Top 2172 Associate principal engineer, delivery Jobs in Boston, Ma

Senior Principal AI Engineer
Vertex Pharmaceuticals —Boston, MA
- $188,000 - $282,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Continuous improvement
- Loan repayment program
- Health insurance
12d
Senior Principal Systems Engineer
General Dynamics Mission Systems, Inc —Dedham, MA
- $192,113 - $202,619 a year
- Full-time
- Master's degree
- 8 years
- Continuous improvement
- Paid parental leave
- Parental leave
Associate Principal Engineer, Delivery
Nagarro —Boston, MA
- 8 years
- Budgeting
- Senior level
Quick Apply
Delivery Driver/Courier
US Pack Med LLC. —Boston, MA
- Travel
- Entry level
7d
Independent Contractor Delivery Courier
Empire Line Logistics —Boston, MA
- $250 - $600 a day
- Full-time
- Dedicated
- Clean driving record
- Local
Quick Apply
Associate Software Engineer - Search & Discovery
America's Test Kitchen —Boston, MA
- $95,000 - $105,000 a year
- Full-time
- Computer science
- Communication skills
- Entry level
Quick Apply
Principal Data Engineer
Beacon Biosignals —Boston, MA
- $190,000 - $210,000 a year
- Remote
- System design
- SQL
- Neurology
- Paid time off
Quick Apply
12d
Principal Delivery Consultant, Amazon Connect Center of Delivery Excellence
Amazon Web Services, Inc. —Boston, MA
- $182,800 - $272,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- AD&D insurance
- Health insurance
Principal Signal Processing Engineer - Cardiac Ablation Solutions
Medtronic —Newton, MA
- $152,800 - $229,200 a year
- Full-time
- Office
- 3 years
- Master's degree
- Health savings account
- Employee stock purchase plan
Principal Packaging Engineer
Velaura —Boston, MA
- $200,000 - $500,000 a year
- Full-time
- Senior level
- Health insurance
- Dental insurance
Quick Apply
7d
Interim Director of Labor and Delivery
Jackson Healthcare —Boston, MA
- $221,000 - $234,000 a year
- Contract
- Nursing
- RN License
- Hospital
- Health insurance
- Dental insurance
Quick Apply
7d
Road Driver - TForce Freight - Free Employee Healthcare! $0.7071 - $0.8057, No Touch Freight, Home Daily, Non-Contributory Pension
TForce Freight —North Reading, MA
- $33.90 an hour
- Weekends as needed
- Hazmat Endorsement
- No touch freight
- English
- 401(k)
- Paid time off
Box Truck Owner Operator – Opportunity for Team
J.B. Hunt —Boston, MA
- Call employer
- Background check
- Owner-operator
- English
CDL-A Dedicated Truck Driver: Home Weekly & $2,500 Sign On Bonus
U.S. Xpress —Waltham, MA
- $0.73 - $0.76 per mile
- Full-time
- Dedicated
- DOT physical examination
- Pass drug screening
- AD&D insurance
- Employee stock purchase plan
Quick Apply
Roll-Off Driver
Recyleworks —East Weymouth, MA
- $28 - $32 an hour
- Full-time
- CDL B
- Clean driving record
- Customer service
- Paid training
- Health savings account
Quick Apply
Truck Driver - Tanker
J&S Transport Co., Inc. —Lynn, MA
- $85,000 - $110,000 a year
- Overtime
- Hazmat Endorsement
- DOT physical examination
- Pass drug screening
- Paid training
- Disability insurance
Quick Apply
CDL A Truck Driver Team $140k to $160k per driver
R+L Carriers —Boston, MA
- $140,000 - $160,000 a year
- Full-time
- Clean driving record
- Hazmat Endorsement
- DOT physical examination
- Paid holidays
- Health insurance
Wholesale Delivery Driver
Butternut Bakehouse —Belmont, MA
- $35 a day
- Contract
- Driver's License
- Bakery
- In-person
Quick Apply
5d
Wholesale Delivery Driver
Butternut Bakehouse —Belmont, MA
- $35 a day
- Contract
- Driver's License
- Bakery
- In-person
Quick Apply
5d
Home Weekly Class A CDL Truck Driver - Flatbed
Western Express —Marlborough, MA
- Up to $0.75 per mile
- Urgently hiring
- No experience needed
- CDL A
- Flatbed truck
- Health insurance
- Dental insurance
Quick Apply

