At Ally, you get a startup feel, but experience the benefits of a company that has worked out the kinks and is fulfilling its purpose. We are always evolving and see that as a good thing. From owning our work to seeing its impact in the real world, our team is relentless in finding new ways technology can help make experiences better and help people. We are problem solvers, we value diverse thinking, we support one another, and we challenge ourselves to think bigger in the journey to deliver customer-obsessed tech solutions. To read more about what our tech team does, be sure to visit our tech blog at ally.tech. We are seeking a hands-on Principal Software Engineer to lead the design and delivery of enterprise-scale business automation and AI solutions. This role will identify high-value automation opportunities, architect intelligent workflows, and build secure, scalable platforms that combine software engineering, cloud-native architecture, RPA, APIs, and generative AI to drive measurable business impact. As a principal-level engineer, you will provide technical leadership across strategy, architecture, implementation, and operational excellence while mentoring teams and shaping engineering standards for AI-enabled automation across the enterprise. At this time, Ally will not sponsor a new applicant for employment authorization for this position. The Work Itself Lead the architecture and delivery of enterprise automation solutions spanning workflow orchestration, RPA, APIs, event-driven integration, and AI-powered decisioning. Design and implement intelligent automation capabilities using large language models, agent-based patterns, document intelligence, and retrieval-augmented solutions where appropriate. Partner with business, product, risk, and engineering stakeholders to identify high-value opportunities, define solution approaches, and prioritize use cases based on ROI, feasibility, and speed to value. Establish scalable engineering patterns for automation platforms, including reusable services, APIs, observability, resiliency, security controls, and CI/ CD practices. Guide end-to-end implementation from proof of concept to production, including architecture reviews, code quality, deployment, monitoring, and operational support. Drive responsible AI and automation practices by incorporating governance, evaluation, security, compliance, and human-in-the-loop controls into production solutions. Mentor engineers, influence technical direction across teams, and raise the bar on software design, delivery excellence, and measurable business outcomes. The Skills You Bring Minimum Qualifications:7 years of relevant experience. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications: 8 years of software engineering experience, including deep expertise in designing and delivering large-scale enterprise applications and platforms. Strong hands-on experience with automation engineering, workflow orchestration, API development and integration, and cloud-native solution development. Strong proficiency in modern programming languages, with particular depth in Python and Java, and solid software design, coding, and integration fundamentals for enterprise-grade applications and services. Experience building and integrating AI-enabled solutions, including LLM-based workflows, prompt orchestration, intelligent document and process automation, and practical usage of AI coding tools to accelerate development, code generation, refactoring, and engineering productivity. Strong experience with cloud platforms such as AWS or Azure and modern architectural patterns including micro-services, serverless, messaging, and event-driven systems. Proven ability to establish engineering standards for testing, CI/ CD, observability, resiliency, and secure software delivery in regulated or enterprise environments. Experience influencing technical direction across multiple teams and translating complex business problems into scalable engineering solutions. Excellent communication and stakeholder management skills, with the ability to explain architecture, tradeoffs, and delivery plans to technical and non-technical audiences. Highly Preferred: Experience with enterprise automation platforms such as Robocorp, UiPath, Automation Anywhere, or equivalent workflow and orchestration technologies. Hands-on experience with agentic workflows, RAG patterns, vector stores, model evaluation, and guardrail strategies for production AI systems. Experience with Infrastructure as Code, API design and lifecycle management, and platform engineering practices that enable reusable automation capabilities across teams. Hands-on experience using AI coding tools such as GitHub Copilot, Claude, or similar assistants to improve developer velocity, code quality, documentation, testing, and solution prototyping. Familiarity with business process optimization, operational analytics, and value measurement to quantify automation and AI outcomes. Prior experience in financial services or other highly regulated industries is a plus.#LI-Hybrid