Software Architect (AI Platform)

TL;DR

Software Architect (AI Platform): Defining, designing, and evolving the architectural foundation of next-generation AI/GenAI products and solutions with an accent on ensuring AI systems can scale to meet enterprise demands while maintaining the highest standards of performance, reliability, and security. Focus on providing architectural leadership for complex, large-scale AI systems, and acting as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies.

Location: Boston, MA; Houston, TX; Broomfield, CO; Waterloo, Ontario; Remote US (ET preferred)

Salary: $197,462 - $315,938 USD

Company

hirify.global accelerates the customer’s journey to becoming a more connected and intelligent business.

What you will do

• Define, design, and evolve the architectural foundation of next-generation AI/GenAI products and solutions.
• Lead architectural strategy across multiple teams and product lines.
• Provide architectural leadership for complex, large-scale AI systems.
• Drive architectural standards and best practices across all AI/GenAI products and services.
• Mentor engineers, fostering a culture of continuous learning and technical excellence.

Requirements

• 12+ years of professional software development experience, including 7+ years in AI/ML systems architecture.
• Proven track record of architecting and delivering large-scale, production AI systems.
• Deep expertise in distributed systems architecture, microservices, and cloud-native design patterns.
• Advanced knowledge of AI/ML system architecture, including training infrastructure, model serving, and MLOps pipelines.
• Extensive experience with cloud platforms (GCP, AWS, Azure) and container orchestration (Kubernetes, Docker).
• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.

Nice to have

• Opportunity to architect systems for large language models (LLMs), generative AI, and foundation model deployment.
• Knowledge of advanced AI techniques including multi-modal models, reinforcement learning, and distributed training systems.
• Experience with AI governance frameworks, model risk management, and responsible AI architectures.
• Experience with enterprise architecture frameworks and methodologies (TOGAF, Zachman, etc.) and architecting systems for regulatory compliance (SOC2, GDPR, HIPAA, etc.).
• Passion for the AI/ML space and a thought leader for the AI/ML community.

Culture & Benefits

• Competitive compensation and benefits packages.
• Flexible work options.
• Full range of benefits including medical and dental insurance.