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Principal Architect
Location
United States
Posted
3 days ago
Salary
0
Seniority
Lead
Job Description
Principal Architect
Sutherland
• Experience building agentic harnesses from scratch, including capabilities such as tool use, multi-step chaining, reasoning, streaming, skills, multimodal integration, RAG, sandboxing, and state management. • Experience designing, building, and operating production APIs and services, including RESTful APIs, streaming APIs, asynchronous workflows, service boundaries, versioning, authentication/authorization, error handling, and backward compatibility. • Strong judgment around when to use synchronous APIs, event-driven architectures, queues, background jobs, or streaming protocols based on latency, reliability, scalability, and user experience requirements. • Demonstrated ownership of production systems, including process improvements, roadmap contributions, defect resolution, uptime and availability monitoring, and operational reliability. • Strong backend engineering fundamentals, with comfort working across service design, APIs, batch workflows, orchestration, observability, and production support. • Familiarity with evaluation techniques such as creating and maintaining evaluation datasets, running offline regression evals, monitoring online production performance, rubric-based scoring, self-verification, human-in-the-loop review, AI-as-judge methods, and quality/reliability analysis at scale. • Clear understanding of foundational machine learning and statistical concepts, including sampling, statistical significance, overfitting/underfitting, precision and recall, and quality tradeoff analysis. • Experience building and orchestrating large-scale batch workflows that use foundation models, including LLMs and VLMs, as well as pretrained open-source models and deep learning models. • Ability to design systems that safely and reliably automate meaningful enterprise workflows using non-deterministic AI components. • Strong judgment around reliability, failure handling, observability, human review, and operational safety. • Deep understanding of how to make systematic tradeoffs between quality, reliability, latency, cost, explainability, and user experience in complex AI systems. • Ability to design pragmatic architectures that balance innovation with production readiness. • Comfort working in environments where model behavior is non-deterministic and system design must account for uncertainty, evaluation, monitoring, and graceful failure. • Experience with both lexical and embedding-based search methods. • Ability to reason about relevance, ranking, latency, recall, precision, indexing strategy, and retrieval performance. • Experience working with foundation models and open-source LLMs beyond simple API calls. • Familiarity with lower-level model behaviors and controls, including temperature, top-p sampling, logprobs, confidence scoring, prompting strategies, and model selection tradeoffs. • Comfort and willingness to build front-end experiences using JavaScript/TypeScript and frameworks such as React. • While the role is primarily backend and AI systems focused, the ability to contribute to user-facing product experiences is important. • Willingness to work across the stack and own the end-to-end product experience is essential. • Familiarity with tools such as FFmpeg, OpenCV, or similar media-processing libraries is a plus.
Job Requirements
- 7+ years of a programming languages such as Java, Golang, Python, JavaScript
- 2+ years of experience architecting, designing, and optimizing search and information retrieval systems at scale.
- 6 months to 1 year of hands-on experience building agentic products or solutions, including tool-using agents, conversational agents, long-running agents, reasoning/planning agents, or similar systems.
- Experience with multiple modern agent frameworks is preferred.
- 1+ year of experience evaluating AI systems for quality, reliability, and safety at scale.
- 5+ years of experience shipping production software in an enterprise or consumer environment, not just prototypes or proofs of concept.
- OpenSearch or Elasticsearch experience is preferred, but comparable experience with other search and retrieval systems is sufficient.
- Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
- Experience working with video, rich visual media, or multimodal AI systems.
- Strong knowledge of industry trends and best practices
- Strong experience with the C4 model and other traditional design artifacts
- Experience working in an Agile environment
Benefits
- All your information will be kept confidential according to EEO guidelines.
- EEOC and Veteran Documentation
- During employment, employees are treated without regard to race, color, religion, sex, national origin, age, marital or veteran status, medical condition or handicap, or any other legally protected status.
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