Principal Engineer - Data Engineering - Gen AI

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• End‑to‑end data platform architecture
• AI/LLM solution design (RAG, agents, fine‑tuning)
• Cloud-scale engineering + distributed systems
• High coding proficiency in Python/Scala/SQL
• Security, governance, and enterprise AI controls
• Ability to drive technical vision, architecture, and execution
• Define and own end-to-end architectural blueprints, reference designs, and standards across software, hardware, and cloud platforms along with applications modernization and rationalization
• Act as a torchbearer for AI-driven development, including experience with AI, Gen AI, Agentic automation solutions design and development
• Experience building and maintaining microservices using Spring Boot, with well-defined APIs and service contracts
• Ability to define and enforce engineering standards, reference architectures, and best practices across teams
• Translate near-term technical issues into long-term architectural improvements
• Partner closely with Product Management to understand end-user needs, behaviors, and pain points, translating feedback into engineering requirements
• Mentor and coach engineers across the organization, raising the bar for technical excellence
• Oversee development of applications, automations, and integrations that enhance productivity
• Establish and enforce best practices for SDLC, code quality, API design, and system integration
• Accelerate engineering velocity through improved tooling, processes, and architectural patterns