Principal Software Engineer (AI) ( US)
PointClickCareabout 22 hours ago
New York, NY, USA or Remote, United States
Staff+
H1B Sponsor
Responsibilities
- Lead the reference architecture for AI and agentic systems within key product domains.
- Design and deliver production-ready AI systems ensuring reliability and scalability.
- Establish platform-level AI and data components, including model brokers and orchestration services.
- Lead the design of end-to-end AI data pipelines for various data processing tasks.
- Partner with data and analytics teams to align AI solutions with measurable outcomes.
- Help product teams transition from problem framing to AI-enabled solutions.
- Contribute to innovation by evaluating emerging AI tools and frameworks.
- Ensure all AI solutions are production-grade with strong observability and incident response practices.
- Mentor and coach engineers to elevate AI and data engineering capabilities.
- Drive adoption of shared AI and data best practices across teams.
Requirements
- Proven experience leading and delivering production AI systems across multiple engineering teams.
- Strong background in AI engineering with a data-first mindset.
- Hands-on experience with modern AI/agent frameworks such as LangChain or equivalent.
- Deep understanding of RAG and agentic architectures.
- Experience designing evaluation methodologies tied to product metrics.
- Experience implementing security by design and responsible AI practices in regulated environments.
- Preferred: Experience deploying AI systems in healthcare or regulated industries.
- Preferred: Familiarity with model serving infrastructure and multi-model routing.
- Preferred: Experience partnering with Product Management to deliver AI-enabled capabilities.
- Preferred: Master's degree in Artificial Intelligence, Computer Science, or related field.
Benefits
- Benefits starting from Day 1.
- Retirement Plan Matching.
- Flexible Paid Time Off.
- Wellness Support Programs and Resources.
- Parental & Caregiver Leaves.
- Fertility & Adoption Support.
- Continuous Development Support Program.
- Employee Assistance Program.
- Allyship and Inclusion Communities.
- Employee Recognition.
Categories
AI & MLData Engineering