AI Architect

This is a fully remote position, open to applicants in California.

📋 Description

• Identify and document enterprise AI use cases, business value drivers, and target delivery models that align with the organization’s goals and objectives.

• Create and sustain current-state and target-state AI architecture throughout the enterprise, encompassing platforms, data flows, integration patterns, security controls, and governance requirements.

• Lead evaluations on build-versus-buy options for AI platforms and services, providing well-informed recommendations.

• Develop reusable AI architecture patterns, reference models, and implementation standards to ensure consistent delivery.

• Direct proof-of-concept and pilot strategies to assess solution feasibility, technical design, business value, and operational readiness prior to wider adoption.

• Propel scalable AI operations by incorporating monitoring, telemetry, observability, governance, and change management practices throughout the AI lifecycle.

• Collaborate with architecture, engineering, data, security, product, and business stakeholders to convert requirements into secure, reliable, and governed AI solutions.

• Establish key deliverables for the function, including AI architecture models, proof-of-concept strategies, and delivery patterns that enhance enterprise adoption.

• Undertake miscellaneous duties as required.

⛳️ Requirements

• Extensive knowledge of AI/ML concepts and patterns, including machine learning, generative AI, large language models (LLMs), prompt design, retrieval-augmented generation (RAG), model evaluation, and responsible AI practices.

• Hands-on experience with Python and familiarity with popular AI/ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, LangChain or Semantic Kernel, APIs, and vector databases.

• Proven expertise in MLOps / LLMOps practices, including CI/CD, model deployment, observability, telemetry, drift and performance monitoring, cost optimization, and lifecycle management.

• Strong understanding of AI security, privacy, governance, and compliance requirements, including access controls, data protection, auditability, risk management, bias mitigation, and human-in-the-loop controls.

• Relevant cloud, architecture, or AI certifications are preferred (for example, Azure AI Engineer, AWS Machine Learning, Google Professional Machine Learning Engineer, or equivalent architecture certifications).

• Demonstrated ability to perform build-versus-buy assessments, evaluate vendors and platforms, define reference architectures, and establish reusable design patterns and standards.

• Excellent collaboration and communication skills, capable of translating business priorities into technical roadmaps, solution designs, proof-of-concept strategies, and executive-ready recommendations.

• Strong analytical and management skills, including facilitation of cross-functional teams, change management, and mentoring delivery teams on AI architecture best practices.

🏝️ Benefits

• Equal Employment Opportunity Statement: All qualified applicants will be considered for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Job candidates will not be required to disclose sealed or expunged records of conviction or arrest as part of the hiring process.