WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world's best places to work.
We are currently the top ranked consulting firm on Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don't happen by chance.
They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment.
We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.WHO YOU'LL WORK WITHYou'll join our engineering experts within the AI, Insights & Solutions team.
This team is part of Bain's digital capabilities practice, which includes experts in analytics, engineering, product management, and design.
In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges.
You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions.
Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients.
Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.WHERE YOU'LL FIT WITHIN THE TEAMAs an Expert Senior Manager, AI Engineer, you'll architect, build, and scale next-generation generative AI systems and agentic solutions for Bain's clients.You'll work at the intersection of advanced engineering, applied AI research,



product strategy, and responsible AI governance.
You'll lead the full lifecycle of AI solutions, from research and experimentation through production deployment and ongoing optimization, while guiding teams across engineering, product, data science, ethics, infrastructure, and client stakeholders.WHAT YOU'LL DOIn this role, you will:Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applicationsArchitect multi-component pipelines across Retrieval-Augmented Generation, fine-tuning, embedding generation, and hybrid retrieval strategiesIntegrate reasoning, tool use, function calling, and orchestration across complex AI workflowsEngineer advanced agentic systems with robust memory architecture, scalable tool ecosystems, and clear separation of concernsLead work from early-stage research, model experimentation, and evaluation design through production deploymentOversee API development, microservices, CI/CD pipelines, observability, and cloud-native deploymentBuild GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvementDesign evaluation frameworks covering factual consistency, relevance, precision and recall, latency, throughput, cost, and system performanceImplement guardrails, fallbacks, red-teaming strategies,



and human-in-the-loop workflowsPartner with integral ethics teams to align solutions with Bain's Responsible AI standardsAdvise executives and clients on AI strategy, architecture decisions, emerging capabilities, and implementation roadmapsMentor and upskill technical teams on RAG, agents, prompt engineering, and AI safetyABOUT YOUYou bring:8-12+ years of experience in software engineering, machine learning engineering, applied AI, or related technical rolesSignificant hands-on experience building and deploying complex AI or machine learning systemsDemonstrated experience leading multi-stack generative AI programs from concept through productionDeep expertise in advanced RAG architectures, including vector, hybrid, and graph-based retrievalExperience with agentic architectures, including multi-agent systems, tool selection, routing, memory, planning, and reflectionStrong knowledge of prompt engineering, context engineering, conversation design, and LLM application evaluationExperience with orchestration frameworks, vector and graph databases, and model and API ecosystemsStrong background in system design, architecture, and production-grade deploymentFamiliarity with cost optimization and computational tradeoffs for LLM workloadsExperience leading engineering teams, mentoring technical talent, and working across cross-functional groupsStrong executive communication skills, with the ability to translate technical concepts into business implicationsComfort working in high-ambiguity environments with clients and cross-functional teamsFluent in English; Spanish OR Portuguese are mandatory.Experience in client-facing consulting or enterprise transformation environments is a strong plus.
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📌 Expert Senior Manager, Ai Engineering (Santiago)
🏢 Bain
📍 Santiago