Global IT Enterprise Architect, Senior Director - GenAI Integrations

• Define the architecture for BCGs integration layer, including contracts, gateways, and access models connecting applications, services, and AI agents to BCG systems, and define the GenAI platform built on top of it.
• Establish a shared, contract-first integration architecture and the guardrails that enable AI agents to operate safely.
• Lead BCGs enterprise approach to API and agent governance and contribute to the transformation of BCG IT.
• Own enterprise architecture for the integration (contract) layer and enterprise GenAI platform.
• Bring teams together to develop architectures that meet demanding requirements for security, governance, and scale.
• Influence architects across the Integration and GenAI domains, and collaborate with solution architects and technical leaders across the organization.
• Develop and present enterprise architecture arguments and supporting materials, build agreement across organizational levels, and mentor, coach, and share knowledge with colleagues.
• Help improve efficiency, increase delivery velocity, and reduce risk across the architecture team and its partner teams.

Technologies:

• AI
• AI Agents
• API
• Apigee
• CTO
• MCP
• MuleSoft
• Network
• Security
• Architect
• Office 365
• Spark

More:

We are Boston Consulting Group (BCG), a global firm that partners with business and society leaders to address important challenges and opportunities. Founded in 1963 as a pioneer in business strategy, we help clients transform, grow, build competitive advantage, and drive business impact through consulting, technology, design, ventures, and business purpose. This Senior Director-level individual contributor role is based in London or Lisbon and sits in our central Enterprise Architecture team, reporting to our CTO. It partners closely with the teams responsible for Identity, Network, Devices, and Hosting, whose architecture is owned by other Enterprise Architecture leads. We value in-person collaboration and offer a dynamic, collaborative environment; regular office or client-site work is generally expected, typically around 50% of working time, depending on business needs and local policies. We are an equal opportunity employer and consider qualified applicants in accordance with applicable laws.

• 10+ years of experience leading and owning enterprise architecture for integration and/or AI platforms at global scale, including platform value, opportunities, inventory, roadmaps, rationalization, and total cost of ownership.
• Multiple successful examples of independently planning global integration and GenAI estates across requirements, technology, cost, value, and rationalization, and leading investment decisions at portfolio and individual technology levels.
• Experience leading architecture for API and event-driven integration, including API gateways, service contracts, and event streaming, as well as enterprise GenAI, including foundation model gateways, agent-to-tool protocols such as MCP and A2A, agent identity, and guardrails.
• Deep, hands-on experience with at least one API or integration gateway platform, such as Kong, Apigee, or MuleSoft, and direct experience architecting enterprise use of foundation models such as OpenAI, Anthropic, Google, or Mistral.
• Ability to lead decisions to a conclusion in a highly matrixed organization with minimal or no supervision, and prepare materials for and present to senior leaders, including C-suite executives.
• Strength in setting a vision, solving complex and ambiguous problems, collaborating across teams, and addressing security, governance, and scale requirements.
• Ability to develop high-quality enterprise architecture arguments and materials, communicate them effectively, influence technical leaders, and mentor, coach, and share knowledge with others.
• Expertise in modern integration and AI paradigms, including API and event-driven architecture, agent and tool-calling protocols, foundation model gateways, and the guardrails and evaluation gates needed to operate GenAI safely at enterprise scale.
• Curiosity, a growth mindset, and a focus on efficient delivery, increasing velocity, and reducing risk.