Data & AI (senior) Architect, Platinion

BCG BCG · Consulting · Paris, France · Technology and Engineering

This role focuses on designing and delivering end-to-end AI solutions, particularly GenAI, for enterprise clients. It involves problem framing, data strategy, model integration, and scalable deployment, aiming to drive business value and accelerate client transformation. The role requires a blend of technical expertise in AI/ML and consulting skills to guide clients through digital transformation journeys.

What you'd actually do

  1. Working closely with BCG and BCG Platinion teams, you will shape and implement digital initiatives that combine advanced technology, software craftsmanship, and business insight. You will design and deliver end-to-end AI solutions, covering problem framing, data strategy, model integration, and scalable deployment while ensuring measurable value creation.
  2. You will take ownership of key workstreams, guide client technology and business teams, and ensure delivery quality through agile and modern software engineering practices. You will actively contribute to the diffusion of GenAI capabilities across industries, from experimentation to industrialization.
  3. You will contribute to BCG Platinion’s digital and technology agenda by:
  4. Developing innovative AI use cases that accelerate client transformation and competitiveness.
  5. Supporting business development through thought leadership, proposals, and client relationship management.

Skills

Required

  • 3 to 7 years of experience in software engineering, Data & AI delivery, or technology consulting
  • Hands-on expertise in one or more areas such as GenAI use case implementation, machine learning engineering, data pipelines, cloud-based development, or software modernization with a demonstrated ability to create measurable business impact.
  • Strong understanding of how AI and software solutions translate into business value
  • Analytical and problem-solving mindset
  • Collaborative and communicative
  • Degree in STEM, Computer Science, Engineering, or related field

Nice to have

  • Experience or familiarity with modern delivery models (Agile, DevOps, MLOps)
  • willingness to continuously learn and apply emerging GenAI technologies
  • Entrepreneurial drive and curiosity
  • proactive ownership, initiative, and contribution to innovation and go-to-market efforts within the team

What the JD emphasized

  • end-to-end AI solutions
  • scalable deployment
  • GenAI capabilities
  • GenAI use case implementation
  • machine learning engineering

Other signals

  • design and deliver end-to-end AI solutions
  • scalable deployment
  • diffusion of GenAI capabilities across industries, from experimentation to industrialization
  • innovative AI use cases
  • GenAI use case implementation
  • machine learning engineering
  • data pipelines
  • cloud-based development