AI Large Language Model (LLM) Technology Architect

As an hands‑on AI/LLM Architect, you design and build advanced AI systems for enterprise use. You work across classical ML, generative AI, and agentic architectures, delivering in client engagements. You translate requirements into concrete architecture decisions and implement end-to-end components, ADRs, and integration specs. You collaborate with data and ML engineers to ground outputs in enterprise data and ensure security, observability, and reliability. This role offers growth toward lead or principal architect as you shape scalable AI solutions for business impact. equal opportunity employer learning and certifications career growth opportunities recognized as a World’s Best Workplace Architect, build, and deliver software components across the AI stack end-to-end Design AI agent architectures with prompts, tools, skills, multi-agent orchestration, and memory Prototype and validate orchestration patterns for task handoffs, state management, and error handling Evaluate design options balancing capability, cost, performance, and reliability Create evaluation strategies for agent/system quality (accuracy, relevance, faithfulness) and drive design improvements Integrate foundation models with suitable invocation, fine-tuning, RAG, and custom integration choices Develop model adaptation and fine-tuning pipelines leveraging transformer architectures Design the AI context layer with context graphs, ingestion pipelines, and retrieval to ground outputs Build embedding/vector storage and retrieval into end-to-end RAG pipelines connected to enterprise data Implement context assembly and memory components for grounded, accurate outputs Create reusable components and patterns to accelerate delivery across engagements Optimize for cost, latency, and throughput; manage caching and resource usage Ensure systems meet security, governance, and Responsible AI requirements with guardrails and PII handling Build governance features like versioning, audit logging, and lineage; document models Embed observability through logging, tracing, monitoring, and cost tracking for production health Produce architecture artifacts (ADRs, blueprints, diagrams) to guide teams Continuously learn and apply new AI design patterns and tech Collaborate with data engineers, ML engineers, and application developers to translate requirements Experience designing and deploying enterprise AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor Hands-on experience with Agentic, LLM, and Generative AI domains Proficiency in Python Strong background in architecting and operationalizing LLM-driven application architectures Professional experience in engineering, ML, deep learning, and NLP applications Multiple years as a ML architect delivering large-scale data and analytical solutions As an hands‑on AI/LLM Architect, you design and build advanced AI systems for enterprise use. You work across classical ML, generative AI, a… Leading careers For members only Take your next career step

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