seattle. WA (Onsite) – Fulltime

Job Description

**Job Title: AI Architect**

**Location: Seattle. WA (Onsite)**

**Duration: Fulltime**

**(“US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)**

Job Description:

Drive the AI strategy, design, and deployment of artificial intelligence solutions across our organization. Expertise in artificial intelligence, machine learning, data engineering, and cloud infrastructure. This role will spearhead AI initiatives, establish robust AI architecture, and work collaboratively with cross-functional teams to deliver scalable, compliant, and high-performance AI systems that support and advance business objectives.

– Define and drive the organization’s AI strategy, identifying key use cases, and aligning AI initiatives with overarching business goals.
– Define scalable AI architecture for machine learning (ML), natural language processing (NLP), Large Language Models (LLM), and other AI-driven solutions.
– Design the end-to-end architecture of AI systems, including data ingestion, storage, processing, model development, deployment, and integration with existing IT systems and networks.
– Evaluate and select appropriate AI/ML models, platforms, tools, and infrastructure based on performance, cost, scalability, security, and compliance requirements.
– Architect AI solutions that are highly scalable, performant, reliable, and cost-effective to meet current and future business needs.
– Drive effective and integrated use of AI agents across the organization by establishing standards, fostering agent maturity, and cultivating an agentic environment.
– Collaborate with data engineering teams to define data architectures that support AI initiatives, ensuring data quality, security, and governance.
– Design AI systems with security and compliance. considerations at the forefront, adhering to relevant industry standards and regulations.
– Ensure seamless integration of AI solutions with existing enterprise systems and data sources.
– Provide technical leadership and guidance to data scientists, AI engineers, and other team members involved in the development and deployment of AI solutions.
– Effectively communicate the AI vision, strategy, and architectural blueprints to technical and non-technical stakeholders, including executive leadership.
– Stay abreast of the latest advancements in AI, machine learning, and related technologies, evaluating their potential impact and recommending innovative solutions.
– Experience in managing AI projects from conception to deployment, with strong organizational and time-management skills.
– Define and enforce best practices, standards, and guidelines for AI development, deployment, and maintenance across the organization.
– Create comprehensive documentation for AI tools, processes, and systems to ensure transparency and reproducibility.