Senior Principal AI Engineer
Vertex Pharmaceuticals
August 22, 2026
Remote friendly (Boston, MA)
United States
IT
Key Responsibilities
- Build/bring-your-own-agents capability: frameworks, SDKs, templates, interfaces, and guardrails to create, integrate, customize, and operationalize agents on shared platform standards.
- Deliver platform services for model integration, prompt/workflow orchestration, tool use, memory patterns, and agentic task coordination.
- Enable agent lifecycle management: registration, configuration, testing, deployment, versioning, monitoring, retirement; evaluation/benchmarking frameworks.
- Own developer experience: self-service onboarding, documentation, reference implementations, enablement resources.
- Provide standards/technical leadership for safe, reliable, supportable custom agents (platform APIs, architecture patterns, engineering practices).
- Build integrations with foundation models, model gateways, APIs, and enterprise tools; implement observability, monitoring, tracing, logging, and alerting.
- Optimize performance, scalability, latency, reliability, and cost; translate prototypes into production-grade services; support governance/responsible AI via technical safeguards.
Required Qualifications
- BS (CS/SE/ML/Data Eng or related); advanced degree preferred.
- Senior/principal-level experience; proven delivery of production-scale AI/ML platforms.
- Strong distributed systems, APIs/microservices, cloud-native experience; operationalizing generative AI/agents in enterprises.
- Deep software engineering best practices (testing, CI/CD, reliability).
- Experience defining enterprise architectures/standards and leading cross-functional initiatives; communicate effectively.
Technical Skills Required
- AI/ML platform architecture; LLM integration; agentic workflows/orchestration; multi-agent systems; prompt management; evaluation/benchmarking; AI observability; API/service integration; distributed systems; cloud-native deployment; CI/CD/MLOps; security/controls.
Preferred Skills
- Advanced degree; enterprise AI/developer platforms; BYOC/extensible patterns; strong developer experience; model gateways/RAG; AI governance/compliance; vector/knowledge retrieval/orchestration layers; regulated-industry experience; mentoring/leadership; assess emerging AI tech.
Pay Range
- $188,000 - $282,000
- Build/bring-your-own-agents capability: frameworks, SDKs, templates, interfaces, and guardrails to create, integrate, customize, and operationalize agents on shared platform standards.
- Deliver platform services for model integration, prompt/workflow orchestration, tool use, memory patterns, and agentic task coordination.
- Enable agent lifecycle management: registration, configuration, testing, deployment, versioning, monitoring, retirement; evaluation/benchmarking frameworks.
- Own developer experience: self-service onboarding, documentation, reference implementations, enablement resources.
- Provide standards/technical leadership for safe, reliable, supportable custom agents (platform APIs, architecture patterns, engineering practices).
- Build integrations with foundation models, model gateways, APIs, and enterprise tools; implement observability, monitoring, tracing, logging, and alerting.
- Optimize performance, scalability, latency, reliability, and cost; translate prototypes into production-grade services; support governance/responsible AI via technical safeguards.
Required Qualifications
- BS (CS/SE/ML/Data Eng or related); advanced degree preferred.
- Senior/principal-level experience; proven delivery of production-scale AI/ML platforms.
- Strong distributed systems, APIs/microservices, cloud-native experience; operationalizing generative AI/agents in enterprises.
- Deep software engineering best practices (testing, CI/CD, reliability).
- Experience defining enterprise architectures/standards and leading cross-functional initiatives; communicate effectively.
Technical Skills Required
- AI/ML platform architecture; LLM integration; agentic workflows/orchestration; multi-agent systems; prompt management; evaluation/benchmarking; AI observability; API/service integration; distributed systems; cloud-native deployment; CI/CD/MLOps; security/controls.
Preferred Skills
- Advanced degree; enterprise AI/developer platforms; BYOC/extensible patterns; strong developer experience; model gateways/RAG; AI governance/compliance; vector/knowledge retrieval/orchestration layers; regulated-industry experience; mentoring/leadership; assess emerging AI tech.
Pay Range
- $188,000 - $282,000