Senior AI Automation Engineer - Scalable, Governed AI

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Dentsply Sirona is the world’s largest manufacturer of professional dental products and technologies, with over a century of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands.

Dentsply Sirona’s products provide innovative, high-quality, and effective solutions to advance patient care and deliver better and safer dental care. Dentsply Sirona’s headquarter is located in Charlotte, North Carolina. The company’s shares are listed in the United States on NASDAQ under the symbol XRAY. Visit  for more information about Dentsply Sirona and its products.

Dentsply Sirona's software engineering and cloud operations team is seeking a Senior Software Engineer II to focused on AI-driven automation across one or more products, services, or platforms. This is a senior individual contributor role combining hands-on software engineering, technical expertise, and architectural influence. You will design, build, and operate AI-powered automation capabilities, collaborate across teams, and help drive responsible adoption of AI technologies through engineering best practices, governance, and operational excellence.

Responsibilities for Employment -

Technical Leadership & Delivery

Lead the technical design and implementation of AI automation initiatives within one or more epics or projects.

Collaborate with Product, UX, QA, Security, and Cloud Operations teams to deliver high-quality solutions.

Influence technical direction through architecture discussions, design reviews, and engineering best practices.

Mentor and support engineers through code reviews, technical guidance, and knowledge sharing.

Technical Implementation & Development

Design and implement AI-enabled automation workflows for parts of the software development lifecycle (requirements/story generation, documentation scaffolding, code scaffolding) within the program area.

Design and implement RAG pipelines, lightweight intelligent agents, and MCP or equivalent integrations to support engineering workflows.

Integrate AI-assisted code generation and validation into CI/CD with guardrails, automated checks, feature flags, staged rollouts and safe rollback conditions.

Ensure human-in-the-loop checkpoints, prompt and policy guardrails, provenance/traceability, and least-privilege access controls for embeddings and logs.

Prepare runbooks, dashboards and alerts; participate in incident responses and contribute to post-incident reviews for owned services.

Monitor and optimize reliability, latency, correctness and cost of AI features; manage model drift and retrieval quality metrics.

Continuously evaluate and integrate emerging AI technologies to improve developer productivity, quality and efficiency.

Governance, safety & quality

Define and enforce team-level AI governance: data handling policies, retention, access control and regulatory traceability where required.

Establish detection of metrics and validation processes to detect hallucinations, data leakage and model drift; automate tests where feasible.

Ensure delivered features include automated tests, documentation, and observability (logs, metrics, traces).

Qualifications

Education:

BS or MS in computer science or a related engineering discipline.

Years and Type of

Experience:

8+ years as a Software Engineer, Full Stack Engineer or comparable role.

Demonstrated experience leading complex technical initiatives, driving architecture decisions, and delivering production-grade software systems.

Proven track record designing and delivering…