airagci cdmachine learningprompt engineeringgenerative aivector databasesmulti agent systemscloud deploymentresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Bain это четко описанная руководящая роль в AI с практической работой над промышленными GenAI-системами, хотя клиентский консалтинг может означать разные задачи на разных проектах.
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Широкая зона ответственностиСовременный AI-стекПонятный уровень ролиСильный бренд
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Expert Senior Manager, AI Engineering (Generative AI): Designing, building, and scaling production-grade generative AI systems and agentic solutions for Bain’s clients with an accent on advanced RAG, multi-agent workflows, responsible AI, and cloud-native deployment. Focus on architecting complex AI pipelines, evaluating and optimizing LLM applications, implementing guardrails and human-in-the-loop workflows, and advising executives on AI strategy.
Location: Santiago, Chile or São Paulo, Brazil
Company
Bain & Company is a global consulting firm whose AI, Insights & Solutions team develops data-driven strategies and AI-enabled solutions for clients.
What you will do
Design, build, deploy, and scale end-to-end generative AI systems, multi-agent workflows, and production-grade AI applications.
Architect pipelines covering RAG, fine-tuning, embeddings, hybrid retrieval, reasoning, tool use, function calling, orchestration, memory, and planning.
Lead AI solutions from research, experimentation, and evaluation design through production deployment and ongoing optimization.
Oversee APIs, microservices, CI/CD, observability, cloud-native deployment, and GenAIOps for testing, regression evaluation, latency monitoring, and continuous improvement.
Design evaluation frameworks and implement guardrails, fallbacks, red-teaming, and human-in-the-loop workflows aligned with Responsible AI standards.
Advise executives and clients on AI strategy, architecture, emerging capabilities, and implementation roadmaps; mentor engineering and technical teams.
Requirements
8–12+ years of experience in software engineering, machine learning engineering, applied AI, or related technical roles.
Significant hands-on experience building and deploying complex AI or machine learning systems.
Experience leading multi-stack generative AI programs from concept through production.
Deep expertise in advanced RAG architectures, including vector, hybrid, and graph-based retrieval.
Experience with agentic architectures, multi-agent systems, tool selection, routing, memory, planning, and reflection.
Strong knowledge of prompt engineering, context engineering, conversation design, and LLM application evaluation.
Experience with orchestration frameworks, vector and graph databases, model and API ecosystems, system architecture, and production-grade deployment.
Familiarity with cost optimization and computational tradeoffs for LLM workloads.
Experience leading engineering teams, mentoring technical talent, and collaborating across functions; strong executive communication and ability to translate technical concepts into business implications.
Comfort working in high-ambiguity environments with clients and cross-functional teams.
Fluent English and mandatory Spanish or Portuguese.
Nice to have
Client-facing consulting or enterprise transformation experience.
Culture & Benefits
Work in a multidisciplinary AI, engineering, product, analytics, and design environment alongside consultants and clients.
Collaborate with engineering, product, data science, ethics, infrastructure, and client stakeholders.
Supportive and inclusive environment focused on creativity, continuous learning, and professional and personal development.
Permanent full-time employment.
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