Director, Product Software Engineering - Firm Intelligence (wk)

Job Description

DXG Tax & Accounting North America is seeking an exceptional Software Engineering Director to lead our groundbreaking initiative in integrating generative AI capabilities into our CCH Axcess product suite. This senior-level position will spearhead the development and implementation of an AI orchestration infrastructure, potentially leveraging Microsoft Semantic Kernel and its plugins, to create a cutting-edge tax market centric AI experience integrated with CCH Axcess, Office 365, and potentially other products. The ideal candidate will bring a blend of technical expertise, strategic vision, cross-functional collaboration and strong leadership skills to drive innovation and deliver high-impact results for Tax & Accounting.

Key Responsibilities

• Lead the development of a scalable and robust AI orchestration infrastructure
• Develop and implement an architecture and delivery strategy for Firm Intelligence, ensuring scalability, performance, and resilience
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• Lead the formation and management of a development team, including both US and India-based staff, contractors, and FTEs
• Design and oversee the integration of the AI orchestrator and any of its plugins with existing products and systems
• Bootstrap and collaborate with product teams and User Experience teams to create and implement plugins for CCH Axcess, Office 365, and other relevant applications
• Establish best practices, coding standards, and development processes aligned with SAFe Agile principles
• Mentor and guide team members, fostering a culture of innovation and continuous learning
• Coordinate with cross-functional teams to align development efforts with overall business objectives

• Manage the transition of plugin ownership to respective application/product teams over time
• Stay abreast of the latest developments in AI and machine learning technologies, particularly in the field of generative AI
• Collaborate fundamentally with the DXG AIML Center of Excellence to optimize governance approaches for the enterprise
• Work closely with GBS and CIO teams to implement relevant, scalable operational and security practices
• Ensure all development efforts align with enterprise-wide AI governance and security standards
• Manage dependencies across multiple teams and projects, ensuring smooth execution and delivery
• Drive the delivery of highly resilient, available transactional applications at scale

Qualifications

• Bachelor’s or master's degree in Computer Science, Software Engineering, or a related field; Ph.D. preferred
• 12+ years of software development experience, with at least 8 years in a senior role
• Proven track record of successfully delivering complex, large-scale software projects in enterprise environments
• Experience with .NET framework, C# programming language, Azure, and cloud-native architectures
• Understanding of Microsoft Semantic Kernel, Azure AI services, and plugin architectures
• Strong background in software architecture principles, design patterns, and microservices architecture
• Exceptional problem-solving skills and ability to think strategically and creatively
• Outstanding communication and interpersonal skills, with the ability to influence and collaborate across all levels of the organization
• Extensive experience with SAFe Agile methodologies and DevOps practices
• Proven ability to build, lead, and manage high-performing, diverse technical teams across multiple locations and employment types
• Strong project management skills, including dependency management and risk mitigation
• Experience in delivering highly resilient, available transactional applications at scale

Preferred Skills

• Experience with natural language processing (NLP) and large language models (LLMs)
• Familiarity with CCH Axcess, Office 365, or similar enterprise software ecosystems
• Experience with API design and management in large-scale distributed systems
• Background in developing AI-powered solutions for business applications
• Experience collaborating with enterprise-level teams on large-scale technology initiatives
• Knowledge of regulatory compliance requirements in the context of AI and data management