Senior AI Automation Engineer
Listed on 2026-09-14
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Software Development
AI Engineer (Applied/Software), Backend Developer, Python
- Strong Python engineering skills (APIs, testing, modular design, async processing)
As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day.
If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.
Our Tax Technology team is dynamic, fast-paced and mission driven. We are building a specialist AI engineering capability within our internal tax technology function to design and deliver AI-powered agents, automated workflows, and scalable integrations across enterprise platforms. The Senior AI Automation Engineer role sits at the intersection of applied AI, software engineering, and automation. You will build production-grade AI systems, orchestrate complex workflows, and help define engineering standards, while supporting the development of early-career engineers.
This is a hands‑on engineering role focused on delivering working systems into production within a governed enterprise environment. You will see your work used quickly in real operations, with AI tools and automation adopted directly by internal tax teams. The focus is on delivering high-impact solutions, measuring outcomes, and iterating based on real-world usage.
You will make an impact by- Designing and building AI agents and multi-step workflows for internal tax use cases
- Developing Python-based services and automation pipelines for production use
- Integrating AI systems with internal platforms using APIs and event-driven architectures
- Orchestrating workflows across Copilot Studio, Azure AI / Foundry, and internal systems
- Building reusable components such as connectors, tools, and agent capabilities
- Implementing CI/CD pipelines for reliable deployment and versioning
- Ensuring solutions are scalable, observable, and maintainable in enterprise environments
- Leading technical design and code reviews
Are you someone who thrives on variety, loves learning new things, and enjoys connecting with people? If you can spot inefficiencies in everyday life and are passionate about making improvements, this role is perfect for you!
We value diverse experiences and perspectives. Here’s what we’re looking for in our ideal candidate:
- Strong systems thinking and problem-solving ability
- Comfortable in fast-evolving AI environments
- Balances experimentation with engineering discipline
- Clear communicator across technical teams
- Experience in automation or integration-heavy environments
- Experience in workflow orchestration or event-driven systems
- Experience with large-scale or high-throughput systems
- Experience in financial, tax, or regulated environments
- Experience in prompt evaluation, versioning, and AI governance
- Experience in internal platform or shared services engineering
- Strong Python engineering skills (APIs, testing, modular design, async processing)
- Experience building production-grade applications
- Comfortable working across an AI-enabled stack, with depth in some areas and willingness to grow others
- Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent)
- Understanding of agent patterns, orchestration, tool use, and LLM limitations
- Experience with REST/GraphQL APIs, authentication, and system integration
- Experience building reusable services and connectors
- MCP or similar integration patterns desirable
- Microsoft Azure…
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