Senior AI Platform Architect — Agentic BYO & Orchestration

Vertex Pharmaceuticals; Boston (MA); On-site; USD 188,000 - 282,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid time off

Equity/stock grants

Job summary

Vertex Pharmaceuticals seeks a Sr. Principal AI Engineer to design, build, and optimize the agentic AI platform powering enterprise AI products and workflows.

You will deliver production-grade services for model integration, prompt orchestration, evaluation, observability, and agent lifecycle management. The role emphasizes building a BYO-agent capability, reusable frameworks, and governance controls to scale AI across product teams, with leadership responsibilities guiding architecture and best

Qualifications

• Bachelor’s degree in CS/SE/ML or related field; advanced degree preferred.
• Significant industry experience in software engineering, machine learning engineering, or AI platform development, including senior or principal-level roles.
• Proven track record delivering production-scale AI or ML platforms.
• Experience designing extensible platform capabilities for internal teams.
• Strong understanding of CI/CD, testing, version control, and system reliability.

Responsibilities

• Architect and develop shared AI/agentic platform services that support enterprise AI products and internal workflows.
• Design and implement a build/bring-your-own-agents capability that enables teams to create, register, integrate, deploy, and manage their own agents within the enterprise agentic platform.
• Establish reusable frameworks, SDKs, templates, interfaces, and guardrails that standardize how custom agents are built and onboarded onto the platform.
• Define agent lifecycle capabilities including agent registration, configuration, testing, deployment, monitoring, versioning, and retirement.
• Build and maintain robust integrations with foundation models, model gateways, APIs, enterprise tools, and related AI infrastructure.
• Design and implement systems for prompt orchestration, workflow execution, tool use, memory patterns, and agentic task coordination.
• Develop reusable frameworks and services for evaluation, benchmarking, and validation of AI model, agent, and workflow performance.
• Establish platform capabilities for observability, monitoring, tracing, logging, and alerting across AI workloads and autonomous agent interactions.
• Optimize platform performance, scalability, latency, reliability, and cost efficiency for production AI and agentic systems.
• Partner with product, data, engineering, security, and architecture teams to enable enterprise-ready AI solutions.
• Translate prototypes and experimental concepts into hardened, maintainable, production-grade services.
• Define engineering standards, best practices, and design patterns for AI platform development and deployment.
• Support governance, risk management, and responsible AI practices through measurable controls, policy enforcement, and technical safeguards for agent behavior.
• Drive platform adoption by creating reusable components, documentation, onboarding patterns, and developer enablement resources.
• Mentor engineers and provide technical leadership across AI platform initiatives.
• Evaluate emerging tools, frameworks, and architectural patterns in generative AI and agentic systems to inform platform strategy.

Skills

AI/ML platform architecture

Generative AI systems integration

Agentic workflows orchestration

Multi-agent system design

Prompt engineering

Workflow orchestration

Agent lifecycle management

Model evaluation & benchmarking

Observability & monitoring

API design

Distributed systems

Cloud-native deployment

Productionization of AI services

DevOps/MLOps practices

Secure software development

Education

Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Engineering, or related field

Job description

Vertex Pharmaceuticals seeks a Sr. Principal AI Engineer to design, build, and optimize the agentic AI platform powering enterprise AI products and workflows.

You will deliver production-grade services for model integration, prompt orchestration, evaluation, observability, and agent lifecycle management. The role emphasizes building a BYO-agent capability, reusable frameworks, and governance controls to scale AI across product teams, with leadership responsibilities guiding architecture and best