platform engineer AI

Описаниеboston Consulting Group
London, UK
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Applications Architecture Microsoft Azure Big Data BigQuery Cloud Computing Cloud Engineering Distributed Systems Python (Programming Language) Software Engineering Google Cloud
+6 more
Cloud Platform System Multi-Agent Systems AI Platforms Kubernetes Data Management Databricks

Job description

ОписаниеBoston Consulting Group partners with business and society leaders to address important challenges and capture opportunities. It delivers management consulting, technology, design, corporate and digital ventures, and business purpose solutions to support organizational transformation and growth.ЗадачиPartner with engineering teams to design, deploy, and scale AI-enabled applications and platforms;Review application code, platform architectures, and deployment patterns to identify opportunities to improve scalability, reliability, and security;Build, evolve, and enhance platform capabilities that enable production-ready AI systems and accelerate engineering teams’ ability to deliver AI solutions;Design and improve architectures leveraging technologies such as Python, Kubernetes, LangGraph, LangChain, Databricks, and comparable AI and data platforms;Contribute code, technical solutions, and implementation guidance to support the development of secure, resilient, and maintainable AI

Requirements

services;Help shape the evolution of AI platform architecture, engineering standards, and deployment approaches across BCG’s technology landscape;Evaluate AI orchestration patterns and platform designs, helping teams implement scalable and operationally effective solutions;Influence architecture and engineering decisions through credible technical leadership, practical recommendations, and hands-on partnership;Partner with global engineering and cybersecurity stakeholders to strengthen the security, reliability, and operational maturity of AI platforms and services.Требования6-8 Years of experience building and operating AI-enabled applications, platforms, or cloud-native systems in production environments;Strong software engineering skills with hands-on experience developing solutions in Python;Experience designing, deploying, and operating Kubernetes-based platforms at scale;Experience working within AWS, Azure, GCP, or comparable cloud environments;Strong understanding of distributed systems, application architecture, cloud-native deployment patterns, and engineering best practices;Proven ability to evaluate technical designs, influence engineering decisions, and collaborate effectively across engineering, platform, and cybersecurity teams;Nice to have: familiarity with AI orchestration frameworks such as LangGraph, LangChain, or similar technologies;experience working with Databricks, lakehouse platforms, BigQuery, or comparable large-scale data environments.УсловияLondon and Lisbon locations. #J-18808-Ljbffr

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Good distractions

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