Senior SW Engineer, AI Automation

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 production-grade systems and driving technical excellence across projects. 

• Hands-on experience integrating AI components (RAG, embeddings/vector DBs, light agents, MCP-style integrations) into engineering workflows. 

• Experience with distributed systems, APIs and service-level design. 

• Experience contributing to operational readiness, incident response, and service reliability practices. 

Key Skills, Knowledge & Capabilities: 

• Proven pragmatic system and service design skills at program scope. 

• Deep understanding of scalability, performance optimization and cost trade‑offs for AI and platform services. 

• Practical experience with cloud platforms (AWS/Azure/GCP), containerization (Docker) and exposure to Kubernetes. 

• Experience with CI/CD tooling (GitHub Actions/Jenkins/GitLab), feature-flagging, and Infrastructure-as-Code (Terraform/ARM). 

• Working knowledge of RAG pipelines, embedding stores/vector DBs, prompt engineering and retrieval-quality evaluation. 

• Strong testing and observability discipline: unit/integration tests, logging, metrics and distributed tracing. 

• Awareness of data privacy, access controls and secure handling of embeddings/logs. 

• Strong collaboration, stakeholder engagement, and communication skills with the ability to influence technical decisions across teams. 

• Excellent English communication skills (written and spoken); German advantageous. 

• Regulated-industry (medical device) experience is a plus. 

Nice to have 

• Experience integrating AI checks into CI/CD (policy checks, automated test generation, documentation synthesis). 

• Familiarity with model evaluation, offline/online metrics and A/B testing for ML features. 

• Experience with MCP or similar context-sharing protocols. 

How We Work the DS Way - Key Leadership Behaviors  

• Actively articulates and promotes Dentsply Sirona’s vision, mission and values. 

• Advocates on behalf of the customer. 

• Promotes high performance, innovation and continual improvement. 

• Consistently meets Company standards, ethics and compliance requirements. 

• Clear and effective communication with stake holders, which span across multiple levels, socio-geographic areas and functional expertise.  

The base salary and target annual incentive for this role located in Massachusetts is between $176,000 - $198,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.