Overview
Lead a large engineering organization delivering tax technology applications and AI/ML solutions for PwC's US clients, working within the Acceleration Center India as a Technical Engineering Director.
What you'll do
- Lead an initial team of 30+ engineers across multiple tax technology applications, with scope to grow
- Design and implement end-to-end solution architectures for large-scale platforms
- Stay close enough to the work to guide architecture, review critical designs and code paths, troubleshoot high-severity issues, and pair with engineers on the most complex problems
- Own technical decisions locally, including architecture, tooling, patterns, and trade-offs
- Drive engineering quality in partnership with US colleagues: code review standards, testing practices, deployment reliability
- Partner with US portfolio leadership (Directors, Senior Managers) on roadmap execution
- Mentor and develop senior engineers and managers on your team
- Identify and address technical debt, performance bottlenecks, and scalability gaps
- Own operational excellence for your portfolio: uptime, incident response, release reliability, and support burden reduction
- Establish and maintain regular operational reporting (production health, delivery velocity, quality metrics, technical debt) for US leadership
- Champion modern engineering practices: CI/CD, infrastructure as code, observability
- Drive AI adoption across your team: AI-assisted development workflows, LLM integration, agentic automation
- Evaluate and implement AI/ML capabilities that improve delivery speed, accuracy, or client outcomes
- Build your team's fluency with AI tools (coding assistants, test generation, automated review)
What you'll need
- Bachelor's Degree in Computer Science, Engineering, or related field
- 18+ years of software engineering experience with progressive technical leadership
- Proven ability to lead teams of 30+ engineers across multiple workstreams
- Strong hands-on skills: you can still architect, code, debug, and deploy
- Experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
- Deep understanding of microservices, event-driven architecture, and API design
- Experience with .NET/C#, modern JavaScript/TypeScript, or Python at enterprise scale
- Track record of improving engineering quality, velocity, and team capability
- Excellent communication with both technical teams and business stakeholders
- Experience working in distributed/global team models (US + India collaboration)
Nice to have
- Experience building or integrating AI/ML systems in production (LLMs, agentic workflows, RAG, embeddings)
- Hands-on experience with AI-assisted development tools and workflows
- Experience in financial services, tax technology, or regulatory compliance domains
- Experience transforming teams from staff-augmentation to autonomous delivery
- Familiarity with Azure DevOps, agile delivery practices at scale
Details
Read the full description and apply on the company’s own careers page.