Requistion ID: 84236
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).
QualificationsEducation:
- 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.
