What are the responsibilities and job description for the AI Platform Architect position at Northern Base?
Location: Fully Remote (USA)
Job Type: Full-Time
Work Authorization: USC, GC, GC-EAD Only
We are seeking an experienced AI Platform Architect to design and deliver enterprise-scale AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Generative AI, cloud architecture, and modern AI platform engineering.
ResponsibilitiesDesign end-to-end enterprise AI architectures, including LLM-based applications, Retrieval-Augmented Generation (RAG), agentic workflows, and model orchestration services.
Architect secure, scalable, maintainable, and cost-effective AI platforms across cloud, hybrid, and on-premises environments.
Design prompt orchestration, contextual grounding, embeddings, vector database integration, retrieval optimization, hallucination mitigation, and traceability.
Implement security-by-design principles, including IAM, API security, audit logging, monitoring, data protection, prompt injection mitigation, and responsible AI controls.
Define and implement MLOps/LLMOps strategies, CI/CD pipelines, deployment automation, observability, evaluation frameworks, and production readiness standards.
Collaborate with engineering, security, and business teams to deliver enterprise AI solutions.
3 years of hands-on experience designing and implementing AI/ML or Generative AI solutions in enterprise environments.
Strong expertise with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), agent workflows, embeddings, vector databases, and API-based AI services.
Strong cloud architecture experience with Azure, AWS, or GCP.
Experience designing microservices, APIs, distributed systems, and event-driven architectures.
Proficiency in Python and modern AI/ML frameworks.
Experience with DevOps, MLOps/LLMOps, CI/CD, infrastructure automation, and architecture governance.
Knowledge of AI governance, responsible AI, model risk management, security reviews, guardrails, red teaming, and adversarial testing.
Experience integrating AI solutions with ITSM platforms, observability tools, knowledge systems, workflow engines, and regulated enterprise environments.
Interested candidates can send their updated resume to: