Associate Director, Architecture and Integration (AI)

Key Responsibilities

• Lead solution architecture for priority AI use cases across Corporate Affairs, translating business requirements into scalable, secure, and production-ready technical designs. Leverage experience with Langchain, prompt chaining, RAG patterns, agent frameworks, and other areas to support execution.
• Drive end-to-end development and deployment of AI-powered intelligence solutions, positioning Corporate Affairs at the forefront of applied AI research and analytics. Extensive experience with LLM Orchestration: Langchain, prompt chaining, RAG patterns, agent frameworks etc.
• Define and maintain architecture standards, reusable patterns, and integration approaches that enable consistent and efficient delivery across the AI portfolio.
• Partner with internal teams, such as IT and Legal, to ensure AI solutions align with enterprise technology strategy, platform standards, and other requirements.
• Design architectures that support reliability, interoperability, and reuse, enabling solutions to scale beyond individual pilots into broader functional adoption.
• Review proposed solution designs and challenge technical decisions where needed to improve feasibility, performance, maintainability, and long-term value.
• Identify and manage architectural risks, dependencies, and constraints early, helping delivery teams resolve issues before they impact timelines or production performance.
• Support the evaluation of AI platforms, tools, and external partners, providing technical guidance on fit, integration, and sustainability within the broader technology landscape.
• Ensure all architectures are designed with responsible AI, data privacy, security, and governance requirements embedded from the outset.

Essential Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field, or equivalent practical experience.
• 12-15 years of progressive experience in solution architecture, enterprise architecture, software engineering, or AI/ML delivery roles, with at least 3 years architecting production-grade AI, generative AI, or advanced analytics solutions in a corporate environment.
• Extensive experience with AI platforms or toolchains (Claude, GPT, Azure OpenAI, Langfuse, vector databases etc.)
• Proven experience designing scalable, secure, and maintainable technology solutions that integrate enterprise platforms, data sources, and business workflows.
• Hands-on familiarity with large language models, generative AI application patterns, model integration, orchestration approaches, and the technical controls required for reliable enterprise deployment.
• Strong experience defining architecture standards, reusable design patterns, and governance guardrails that support consistency, scalability, and long-term maintainability.
• Demonstrated track record of translating business requirements into practical technical architectures that enabled successful delivery and measurable business outcomes.
• Experience working across cross-functional teams including IT, security, data, legal, procurement, and business stakeholders to move solutions from design into production.
• Experience supporting or mentoring technical teams and guiding engineering decisions in a delivery-oriented environment.

Desirable Requirements:

• Relevant certifications in cloud architecture, enterprise architecture, or AI/ML platforms are an advantage.
• Experience partnering with Corporate Affairs, communications, public affairs, or other business-facing functions is preferred; understanding how these functions create and protect enterprise value is an advantage.