Principal AI Engineer

 
Location: Work is what you do, not where you go. For this role, we are open to remote work and can hire anywhere in the United States or Canada.
About the opportunity
We're looking for a Principal AI Engineer to lead the architecture, development, and implementation of cutting-edge AI and Generative AI solutions across our enterprise. In this role, you'll play a critical part in shaping and advancing our Enterprise AI Platform—including ownership of core tools and infrastructure that power AI innovation company-wide.
You will work hands-on with both traditional and generative AI technologies (e.g., LLMs, agents, RAGs), designing scalable, secure, and high-performing AI systems that drive real business impact across departments such as Sales, Marketing, Finance, HR, Legal, and IT. If you thrive at the intersection of strategy, engineering, and experimentation, and are excited by the opportunity to work on a modern enterprise AI stack (e.g., Replit, Vercel, cloud-native environments), we'd love to hear from you.
What you'll get to do
Architect and Build AI Solutions

Design and implement end-to-end AI applications tailored to complex enterprise challenges
Break down ambiguous use cases into well-defined, actionable solution designs using the latest AI technologies

Hands-On Development

Lead the engineering and deployment of AI assistants, agents, and applications using both code-first and low/no-code approaches
Build scalable, real-time AI systems with optimized performance and low latency

AI Platform Ownership

Own and evolve the underlying enterprise AI infrastructure and toolchain
Evaluate and integrate new AI frameworks, SDKs, and cloud services into the platform

Experimentation and Innovation

Rapidly prototype new AI features and solutions; conduct proofs of concept and guide production rollout
Research and apply cutting-edge techniques in GenAI, LLMs, RAG, agentic workflows, and multi-modal AI

MLOps & Automation

Implement robust MLOps pipelines, including model training, deployment, testing, monitoring, and drift detection
Automate lifecycle workflows to ensure reliability, scalability, and speed

Cross-Functional Collaboration

Work closely with product, engineering, data science, and business stakeholders to align AI capabilities with enterprise priorities
Translate strategic goals into scalable AI solutions that deliver measurable business value

Governance & Responsible AI

Champion responsible AI principles, including model interpretability, data privacy, and compliance with security policies

Mentorship & Leadership

Serve as a technical mentor and thought leader across AI teams
Foster a culture of experimentation, excellence, and continuous learning

Skills and experience we value

10+ years in software engineering, distributed systems, or enterprise architecture
5+ years of experience focused on AI/ML engineering, platforms, or applications
Experience in a lead role, directing and coaching teams of engineers and analysts
Strong background in enterprise-grade AI solution design and delivery across multiple domains
Deep understanding of LLMs, GenAI architectures, RAG pipelines, and agent-based systems
Hands-on expertise with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and cloud AI platforms (e.g., AWS SageMaker, Vertex AI, Azure ML)
Proficiency in Python, Java, or Go; strong system design and data engineering skills
Clear, effective communication skills; ability to influence across technical and executive teams
Bachelor's or Master's in Computer Science, Engineering, or a related technical field
A systems thinker who can architect, scale, and operationalize AI across a large enterprise

What would make you really stand out

A hands-on AI engineer who loves building impactful systems
Experience with developer tools and deployment environments like Replit, Vercel, or custom cloud setups
A strategic thinker who sees patterns across business and technology
A collaborative leader who thrives in ambiguity and drives alignment
A lifelong learner passionate about keeping up with the rapidly evolving AI landscape

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