Applied AI Consultant Engineer

Location: Barcelona

Remote Type: Hybrid

Time Type: Full time

Job Description

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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

Applied AI Consultant Engineer

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.

KEY RESPONSIBILITIES

Consulting & Strategic Projects

• 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

AI Engineering & Pipeline Development

• 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

Agent Deployment & Internal AI Innovation

• 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

DESIRED QUALIFICATIONS & EXPERIENCE

• 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)

TECHNICAL COMPETENCES & SOFT SKILLS

Technical competencies:

• 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

Nice to Have

• 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

Soft Skills:

• 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.

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