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AI Architect I (Manager)

Prestige Staffing • United States
This Job is No Longer Active This position is no longer accepting applications

Design, govern, and evolve end-to-end architectural solutions for scalable, secure, and high-performance AI systems. Lead cross-functional architecture and design reviews. Collaborate with engineering, data, cloud infrastructure, security, and product teams.

Key Highlights
AI Architect I (Manager)
End-to-end architectural solutions
Scalable, secure, and high-performance AI systems
Key Responsibilities
Architect end-to-end AI solutions, including model training pipelines, inference platforms, retrieval-augmented generation (RAG) systems, and cloud ML platforms.
Lead cross-functional architecture and design reviews to ensure alignment with enterprise architecture standards and business objectives.
Collaborate with AI engineering, MLOps, DevOps, data engineering, and security teams to define scalable, secure, and reusable technical patterns.
Design model-serving and inference architectures optimized for latency, throughput, reliability, scalability, and cost efficiency.
Define integration patterns for large language models (LLMs), vector databases, APIs, microservices, and event-driven workflows.
Establish and document architectural standards, reference architectures, diagrams, and decision records for enterprise adoption.
Provide guidance on cloud architecture, Kubernetes-based ML platforms, GPU capacity planning, and AI infrastructure modernization.
Embed responsible AI, data governance, compliance, and security requirements into solution designs and architecture artifacts.
Partner with security teams to assess technical risk and mitigate AI-specific vulnerabilities.
Mentor senior engineers and contribute to technical skill development across teams.
Evaluate emerging AI platforms, frameworks, and cloud capabilities to inform long-term architectural strategy.
Participate in AI-related incident reviews and drive improvements to system resilience and reliability.
Drive standardization across AI development, deployment, and lifecycle management practices.
Technical Skills Required
API design Integration patterns Microservices Event-driven architectures Cloud architecture Kubernetes-based ML platforms GPU capacity planning AI infrastructure modernization Responsible AI Data governance Compliance Security requirements Cloud architecture Kubernetes GPU planning ML platforms API design Integration patterns Microservices Event-driven architectures
Benefits & Perks
Unlimited PTO
Flexible remote work policy
Supportive environment
Sustainable, long-term performance
Nice to Have
Generative AI and LLM-enabled systems
RAG architectures
Vector databases
Model-serving frameworks

Job Description

About AI Transformation

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architecture, and industry experts to create AI-powered solutions that transform the way our clients do business.

The AI Transformation team builds on an established AI foundation, furthering the capabilities of the Applied AI / Machine Learning function. By combining Generative AI, Machine Learning, and Software Engineering, this team empowers clients to transform their business models through AI, regardless of their current AI adoption stage.

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