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associate principal engineer, delivery jobs near boston, ma

Senior Principal AI Engineer

Vertex Pharmaceuticals -
Boston, MA

Apply Now

Job Details

Full-time
$188,000 - $282,000 a year
12 days ago

Benefits

Loan repayment program
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Vision insurance
401(k) matching

Qualifications

AI models
Financial forecasting
Software engineering
Budget control
Enterprise software
IT system monitoring
System performance optimization
Generative models
System design
Security architecture risk management
Engineering process optimization
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Scalable systems
Enterprise software systems development
Infrastructure architecture design
System design for system development
Reducing cloud infrastructure costs
Quality performance measurement
Production systems
Policy & process development
Machine intelligence
Model deployment
Systems engineering
Leading team collaboration initiatives
APIs
Scalability
Security architecture implementation
Capacity planning
Financial management

Full Job Description

Job Description

Vertex is seeking a Senior Principal AI Engineer to define and build the foundational enterprise AI platform that powers intelligent applications across the enterprise. This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks, evaluation systems, and platform architecture.

In addition to building out the core platform, this engineer will own the vision and day-to-day operations of a centralized AI Gateway / Control Plane / Control Tower that enables agent monitoring, observability, policy enforcement, governance, and operational controls across AI solutions at Vertex. This is a highly strategic and hands-on role for an experienced AI engineer who is excited to shape enterprise AI architecture, standards, and long-term technical direction.

Key Responsibilities

Agentic AI platform : the shared architecture, services, and reusable capabilities that make it faster and safer to build AI-powered applications across Vertex

AI Control Tower operations: standing up and running the centralized control plane for agent monitoring, observability, telemetry, policy enforcement, guardrails, usage analytics, and auditability

Own the strategy, architecture, implementation, and day-to-day operation of the centralized AI Gateway / Control Tower as the enterprise control point for model access, routing, governance, cost management, and operational oversight

Intelligent model routing, provider abstraction, fallback, failover, rate limiting, and workload optimization across approved models

AI FinOps, including token and consumption visibility, budgeting, chargeback/ showback , cost allocation, forecasting, and model-cost optimization

Centralized guardrails for content safety, prompt-injection defense, data-loss prevention, sensitive-data handling, and responsible AI policy enforcement

Identity, access, security, privacy, regulatory compliance, and lifecycle governance controls for models, agents, tools, and AI interactions

End-to-end observability, telemetry, quality monitoring, latency and reliability metrics, incident response, and operational health management

Usage analytics, immutable audit trails, policy evidence, risk reporting, and executive-level transparency across the enterprise AI estate

Model onboarding, approval, versioning, deprecation, resiliency, capacity management, and third-party provider governance

Retrieval and knowledge systems: RAG pipelines, vector search, document retrieval, and the grounding patterns that make enterprise content usable by agents

Agent lifecycle and quality: deployment, versioning, evaluation frameworks, reliability measurement, and continuous improvement of agents in production

Standards and technical leadership: platform APIs, service contracts, architecture patterns, and the engineering practices other teams build against

Define the technical vision, architecture, and roadmap for Vertex’s enterprise agentic AI platform

Design and build reusable platform services that accelerate development of safe, reliable, and scalable AI-powered applications

Lead architecture and implementation for RAG pipelines, knowledge retrieval systems, prompt workflows, tool use, and agent orchestration

Establish core frameworks for agent lifecycle management, including deployment, monitoring, observability, evaluation, and continuous improvement

