Company: The Boston Consulting Group
Location: London
Job Description:
Overview
In this role you will lead the development and deployment of GenAI tools and IT solutions to advance BCG’s digital capabilities. You will collaborate with cross-functional teams to deliver scalable software that aligns with business goals and enhances productivity. You’ll optimize AI-powered SaaS tools, explore proof-of-concepts, and stay ahead of emerging technologies to drive impact. This position offers hands-on problem solving, strategic tech leadership, and opportunities to shape enterprise AI adoption.
Pay / Benefits
- base salary plus discretionary bonus
- retirement contribution
- health insurance for employees and family
- dental and vision coverage
- gym membership reimbursement
- paid parental leave and family benefits
Responsibilities
- Lead implementation and optimization of GenAI applications and IT tools to boost productivity and efficiency
- Collaborate with Product Owners and Tribe Leaders to align tech with business needs
- Administer AI-powered SaaS tools, ensure secure deployment and integration
- Identify enhancements to enterprise AI tools to improve efficiency and user satisfaction
- Support proof-of-concept projects to validate new technologies
- Continuously assess software architecture for scalability, reliability, and alignment with trends
- Document designs, processes, and best practices for knowledge sharing
- Stay current on LLMs, APIs, and cloud solutions to drive impactful outcomes
Key requirements
- Bachelor in Computer Science or related field
- 6-8 years of software development or IT operations experience
- Proven experience in implementing AI-driven and multi-tenant SaaS solutions
- Strong frontend and backend skills (e.g., React, Python, Java, Typescript)
- Experience with systems design, architectural trade-offs, and integration best practices
- Experience with automated testing frameworks (e.g., Zypher, Pytest)
- Experience with cloud technologies and infrastructure as code (AWS/Azure/GCP, Kubernetes, Helm, Terraform)
- Knowledge of DevOps culture and practices
- Collaborative and cross-functional collaboration
- Strong problem-solving and proactive automation
- Change management discipline for technology rollouts
- High energy and autonomy in fast-paced environments
- Effective communication with technical and business stakeholders
- GenAI, SaaS integrations, cloud technologies, security
…
Posted: October 1st, 2026