Manager, AI Engineering

Bain & Company, Inc.; Madrid; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Bain & Company, Inc. in Madrid seeks an experienced Manager, AI Engineering to design, build, and ship generative AI systems and agentic solutions for enterprise clients. You will own components and lead delivery while guiding junior engineers and collaborating with cross-functional teams to ensure enterprise impact.

You will advance AI capabilities by working with RAG architectures, embeddings, and orchestration tools, contributing to robust, scalable solutions and responsible AI practices.

Qualifications

• 6–11+ years in software/ML engineering or applied AI with hands-on building experience.
• End-to-end shipping of generative AI features or systems with ownership.
• Emerging leadership: guide peers and drive technical decisions.
• Strong communication to non-technical stakeholders.
• Proficient in prompt engineering and context engineering skills.

Responsabilités

• Own design, development, and deployment of generative AI systems and multi-agent workflows.
• Architect and build multi-component AI pipelines (RAG, fine-tuning, embeddings).
• Implement reasoning, tool use, function calling, and orchestration across AI workflows.
• Build and lead delivery of agentic systems with scalable tools and robust memory architecture.
• Drive workstreams from research to production deployment with quality and pace.
• Collaborate with product, engineering, data science, ethics, and infra teams to deliver robust AI systems.
• Mentor and develop junior engineers and share knowledge on RAG, agents, and AI safety.

Connaissances

Software engineering

ML engineering

Applied AI

Leadership

Communication

Prompt engineering

Evaluation design

LLM tooling

System design

Client-facing

Outils

RAG architectures

Vector databases

Graph databases

Orchestration frameworks

Model + API ecosystems

Description du poste

What Makes Us a Great Place to Work

We 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.

About Bain AI, Insights & Solutions (AIS)

Bain’s AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into r obust AI applications that can be piloted, scaled, and adopted.

The Impact You’ll Have

Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.

As a Manager, AI Engineering in AIS, you will lead the technical delivery of these transformations, bridging individual contribution and team leadership to move solutions from prototype to real adoption. You will take ownership of workstreams, guide more junior engineers, and interface with cross-functional partners and client stakeholders to ensure technical work lands with measurable enterprise impact.

The Role

The Manager, AI Engineering will design, build, and ship generative AI systems and agentic solutions for Bain's clients — while beginning to lead others in doing the same. This role sits at the inflection point between senior individual contributor and emerging technical leader. You will take full ownership of components and workstreams within larger programs, influence technical direction, and actively develop the engineers around you.

You will have opportunities to work with major AI ecosystem partners through Bain's partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.

Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do

• Own the design, development, and deployment of generative AI systems and multi-agent workflows within client engagements, taking end-to-end accountability for assigned workstreams.
• Architect and build multi-component AI pipelines, including:
  • Retrieval-Augmented Generation (RAG)
  • Fine-tuning and parameter-efficient tuning
  • Embedding generation and optimization
  • Hybrid retrieval strategies (vector, graph, keyword)
• Implement and integrate reasoning, tool use, function calling, and orchestration across AI workflows.
• Build and lead delivery of agentic systems with clear separation of concerns, robust memory architecture, and scalable tool integration.
• Drive workstreams from research and experimentation through production deployment, maintaining quality and pace.
• Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with strong attention to observability and reliability.
• Establish and improve GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement.
• Balance performance, safety, responsible AI principles, and cost across system design:
  • Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
  • Partner with global ethics teams to ensure alignment with Bain's Responsible AI standards
  • Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
• Design and implement evaluation frameworks covering:
  • Hallucination rate and factual consistency
  • Relevance and precision/recall
  • Latency, throughput, and system-level performance
  • Cost tracking and efficiency
• Partner closely with product, engineering, data science, ethics, and infrastructure teams to deliver robust, compliant AI systems.
• Communicate technical decisions and findings clearly to cross-functional stakeholders and, where relevant, clients; begin contributing to architecture discussions at the program level.
• Actively mentor and develop more junior engineers (Associates, Senior Associates, Leads), sharing knowledge on RAG, agents, prompt engineering, and AI safety best practices.
• Contribute to a culture of technical excellence, learning, and inclusion within the AIS engineering community.

What We’re Looking For (Qualifications)

• 6 -11+ years in software engineering, ML engineering, or applied AI roles, with significant hands-on building experience.
• Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production, with ownership of one or more full workstrea ms.
• Emerging leadership presence: a track record of stepping up to guide peers, coordinate workstreams, and drive technical decisions within a team.
• Strong communication skills — able to explain complex technical concepts clearly to non-technical collaborators and client stakeholders.
• Solid prompt engineering and context engineering skills; familiarity with conversation design principles.
• Strong working knowledge of evaluation design, experimentation frameworks, and data labeling strategies for LLM applications.
• Solid experience with:
  • RAG architectures (vector-based retrieval; hybrid or graph-based approaches a plus)
  • Agentic patterns (tool use, routing, memory management; multi-agent systems a plus)
  • ReAct, RLAIF, and other HITL + feedback loop methodologies
  • AI-specific tools & frameworks — orchestration frameworks, vector and graph databases, model + API ecosystems
• Strong background in system design, architecture, and production-grade deployment.
• Solid familiarity with cost and latency tradeoffs when working with LLM workloads.
• Comfort operating in high-ambiguity environments with collaborative cross-functional teams.
• Eagerness to grow into a full technical leadership role; a demonstrated appetite for developing others.
• Experience in client-facing consulting or enterprise transformation environments is a strong plus.
• This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.
• Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.