Develop scalable infrastructure patterns for enterprise AI workloads, including model integration, data access, and orchestration services

Partner closely with product, engineering, data, security, and UX teams to deliver common AI platform capabilities that support multiple use cases across Vertex

Establish best practices for AI reliability, evaluation, safety, and performance measurement

Drive technical standards for platform APIs, service contracts, architecture patterns, and reusable components

Evaluate emerging technologies, frameworks, and vendors in the AI/agentic ecosystem and make strategic recommendations

Mentor engineers and influence cross-functional technical teams through architectural leadership and hands-on guidance

Ensure platform solutions align with enterprise requirements for scalability, resilience, security, and maintainability

Contribute to Vertex’s long-term AI strategy by identifying opportunities to expand platform capabilities and increase enterprise adoption

Required Qualifications

Advanced degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field; or equivalent combination of education and experience

10 + years of experience designing and building enterprise-grade AI/ML platforms and distributed systems

Deep expertise in agentic AI architectures, LLM-based applications, and platform engineering

Proven experience with retrieval-augmented generation (RAG) systems, vector search, document retrieval, and knowledge integration patterns

Strong experience with AI orchestration frameworks, workflow engines, and multi-step agent execution patterns

Demonstrated experience designing centralized operational platforms for monitoring, governance, observability, and control

Demonstrated experience using AI-assisted software development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code across complex enterprise systems.

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

Strong understanding of AI system evaluation, quality measurement, and performance optimization

Experience partnering with cross-functional stakeholders and influencing technical direction across teams

Excellent communication, leadership, and problem-solving skills

Ability to balance strategic architecture leadership with hands-on technical execution

Technical Skills Required

Agentic AI platform architecture

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

AI orchestration and workflow design

Agent monitoring and observability

AI governance, policies, and controls

AI FinOps, token economics, budgeting, cost allocation, consumption forecasting, and model-cost optimization

AI Gateway / Control Tower architecture, including model routing, provider abstraction, fallback, rate limiting, and policy enforcement

Evaluation frameworks for AI systems

Platform engineering and reusable service design

Distributed systems architecture

API and service design

Knowledge retrieval systems

Telemetry, logging, and operational analytics

Scalability, reliability, and performance engineering

Security and enterprise controls for AI platforms

Preferred Skills

Experience building enterprise AI platforms in regulated or highly governed environments

Familiarity with human-in-the-loop workflows and responsible AI practices

Experience implementing policy engines, guardrails, and audit frameworks for AI applications

Knowledge of ML infrastructure, model serving, and production AI operations

Experience with cloud-native architectures and modern DevOps/ MLOps practices

Exposure to user experience considerations for AI-powered applications and intelligent systems

Ability to translate complex technical capabilities into scalable enterprise adoption strategies

Experience leading technical teams through platform transformation initiatives

#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 [email protected]

Apply Now

Refine Your Search

associate principal engineer, delivery jobs in boston, ma

Senior Principal AI Engineer

Senior Principal Systems Engineer

Associate Principal Engineer, Delivery

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Associate Software Engineer - Search & Discovery

Principal Data Engineer

Principal Delivery Consultant, Amazon Connect Center of Delivery Excellence

Principal Signal Processing Engineer - Cardiac Ablation Solutions

Principal Packaging Engineer

Interim Director of Labor and Delivery

Road Driver - TForce Freight - Free Employee Healthcare! $0.7071 - $0.8057, No Touch Freight, Home Daily, Non-Contributory Pension

Box Truck Owner Operator – Opportunity for Team

CDL-A Dedicated Truck Driver: Home Weekly & $2,500 Sign On Bonus

Roll-Off Driver

Truck Driver - Tanker

CDL A Truck Driver Team $140k to $160k per driver

Wholesale Delivery Driver

Wholesale Delivery Driver

Home Weekly Class A CDL Truck Driver - Flatbed

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