20 часов назад
Staff AI Architect
146 071 - 201 541$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Architect (AI/LLM): Defining and delivering production-ready AI architectures across LLM applications, agentic systems, retrieval, model serving, and enterprise integrations with an accent on RAG, multi-agent orchestration, AWS inference optimization, and responsible AI. Focus on designing evaluation and observability systems, balancing fine-tuning, prompting, and RAG tradeoffs, and establishing reusable architecture standards across client engagements.
Location: US - Remote
Salary: $146,071–$201,541 USD annually
Company
Robots & Pencils designs and delivers production-ready AI systems that integrate into enterprise operations and client workflows.
What you will do
- Define AI system architecture for LLM applications, agentic systems, retrieval, and ML model serving across end-to-end engagements.
- Drive RAG and context-engineering strategy, including hybrid retrieval, reranking, chunking, embeddings, and vector stores.
- Lead multi-agent orchestration using frameworks such as LangGraph, Amazon Bedrock Agents, and AgentCore.
- Own AWS model-serving and inference architecture, optimizing latency, throughput, and cost through streaming, caching, batching, and quantization.
- Establish LLMOps and MLOps standards covering prompt versioning, evaluation pipelines, CI/CD, feature stores, guardrails, and observability.
- Partner with clients and leadership, mentor engineers, document reusable patterns, and act as a technical escalation point for complex architecture and integration challenges.
Requirements
- 7+ years of professional software engineering experience, including at least 3 years in AI/ML architecture or technical leadership.
- Deep expertise in LLM and agentic application architecture, multi-agent orchestration, tool calling, production RAG, hybrid retrieval, reranking, and vector stores.
- Strong experience with AWS model serving and inference optimization, as well as LLMOps, MLOps, evaluation, guardrails, tracing, and observability.
- Expert software engineering background with proficiency in Python and at least one additional language such as TypeScript, Java, or Go.
- Experience with cloud-native architecture, including microservices, serverless systems, containerization, and event-driven systems.
- Leadership, mentoring, responsible AI, governance, data isolation, prompt-injection defense, and sound judgment in ambiguous technical and business situations.
Nice to have
- AWS AI certifications.
- Fine-tuning or model customization experience.
- Additional responsible AI experience.
Culture & Benefits
- Production AI is delivered on an accelerated 30–45-day timeline.
- Work emphasizes ownership, direct feedback, technical craft, and continuous learning.
- Teams average more than fifteen years of experience.
- Eligible employees receive paid time off, medical, dental, and vision insurance, and a 401(k).
- Employment may be conditional on a background check in accordance with local legislation.
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