SeniorFull TimeEN
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Join our global team dedicated to innovation and initiative, where physical walls and different time zones don’t limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others.
Job Description Summary
Job Description
We are looking for an Applied AI Consultant Engineer to join our management consulting practice at the intersection of strategic project delivery and AI-powered innovation. This hybrid role is designed for someone who can operate both as a technical builder and a consulting contributor, supporting client-facing strategic engagements while also leading internal initiatives to deploy AI agents, automation workflows and multi-agent systems that enhance how our team works.
You will be embedded within a senior consulting team, working across healthcare and life sciences projects, and will play a key role in shaping how AI transforms our delivery model from the inside out, including deploying LLMs-native capabilities directly into consulting workflows.
Support the design and execution of strategic consulting projects, contributing sharp analytical thinking and structured problem-solving alongside AI-powered delivery
Translate complex business problems into AI-driven solutions, working closely with project leads
Communicate technical approaches and outputs to non-technical stakeholders, including client leadership
Contribute to project scoping, workplan structuring, and deliverable preparation in a fast-paced, multi-project environment
Design and implement Python-based data pipelines integrating external data sources and APIs
Develop automated workflows for data extraction, cleaning, filtering and transformation
Integrate LLM APIs for classification, standardization and structured information extraction
Design and refine prompt strategies and implement validation logic for structured outputs
Build reusable components for query generation and multi-source data integration
Ensure robustness, logging and maintainability of AI-powered workflows
Design and deploy LLMs-powered agents to automate recurring consulting tasks such as research synthesis, document drafting, data analysis and reporting
Build and maintain MCPs servers to expose internal tools, data sources and APIs as callable resources for agents
Define and package custom skills and automation workflows that can be triggered within LLMs, turning repeatable consulting processes into structured, reusable agent capabilities
Architect multi-agent systems where specialized agents collaborate on complex, multi-step tasks
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent practical experience)
2–5 years of experience in applied AI, data engineering, or a consulting-adjacent technical role
Strong Python programming skills, particularly in data processing, API integration, and modular design
Location: Barcelona, Spain (Hybrid with strong preference for in-office presence for collaboration)
Working knowledge of Python (or R), SQL, and common data manipulation/visualization libraries.
Solid experience working with REST APIs and structured data (e.g., JSON)
Hands-on experience working with LLM APIs in real-world project settings
Experience with prompt engineering, structured outputs, tool use patterns and error handling
Practical knowledge of MCP server design and implementation
Demonstrated experience building agents with tool use, skills, or multi-agent coordination
Familiarity with MCP ecosystems and third-party MCP integrations
Background in or exposure to management consulting workflows and deliverable formats
Experience working with clinical, healthcare, or life sciences datasets
Familiarity with RAG architectures, vector databases, or knowledge graph systems
Ability to work across multiple concurrent projects with a structured, autonomous mindset
Strong communication skills, able to present technical work clearly to business audiences
Strong learning orientation; receptive to feedback and proactive about development.
Reliable execution and follow-through; escalates risks early and appropriately.
Organized and detail-oriented; respects documentation and traceability requirements.
Team-first mindset; collaborates effectively across functions and geographies.
Languages
EnglishEducation
Bachelor of Science (BS) (Required), Masters of Science (MS): Computer and Information Science, Masters of Science (MS): Data Processing, Masters of Science (MS): Engineering, Masters of Science (MS): StatisticsContract Type
Regular
