Senior AI Engineer

Entity: Technology Job Family Group: IT&S Group Job Description: Senior AI Engineer Summary  We’re looking for engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles.  Our Engineering & AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical and scalable ways.  We’re looking for individuals who thrive at the intersection of disciplined software development and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential.   Job Responsibilities  Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).  Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.  Participate in cross functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems.  Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.  Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment.  Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.  Stay current with emerging AI technologies, but prioritize practical application and delivery over experimental research.  Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization.   Job Qualifications  Required:  6+ years of professional software engineering experience; ability to independently design and ship complex systems in production.  Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems.  Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.  Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.