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Are you passionate about building intelligent, scalable AI systems that make a real impact? As an AI Architect, you’ll be the company’s go-to expert for all things artificial intelligence — defining our vision, leading architectural strategy, and ensuring AI is seamlessly integrated into every product and platform we build. You’ll work at the intersection of innovation and execution, partnering closely with Product, Engineering, Data, and Security teams to turn advanced AI technologies into business value. From developing architecture blueprints to guiding implementation and governance, this role is both hands-on and strategic — ideal for someone ready to drive meaningful transformation across the organization.
Job Responsibility:
Set the Vision: Define and maintain the company-wide AI architecture blueprint and roadmap to power automation, personalization, analytics, and intelligent decision-making
Establish Best Practices: Create and maintain AI development standards, model lifecycle processes, and governance frameworks to ensure scalability, fairness, and compliance
Drive Strategy: Partner with leadership to evaluate emerging AI technologies, frameworks, and vendors — shaping how we leverage everything from LLMs and vector databases to orchestration tools
Enable Reusability: Architect modular, reusable AI components and services that streamline development across multiple product lines
Collaborate & Build: Work with cross-functional teams to design secure, cloud-native AI services, APIs, and data pipelines
Champion Governance: Define AI model observability, auditability, and ethical use standards in partnership with InfoSec and Legal teams
Innovate & Educate: Lead internal workshops, mentor teams, and serve as an evangelist for AI adoption across the company
Represent & Inspire: Engage with external AI communities, vendors, and conferences to showcase our innovation and learn from the broader ecosystem
Requirements:
Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred)
8+ years in software engineering, architecture, or data science
3+ years designing and implementing enterprise-scale AI or ML systems
Proven experience architecting AI solutions using cloud-native tools (AWS SageMaker, Azure AI, OpenAI API, LangChain, etc.)
Deep understanding of LLMs, embeddings, model orchestration, reinforcement learning, and multimodal AI
Strong grasp of AI governance frameworks (NIST AI RMF, GDPR, SOC 2, PCI 4.0)
Experience building MLOps pipelines and scalable model deployment systems
Excellent communicator and collaborator who can bridge technical and non-technical teams
Strategic thinker who balances innovation with practicality
Lifelong learner passionate about exploring new tools and methodologies
Nice to have:
Familiarity with edge AI or real-time inference systems (TensorRT, ONNX, NVIDIA Jetson)
What we offer:
Flexible paid time off
Affordable health, dental, and vision insurance options
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