Role: AI Enterprise Architect, Lead

Location: Mountlake Terrace, Seattle, WA (Hybrid), 3 days in the office and 2 days remote.

Duration: Long term contract

Overview

We are seeking an experienced AI Enterprise Architect, Lead to drive enterprise-wide AI enablement and lead a small, high-performing pod focused on deploying AI capabilities across the organization. This individual will serve as both a hands-on technical leader and strategic architect, with the executive-level presence required to engage senior stakeholders and influence enterprise direction.
You will lead a pod of three engineers, guiding the design, development, and integration of AI-driven applications and services into existing business and technical ecosystems.
This role is technical and AI-focused, with emphasis on AI concepts, Python, and machine learning, along with the ability to partner directly with leadership to drive adoption at scale.

Description

This role will require below knowledge and will have responsibilities respectively:

AI/ML Concepts:

Be ready to discuss core AI/ML concepts and projects you’ve worked on.
Be able to articulate how you applied these concepts in practical scenarios.

RAG (Retrieval-Augmented Generation) Concepts:

Review the basics of RAG and how it works in AI systems.
Understand its applications and be able to explain it simply.

Agentic AI Frameworks:

Familiarize yourself with agentic AI frameworks and their purpose.
Be ready to discuss any experience or theoretical understanding.

Platform-Building Knowledge:

Understand the process of designing and building AI platforms.
Be ready to explain your thought process in approaching platform-level problems.

Communication & Executive Presence:

Practice articulating your work clearly and concisely
Be prepared to explain decisions, trade-offs, and approaches in an executive-friendly manner
Demonstrate the ability to lead conversations with Directors/VPs, align cross-functional teams, and influence outcomes

The ideal candidate should have:

Strong technical skills (Python, Java)
Understanding of Azure AI Foundry / Azure AI ecosystem
Strong platform engineering experience
Understanding of AI frameworks and ecosystem
Executive-level presence and the ability to work confidently with senior leadership, enterprise stakeholders, and cross-functional partners

Key Responsibilities

Lead technical delivery for AI initiatives, overseeing a pod of three engineers to build and deploy AI-powered solutions
Design and implement AI architectures that integrate seamlessly with enterprise platforms, data sources, and security frameworks
Collaborate with business and technology teams to identify high-impact AI use cases and translate them into scalable, production-grade solutions
Partner with executive stakeholders to drive enterprise AI strategy, roadmap alignment, and prioritization of AI initiatives
Build and optimize MLOps and LLMOps pipelines, including model training, deployment, monitoring, and continuous improvement
Provide technical leadership and mentorship, fostering a culture of innovation, quality, and velocity
Partner with enterprise architecture and security teams to ensure all solutions meet compliance, governance, and data privacy standards
Contribute to AI strategy, tooling selection, and platform evolution to support enterprise-wide enablement
Serve as a senior technical advisor, capable of presenting architecture options, risk trade-offs, and solution direction to leadership audiences

Required Qualifications

7+ years of experience in software development with a strong focus on modern programming languages (e.g., Python, Java, TypeScript).
3+ years of experience in AI/ML solution architecture or AI engineering leadership.
Proven experience leading small engineering teams or pods.
Strong understanding of LLMs, GenAI, NLP, and integration with enterprise systems.
Experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and MLOps frameworks.
Familiarity with data privacy and security compliance in regulated industries.
Strong problem-solving skills and the ability to translate complex concepts into clear, actionable strategies.
Demonstrated executive/leadership-level presence, including experience presenting AI/architecture solutions to senior stakeholders (Director/VP/C-suite) and driving alignment across teams

Preferred Qualifications

Experience deploying AI solutions in healthcare or other highly regulated environments.
Hands-on experience integrating with LLM platforms (OpenAI, Azure OpenAI, Hugging Face, or equivalent).
Working knowledge of data pipelines, API development, and prompt engineering.
Demonstrated ability to balance strategic vision with hands-on execution.
Experience influencing enterprise AI roadmaps, technology decisions, or platform strategy in partnership with executive leadership

Why Join

Opportunity to lead transformative AI initiatives at a leading healthcare organization.
High visibility and impact — enabling enterprise-wide AI adoption.
Collaborative, forward-thinking team and culture.
Room to influence technology strategy and shape platform direction.
Chance to operate at an enterprise leadership level and shape how AI is adopted across the organization

About us:

Moodys NWC is a result-driven management consulting firm headquartered in the Seattle metropolitan area. We specialize in best-fit consulting based on client needs, with a focus on all aspects of digital product management. We have an active role that we are looking to assist our premier client with and are seeking an experienced consultant with the right set of values. For us, personality fit is paramount. We look for self-starters who are experienced yet flexible in their approach and who maintain a customer-focused outlook. Our consultants go above and beyond, stay focused on the end goal, and do what it takes to deliver results. If you believe you align with the above qualities, please review the opportunity and share why you are a strong fit for Moodys NWC.

Our compensation reflects the cost of labor across several US geographic markets. The salary for this position ranges from $120,000/year in our lowest geographic market up to $160,000/year in our highest geographic market. Pay is based on factors including market location and may vary depending on knowledge, skills, and experience. Additional compensation includes medical, vision, and dental benefits.

Moodys NWC believes in a culture of diversity, acceptance, and belonging. We are committed to equal opportunity in hiring without discrimination based on race, color, creed, national origin, sex, marital status, age, sexual orientation, gender identity, disability, medical status, or veteran status. Moodys NWC complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If you require reasonable accommodation during the application or interview process, please submit a contact form here: https://moodysnwc.com/contact-us/

Moodys Northwest Consulting

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