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AI Architect

LinkedIn Crowe Hartford, CT
Not Applicable Posted March 29, 2026 6 variants Job link
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Requirements
  • 7+ years of experience in software engineering, AI/ML engineering, data engineering, or cloud architecture.
  • Proven experience designing distributed systems and cloud-native architecture.
  • Strong understanding of the ML model lifecycle, AI infrastructure, and scalable system design.
  • Expertise in API design, integration patterns, microservices, and event-driven architectures.
  • Ability to lead architectural decision-making and align technical solutions with business needs.
  • Excellent communication, documentation, and diagramming skills.
  • Demonstrated ability to guide teams through complex technical design challenges.
  • Willingness to travel occasionally for cross-functional planning and collaboration.
  • Availability to support critical launches, reviews, or incident response as needed.
Preferred Skills
  • Master’s degree, cloud architect certification, or enterprise architecture certification (e.g., TOGAF).
  • Prior experience in technical leadership, architecture governance, or standards development.
  • Advanced experience architecting ML platforms on AWS, Azure, or GCP, including Kubernetes-based infrastructure, GPU planning, and infrastructure-as-code (e.g., Terraform).
  • Experience designing resilient, observable, multi-region cloud architectures, and event-driven data pipelines.
  • Expertise in generative AI and LLM-enabled systems, including RAG architectures, vector databases (e.g., Pinecone, Weaviate, FAISS), and model-serving frameworks (e.g., vLLM, TGI).
  • Experience designing prompt orchestration, guardrails, fine-tuning workflows (e.g., LoRA/QLoRA), and secure LLM integration.
  • Availability to support critical launches, reviews, or incident response as needed.
Education
  • (Not required) – Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • (Not required) – Master’s degree, cloud architect certification, or enterprise architecture certification (e.g., TOGAF).