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Boston Consulting Group

Global strategy and transformation consulting firm

Senior AI Tech Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeCopenhagen, DenmarkNo salary listed

About the Job

Requirements

  • Have approximately four years of relevant experience in software development, data/AI engineering, cloud/platform engineering, solution architecture, or IT consulting, including responsibility for technical workstreams or smaller teams.
  • Have a degree in computer science, software engineering, data science, informatics, engineering, or another technology-intensive field, including business degrees majoring in any of the mentioned topics, or have relevant industry experience.
  • Have hands-on software development or engineering experience and be comfortable reviewing code, APIs, data, technical designs, and modern development environments.
  • Have a strong understanding of modern software and cloud architecture concepts, such as APIs and microservices, containerization, cloud-native development, data architectures, distributed systems, continuous integration and continuous delivery (CI/CD), and DevOps.
  • Have hands-on experience with AI, machine learning, or generative AI solutions and understand how to design large language model (LLM)-based applications.
  • Have experience developing technical designs, facilitating architecture decisions, and communicating trade-offs across scalability, resilience, security, maintainability, cost, and delivery feasibility.
  • Have broad technical expertise and a strong interest in emerging technology trends across AI, cloud, data, software, and digital platforms.
  • Have experience guiding engineers or junior architects and maintaining quality across technical deliverables.
  • Be able to explain complex architecture decisions to technical and non-technical stakeholders.
  • Be comfortable working in interdisciplinary teams and global contexts and be willing to travel.
  • Be able to understand and communicate complex topics in English.

Responsibilities

  • Conduct technology-oriented analyses, review and specify IT systems or architectures, design technical solutions, improve processes, and define target architectures.
  • Develop IT strategies, concepts, and solutions with colleagues, applying technical expertise and analytical and conceptual skills.
  • Provide content guidance to and coordinate smaller teams.
  • Lead architecture and technical solutioning modules, assess existing technology landscapes, and take ownership of scalable target, solution, and platform architectures across applications, data, cloud, integration, and AI.
  • Design and guide implementation of modern AI and generative AI solutions, including LLM- and agent-based applications, retrieval and knowledge architectures, model and tool integration, and the data and platform components needed to operate them at scale.
  • Translate business and functional requirements into technical designs, facilitate architecture decisions, and evaluate trade-offs across performance, scalability, resilience, security, maintainability, cost, and vendor choices.
  • Lead prototypes, proofs of concept, and technical assessments to test feasibility, evaluate technologies, and reduce risk in architecture and implementation decisions.
  • Define engineering practices and platform capabilities to move AI solutions from experimentation to production, including APIs, CI/CD, DevOps, MLOps/LLMOps, observability, testing, and lifecycle management.
  • Embed security and responsible AI into solution design, coordinate smaller technical teams, and provide content guidance and coaching to engineers and junior architects.

Desired Qualifications

  • Experience with retrieval-augmented generation (RAG), AI agents, model integration, MLOps/LLMOps, or AI evaluation is an advantage.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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