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$188k–$282k/yr
Full-time
bachelor degree, postgraduate degree
Medical insurance, Dental insurance, Vision insurance, Paid time off, Summer company shutdown, Winter company shutdown
Posted 7d ago
~40 hrs/week
Responsibilities
The Senior Principal AI Engineer will architect and develop shared platform services to enable the creation, integration, and management of agentic AI solutions across the enterprise. This role involves establishing reusable frameworks, SDKs, and governance controls to accelerate AI adoption while ensuring production-grade reliability and performance.
Requirements
Candidates must possess significant industry experience in software or AI platform engineering with a proven track record of delivering production-scale systems. A bachelor's degree in a technical field is required, with a deep understanding of distributed systems, generative AI, and enterprise-level software engineering best practices.
Full job description
Job Description
Vertex is seeking aSeniorPrincipal AI Engineerto design, build, and optimize the shared platform capabilities that power AI-enabled products and intelligent workflows across the enterprise.Working within the Agentic AI Platform team, thisrole will focus on delivering production-grade platform services for model integration, prompt and workflow orchestration, evaluation, observability, performance optimization, and agent lifecycle management.
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
Build/bring-your-own-agents capability (primary focus): the frameworks, SDKs, templates, interfaces, and guardrails that let teams across Vertex create, integrate, customize, and operationalize their own agents on shared platform standards
Platform services: model integration, prompt and workflow orchestration, tool use, memory patterns, and agentic task coordination that other teams build against
Agent lifecycle and quality: registration, configuration, testing, deployment, versioning, monitoring, and retirement, plus the evaluation and benchmarking frameworks behind them
Developer experience: self-service onboarding, documentation, reference implementations, and enablement resources that shorten the path from idea to production
Standards and technical leadership: platform APIs, service contracts, architecture patterns, and the engineering practices that keep custom agents safe, reliable, and supportable
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
Own thedeveloper experiencefor the platform, delivering intuitive self-service onboarding, SDKs, CLIs, sandbox environments, reference implementations, and clear documentation that let builders move from idea to production quickly
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
Demonstrated focus on developer experience, including designing self-service onboarding, SDKs, CLIs, sandboxes, templates, and documentation that reduce friction and accelerate time-to-first-deploymentfor internal builders
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 ApplicationAssistance@vrtx.com
Vertex is the Decision-to-Defense™ global indirect tax and compliance company.
We help enterprises control indirect tax and compliance across the transaction lifecycle-so outcomes can be proved and improved with confidence. Our purpose is to ensure businesses and communities thrive through trusted transactions.
Global compliance now lives inside the transaction. So does Vertex-helping enterprises prove outcomes from determination to defense.
Offices: 2301 Renaissance Blvd, King of Prussia, PA 19406, US · 40 Shuman Blvd., Suite 218, Naperville, IL 60540, US · 1 Furzeground Way, Stockley Park, Stockley Park, Uxbridge UB11 1EZ, GB · 101 Arthur Andersen Parkway, Suite 300, Sarasota, FL 34232, US · Gustav Mahlerplein, Amsterdam, North Holland 1082, NL
taxtransaction taxindirect taxtax compliancesoftwareVATvalue added taxsales and usemanaged servicesreturns outsourcing
How many Healthcare jobs are open in Boston, MA right now?
There are currently 4,574 open healthcare positions in Boston, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Healthcare roles in Boston, MA?
Companies currently hiring include Mass General Brigham, BOSTON MEDICAL CENTER, BOSTON, Anna Jaques Hospital, Vertex Inc., CVS Health, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Healthcare jobs in Boston, MA?
Yes — 1351 of the 4574 open healthcare positions offer remote or hybrid work (328 remote, 1023 hybrid).
How do I apply for Healthcare jobs in Boston, MA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.