EY-Parthenon - Strategy and Execution - Growth Platforms - Software Engineering - Director

About the role

EY-Parthenon’s unique combination of transformative strategy, transactions, and corporate finance delivers real-world value. This role sits at the intersection of engineering excellence, applied AI, and business impact.

Responsibilities

• Lead the design and delivery of production-grade software systems and AI-enabled tooling that underpin high-visibility client engagements and internal platforms.
• Own architectural decisions, development standards, and technical direction across multiple workstreams.
• Architect, build, and scale core software platforms that integrate data, AI services, and user-facing applications.
• Lead the development of AI-enabled tools, including decision support systems, copilots, internal developer tools, and domain-specific agents.
• Design and maintain robust service architectures (APIs, event-driven systems, batch and real-time pipelines) optimized for reliability, security, and extensibility.
• Establish engineering best practices across code quality, testing, CI/CD, observability, and performance.
• Collaborate with AI/ML engineers to productionize models and agents, ensuring seamless integration into real-world workflows.
• Partner directly with business leaders and C-suite executives to translate strategic objectives into scalable technical solutions.
• Mentor senior engineers and technical leads, fostering a culture of ownership, craftsmanship, and continuous improvement.

Requirements

• A bachelor’s degree in Computer Science, Engineering, or a related technical field and 5+ years of professional engineering experience; or a graduate degree and approximately 3+ years of relevant experience.
• Demonstrated experience in senior software engineering, platform engineering, or technical leadership roles.
• Strong proficiency in modern software development practices, including APIs, distributed systems, and cloud services.
• Hands-on experience deploying AI-enabled applications or tooling into production environments.
• Comfort operating in fast-paced, client-facing environments with evolving requirements.

Qualifications

• Experience working in management consulting, product-led organizations, or high-growth startups.
• Familiarity with modern AI ecosystems, including LLM frameworks, agent architectures, and prompt/tool orchestration.
• A strong product mindset—understanding not just how to build systems, but how they will be adopted and sustained.
• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.

Skills and attributes for success

• Strong engineering judgment, fluency in modern AI tooling, and the ability to operate comfortably across strategy and execution.
• Lead development of backend and full-stack systems using modern languages and frameworks (e.g., Python, Java, Scala, TypeScript).
• Design and manage cloud-native architectures on platforms such as AWS or GCP, using containerization and infrastructure-as-code.
• Build AI-ready application layers that integrate LLMs, retrieval systems, vector databases, and model orchestration frameworks.
• Develop internal tooling and developer platforms that improve velocity, reliability, and reuse across teams.
• Define and enforce standards for security, privacy, reliability, and compliance (e.g., SOC2, HIPAA, enterprise governance).
• Translate ambiguous business problems into concrete system designs and incremental delivery plans.
• Communicate complex technical concepts clearly to nontechnical stakeholders.