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Boston Consulting Group

Global strategy and transformation consulting firm

Senior AI Tech Architect - AI Platforms

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • A bachelor's degree in information technology, computer science, engineering, or a related field is required; a master's degree is a plus.
  • At least 4 years of experience in software engineering, data engineering, or AI development.
  • A solid foundation in software development and distributed systems concepts.
  • Hands-on experience building or integrating artificial intelligence, machine learning, or large language model-based components.
  • Proficiency in one or more programming languages, such as Python or JavaScript, is nice to have.
  • Hands-on experience using AI-assisted coding tools such as Cursor, Claude Code, Replit, or Lovable to support development, debugging, and rapid iteration of AI platform components.
  • Familiarity with modern AI frameworks and libraries such as LangChain, LlamaIndex, or Semantic Kernel.
  • A working understanding of agentic artificial intelligence concepts such as retrieval-augmented generation, prompt orchestration, vector databases, and basic multi-agent patterns.
  • A basic understanding of cloud platforms and AI services, with experience in at least one hyperscaler environment.
  • Exposure to deploying AI workloads on cloud platforms.
  • Experience integrating AI components with application programming interfaces and data sources.
  • Familiarity with containerization concepts such as Docker; Kubernetes exposure is a plus.
  • Strong problem-solving skills and attention to code quality.
  • Ability to explain technical concepts clearly within a project team.
  • Willingness to learn and grow in fast-paced, ambiguous environments.
  • An agile mindset focused on iterative delivery and continuous improvement.
  • Willingness to travel to work with clients and BCG teams as needed.
  • Generative AI fluency, such as demonstrated use of ChatGPT or Claude, and ability to validate responses.

Responsibilities

  • Contribute to the design of artificial intelligence and large language model-based system architectures with guidance from senior architects.
  • Implement agentic artificial intelligence components that support intelligent workflow automation and task execution.
  • Build and extend retrieval-augmented generation solutions for context retrieval, prompt workflows, and system integration.
  • Follow established architectural standards and provide feedback to improve design patterns and practices.
  • Support implementation of batch and real-time inference pipelines, with attention to performance and reliability.
  • Develop prototypes and technical proofs of concept to validate AI platform components and workflows.
  • Implement solutions using modern AI frameworks and libraries under architectural guidance.
  • Test and iterate on agentic workflows, prompts, and retrieval strategies to improve solution behavior.
  • Support implementation and deployment of AI platform components into development and production environments.
  • Assist with monitoring, troubleshooting, and improving system performance and reliability.
  • Follow defined standards for versioning, testing, and monitoring of AI services and models.
  • Communicate technical concepts within the project team and with immediate stakeholders.
  • Support preparation of technical documentation and presentations.
  • Collaborate with engineers, data scientists, and product team members to deliver agreed solutions.
  • Participate in technical working sessions and design discussions, contributing ideas and implementation insights.
  • Seek and incorporate feedback from senior team members to improve technical output.
  • Support junior team members through knowledge sharing and day-to-day collaboration.
  • Contribute positively to team culture and ways of working.
  • Seek feedback on work quality and incorporate guidance from senior architects.
  • Demonstrate professionalism and alignment with BCG's culture and values.
  • Stay current on emerging concepts in agentic artificial intelligence, retrieval-augmented generation, and AI platform tooling.
  • Experiment with new tools and techniques under guidance to expand technical skills.
  • Build depth in AI platform engineering through hands-on delivery experience.
  • Pursue learning opportunities to grow toward broader architectural responsibilities.
  • Contribute technical input to proposals or internal initiatives when needed.

Desired Qualifications

  • Proficiency in one or more programming languages, such as Python or JavaScript.
  • Exposure to Kubernetes.
  • A master's degree.

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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