Senior Principal Engineer, Agentic AI Platform, BYO Capability

Vertex Inc.; Boston (MA); Hybrid; USD 188,000 - 282,000; Full time

Job summary

Vertex Inc. seeks a Sr. Principal AI Engineer to design, build, and optimize shared AI platform capabilities powering AI-enabled products and intelligent workflows across the enterprise.

You will enable a build/bring-your-own-agents capability and create governance standards, tooling, and reusable components to accelerate product teams deploying AI solutions at enterprise scale.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Engineering, 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 designing and delivering production-scale AI or ML platforms
• Strong experience building distributed systems, APIs, microservices, and cloud-native apps
• Experience operationalizing machine learning, generative AI, or agent-based solutions in enterprise environments
• Experience designing extensible platform capabilities for internal teams to build/integrate apps/tools/services
• Deep understanding of software engineering best practices including testing, CI/CD, version control, code review, reliability
• Deep understanding of AI-native software engineering practices and governance for AI coding assistants and agents across teams
• Experience defining architecture, standards, and reusable services for large-scale enterprises
• Experience leading complex technical initiatives and influencing architecture across teams
• Strong communication skills to explain complex concepts to varied audiences
• Balancing experimentation speed with production engineering discipline, security, and maintainability

Responsibilities

• Architect and develop shared AI/agentic platform services for enterprise AI products and workflows
• Design and implement build/bring-your-own-agents capability within the enterprise platform
• Establish reusable frameworks, SDKs, templates, interfaces, and guardrails for agent onboarding
• Define agent lifecycle capabilities including registration, configuration, testing, deployment, monitoring, and retirement
• Build robust integrations with foundation models, model gateways, APIs, and enterprise tools
• Design systems for prompt orchestration, workflow execution, tool use, memory patterns, and agent coordination
• Develop reusable frameworks for evaluation, benchmarking, and validation of AI models, agents, and workflows
• Establish observability, monitoring, tracing, logging, and alerting across AI workloads and agents
• Optimize platform performance, scalability, latency, reliability, and cost for production AI
• Partner with product, data, engineering, security and architecture teams to enable enterprise AI solutions
• Translate prototypes into hardened, production-grade services
• Define engineering standards, best practices, and patterns for AI platform development/deployment
• Support governance, risk management, and responsible AI through measures and safeguards
• Drive platform adoption via reusable components, docs, onboarding patterns, and developer enablement
• Mentor engineers and provide technical leadership across AI platform initiatives
• Evaluate emergent AI tools/frameworks to inform platform strategy

Skills

AI platform design

Distributed systems

Cloud-native

Mentoring & leadership

Communication

Education

Bachelor's degree in CS or related

Advanced degree preferred

Tools

APIs

Model gateways

CI/CD

Observability tools

Job description

Job Description

Vertex is seeking a Sr. Principal AI Engineer, Agentic AI Platform to design, build, and optimize the shared platform capabilities that power AI-enabled products and intelligent workflows across the enterprise. This role will focus on delivering production-grade platform services for model integration, prompt and workflow orchestration, evaluation, observability, performance optimization, and agent lifecycle management.

Position Summary

A key focus of this role will be enabling a build/bring-your-own-agents capability within the Agentic AI Platform, allowing teams across Vertex to create, integrate, customize, and operationalize their own agents using shared platform standards, tooling, and governance controls.

The ideal candidate combines strong software engineering fundamentals with deep experience in applied AI systems. This individual will be comfortable operating across rapid experimentation and engineering rigor, translating emerging AI capabilities into scalable, reliable, secure, and reusable platform components. The Senior Principal AI Engineer will play a critical leadership role in accelerating AI adoption across Vertex by enabling product teams to build and deploy AI solutions faster and more effectively.

Key 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

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Data Engineering, or a related technical field; advanced degree preferred


• Significant industry experience in software engineering, machine learning engineering, or AI platform development, including experience in senior or principal-level technical roles


• Proven track record designing and delivering production-scale AI or ML platforms


• Strong experience building distributed systems, APIs, microservices, and cloud-native applications


• Demonstrated experience operationalizing machine learning, generative AI, or agent-based solutions in enterprise environments


• Experience designing extensible platform capabilities that enable internal teams to build or integrate custom applications, tools, or services


• Deep understanding of software engineering best practices including testing, CI/CD, version control, code review, and system reliability


• Deep understanding of AI-native software engineering practices and experience establishing standards, governance, and best practices for the responsible use of AI coding assistants and software engineering agents across engineering teams


• Experience defining architecture, standards, and reusable services for large-scale enterprise environments


• Experience leading complex technical initiatives and influencing architecture across cross-functional teams


• Strong communication skills with the ability to explain complex technical concepts to varied audiences


• Experience balancing experimentation speed with production engineering discipline, security, and maintainability

Technical Skills Required

• AI/ML platform architecture


• Generative AI systems and large language model integration


• Agentic workflows and orchestration frameworks


• Multi-agent or autonomous agent system design


• Prompt engineering and prompt management


• Workflow orchestration and automation


• Agent lifecycle management


• Model evaluation, benchmarking, and performance measurement


• AI observability, tracing, monitoring, and logging


• API design and service integration


• Distributed systems and scalable backend engineering


• Cloud platforms and cloud-native deployment patterns


• Productionization of AI/ML services


• Reliability, latency, throughput, and cost optimization


• CI/CD pipelines and DevOps/MLOps practices


• Secure software development and enterprise platform controls

Preferred Skills

• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline


• Experience with enterprise AI platforms, developer platforms, or internal tooling ecosystems


• Experience building frameworks or platforms that support bring-your-own-component or extensible developer patterns


• Familiarity with model gateways, retrieval-augmented generation, and evaluation frameworks


• Experience implementing AI governance, responsible AI controls, and compliance-oriented technical solutions


• Knowledge of vector databases, knowledge retrieval systems, and orchestration layers for intelligent applications


• Experience in regulated industries such as biotechnology, pharmaceuticals, healthcare, or life sciences


• Strong mentoring and technical leadership experience in highly collaborative environments


• Ability to assess emerging AI technologies and translate them into practical platform capabilities

#LI-HYBRID

Pay Range:

$188,000 - $282,000

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [e-mail]