[Remote] AI Architect

Note: The job is a remote job and is open to candidates in USA. Accelerize 360 is a company focused on AI solutions, and they are seeking an AI Architect to lead the technical design and implementation of AI systems. The role involves working closely with clients to translate business requirements into technical specifications, ensuring the delivery of robust AI architectures that meet client needs.ResponsibilitiesDesign end-to-end AI solution architectures: model selection, data pipelines, orchestration layers, integration points, and deployment infrastructureBuild rapid prototypes that make AI concepts tangible for clients - fast enough to drive decisions, rigorous enough to inform the real buildTranslate business requirements and AI strategy into implementation-ready technical specificationsEvaluate and recommend the right components of the AI stack - LLMs, vector databases, fine-tuning approaches, RAG patterns, agents, APIs - based on the client's constraints and goalsDefine and enforce architecture standards across the delivery team; catch design mistakes before they become production problemsLead technical discovery with clients: assess existing data infrastructure, identify gaps, and size the build effort honestlyAct as the senior technical voice in client-facing conversations - not just capable of communicating complexity clearly, but expected to do soReview and guide the work of AI engineers; flag architectural drift early and course-correct without creating bottlenecksContribute to internal IP: reusable patterns, accelerators, and architecture frameworks that raise the floor across all engagementsSkills7+ years in software or data engineering, with at least 3 years in a hands-on architecture roleConsulting or professional services background is required - you understand what it means to deliver under a fixed timeline with a client watchingDeep fluency in designing and deploying production AI/ML systems - not just familiarity with the conceptsPractical experience with LLM application patterns: RAG, agents, function calling, prompt engineering at scale, evaluation frameworksStrong command of at least one major cloud platform (AWS, Azure, or GCP) and its AI/ML services - SageMaker, Azure ML, or Vertex AI - and the ability to architect for cost, latency, and reliability simultaneouslyHands-on experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar; vector databases such as Pinecone, Weaviate, or pgvector; and model serving infrastructureProficiency in Python and comfort across the modern data stack: dbt, Airflow or similar orchestration, Snowflake or equivalent cloud data platformsAbility to write and review code - you don't need to be the fastest engineer in the room, but you need to read it fluently and know when something is wrongComfort operating in ambiguous, client-facing environments where requirements evolve and trade-offs are constantCompany OverviewAccelerize 360 is a certified Salesforce partner. It was founded in 2013, and is headquartered in Chicago, Illinois, USA, with a workforce of 51-200 employees. Its website is https://www.accelerize360.com.Company H1B SponsorshipAccelerize 360 has a track record of offering H1B sponsorships, with 3 in 2026, 3 in 2025, 6 in 2024, 3 in 2023, 4 in 2022, 5 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.