Senior SW Engineer, AI Automation

About the role

• Senior SW Engineer, AI Automation
• Apply now »
• Date: Oct 27, 2026
• Location: Waltham, MA, US, 2451

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.

Pay and benefits

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.