McKinsey Magyarországi Fióktelepe

Learning Design Specialist

HybridEurope

Agentic AI Agile AI Deep Learning OpenAI

Designs and leads end-to-end development of learning experiences for McKinsey's L&D team in Budapest, collaborating with global L&D, people, technology, and data teams. Builds AI-enabled modular content using instructional-design methods plus tools like Articulate Suite, Claude, OpenAI, and Cursor.

Agentic PDLC Asset Library team member

Agentic AI AI Cloud Generative AI JavaScript +5 skills

Delivers agentic AI solutions across McKinsey client engagements: embedding with client teams to translate needs into requirements, then building and configuring full-stack AI-enabled products while scoping, sequencing, and managing delivery. Core tech includes Python, JavaScript, and LLM/generative AI systems on cloud/SaaS platforms.

Lead AI Solutions Designer and Developer

On-siteEuropeLead

Agentic AI Agile AI Airflow Analytics +31 skills

Lead-level role designing and building AI solutions, scalable data pipelines, and software products from the ground up, working with client teams and McKinsey's QuantumBlack AI groups. Core stack: Python, PySpark/SQL, Airflow, Databricks, Kedro, Docker/Kubernetes, and cloud platforms (AWS/Azure/GCP).

Senior Forward Deployed Engineer

On-siteEuropeSenior

Agentic AI AI Ansible Automation AWS +29 skills

Deploys and operates McKinsey's EcliptOS platform for clients: setting up production-grade cloud and hybrid environments, automating delivery with Kubernetes, CI/CD and IaC tooling, validating performance, and handing over to clients while collaborating with data scientists and ML engineers. Core stack: Python, Docker, Kubernetes, AWS/Azure/GCP.

AI Solutions Engineer

Agentic AI Agile AI Airflow Analytics +32 skills

Builds AI and machine-learning solutions for client engagements with McKinsey's QuantumBlack in Budapest — developing scalable data pipelines, secure data environments, and production-grade software while mentoring client teams. Core stack: Python, SQL, Spark/Dask, Airflow, Docker, Kubernetes, and AWS/Azure/GCP.

Senior Software Engineer

On-siteEuropeSenior

Agile Angular AWS Azure CI/CD +25 skills

Senior software engineer at McKinsey & Company's Budapest office who leads architecture and technology decisions on client engagements, co-creates products with client teams, and mentors them in Agile and engineering best practices. Full-stack work spanning TypeScript/React frontends, Python/Node/Java/.NET backends, cloud platforms, and LLM tooling.

Transformation Project Manager

A Transformation Project Manager at McKinsey Budapest runs transformation project workstreams across sectors — managing client meetings and workshops, leading junior consultants, and delivering project parts with growing responsibility. Requires 4+ years in project delivery/PMO, business transformation experience, and exposure to AI-related solutions.

Software Engineer

Agile Angular AWS Azure CI/CD +20 skills

Software Engineer at McKinsey's Budapest office who builds full-stack products and services for clients from the ground up while mentoring client teams and shaping engineering cultures. Work spans TypeScript/React-style frontends, Python/Node/Java/C# backends, SQL/NoSQL and vector databases, LLM tooling, Docker/CI/CD, and Azure/AWS/GCP clouds.

Software Engineer

Agile Angular API Automation AWS +17 skills

Software Engineer on McKinsey Panorama's tech team in Budapest, building full-stack applications from database to UI, including rapid prototypes and scalable production apps. Core stack spans C#/.NET, JavaScript (React/Angular), NodeJS, Python, SQL/No-SQL databases, Azure/AWS, and LLMs.

On-siteEuropePart-timeLead

Member of McKinsey's global scientific AI team

AI Causal Inference Deep Learning LLM Machine Learning +2 skills

Senior scientific AI/biostatistics expert joining McKinsey's global team in Budapest: staffing Life Sciences R&D client studies, architecting AI-driven clinical trial solutions, publishing research, and mentoring junior colleagues. Core areas: clinical biostatistics, machine learning, LLMs, causal inference.