CrawlJobs Logo

Principal AI/ML Engineer

onebrief.com Logo

Onebrief

Location Icon

Location:
United States

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

265000.00 - 320000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

We're hiring a Principal AI/ML Engineer to lead the design and implementation of enterprise-grade AI systems that power mission-critical operations. In this role, you will architect scalable AI infrastructure, deliver practical AI solutions that solve real operational challenges, and drive technical strategy for our AI-powered products. You'll apply cutting edge AI to transform complex military requirements for planning critical operations into robust production-ready systems. You will have the opportunity to redefine distributed human-AI collaboration at scale with the use of multi modal foundation models, multi-agent orchestration and knowledge graph driven reasoning. Expect to lead cross-functional technical initiatives, mentor engineers, and establish technical standards that enable rapid innovation while ensuring reliability. The solutions you design must be robust, scalable, and able to support thousands of users in regulated, offline-capable environments.

Job Responsibility:

  • Partner with product, domain experts, and leadership to translate operational needs into technical roadmaps
  • Define system-level standards for model development, evaluation, and deployment, while mentoring senior and staff level engineers through collaboration
  • Drive long term AI/ML architecture at Onebrief
  • Agent Orchestration: Design systems that coordinate multiple AI agents, tools, and workflows to accomplish complex operational tasks
  • Design and implement enterprise-scale AI infrastructure supporting retrieval, generation, and multi-modal reasoning
  • Build and scale graph-based systems for structured representation, reasoning, and integration with generative models
  • Apply LLM practices like RAG & prompt engineering to deliver grounded & reliable outputs for mission planning
  • Establish evaluation frameworks and SLO's for RAG quality, agent reliability, and system performance in production
  • Collaborate with infrastructure teams to ensure high quality data pipelines to power AI applications

Requirements:

  • M.S. in Computer Science, Engineering, or equivalent practical experience
  • 10+ years in large scale distributed systems, ideally supporting more than 100k concurrent users
  • Proven experience designing and deploying AI systems at scale in distributed, production environments
  • Strong background in integrating LLMs with retrieval systems for real-world use cases
  • Understanding of data governance, model safety evaluations, red-teaming, and secure ML practices for regulated domains
  • Experience with building systems with information retrieval (relevance & ranking), natural language processing techniques like Named Entity Recognition (NER)

Nice to have:

  • Background in defense, national security, or other mission-critical domains
  • Experience with orchestrating systems that combine text, structured data, and domain-specific signals
What we offer:
  • Equity: Share in the company's success
  • Flexible Work Environment: Remote-first organization* with flexible work hours and unlimited PTO
  • Comprehensive Health Coverage: Health, dental, vision, and life insurance
  • Retirement Plan: 401(k) plan with company match to secure your future
  • Parental Leave: 8 weeks at 100% regardless of state
  • Company Retreats: Annual company summit trips
  • Home Office Budget: $1,000 per year for home office improvements

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Onebrief - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal AI/ML Engineer

Principal Engineer - AI/ML

This role involves leading the innovation agenda and technology roadmap for HPE'...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, information systems, or closely related quantitative discipline
  • Typically, 10-15 years’ experience
  • Strong programming skills in Python, Java, Golang, or JavaScript
  • Deep expertise in software systems design, development methodologies, and integration across diverse platforms and technologies
  • Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems
  • History of innovation with multiple patents or deployed solutions in software design
  • Excellent written and verbal communication skills
  • Ability to effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels
Job Responsibility
Job Responsibility
  • Experiment, design, develop and maintain machine learning models and pipelines with a high potential for value and scale
  • Collaborate with other ML engineers, data scientists, product managers, and other engineers to ensure successful implementation of machine learning solutions
  • Perform research and testing to develop or customize machine learning algorithms
  • conduct model training and evaluation as needed
  • integrate, test, tune and monitor the solutions developed
  • Research and evaluate new technologies and tools for machine learning
  • Maintain and update existing machine learning systems
  • Troubleshoot and debug machine learning systems
  • Work collaboratively with cross-functional partners and stakeholders, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...
Location
Location
Puerto Rico , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 10-15 years’ experience
  • Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
  • Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
  • Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
  • Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
  • Understanding of Devops, SRE
  • Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)
Job Responsibility
Job Responsibility
  • Designing, developing, and deploying advanced machine learning models and algorithms
  • Leading research initiatives to explore novel approaches and technologies
  • Designing the architecture of AI systems and ensuring scalability, performance, and reliability
  • Collaborating with other teams, such as data scientists, software engineers, and product managers
  • Providing technical leadership and mentorship to junior engineers
  • Overseeing and guiding multiple design review sessions across different projects
  • Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
  • Leading efforts to incorporate feedback loops and continuous improvement processes
  • Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
  • Creating and delivering high-level presentations and reports to executive stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Principal Software Engineer RR Level 3

We're responsible for prototyping and developing new technologies and novel solu...
Location
Location
United States , Annapolis Junction
Salary
Salary:
Not provided
anthemengineering.com Logo
Anthem Engineering
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Polygraph Required
  • Onsite work at customer location required
  • Experience with TypeScript and JavaScript
  • Experience with React, Angular, Material UI, Bootstrap, Storybook
  • Experience with Java, Spring Boot
  • Experience with Elasticsearch, MongoDB, MySQL
  • Experience with npm, Webpack, Maven
  • Experience with Jest, JUnit
  • Experience with Git
  • Ability to learn and grow
Job Responsibility
Job Responsibility
  • Prototype and develop new technologies and novel solutions to issues within the division
  • Work closely with analysts to understand their workflows, identify gaps, and create solutions that make things easier and more effective
  • Work on a variety of constantly changing applications and services that support a wide array of missions
  • Build tools that ingest, process, and analyze large volumes of information
  • Provide direct support to forces protecting Americans
  • Organize, process, and visualize a source of information for critical intelligence
  • Identify and track critical assets using geospatial tools and analytics
  • Apply AI/ML algorithms to real-world problems
  • Provide advice and recommendations to Government customers
  • Choose the right tools to address each challenge
  • Fulltime
Read More
Arrow Right

Principal Product Security Engineer

Do you thrive at the intersection of cybersecurity and AI, with a passion for se...
Location
Location
Australia
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on experience securing AI/ML systems, including models, data pipelines, and inference services
  • Experience in cloud security architecture and infrastructure for AI/ML workloads
  • Experience coding in Java, Javascript, Python, or Go, and at least one scripting language
  • Experience leading large-scale projects from start to finish
  • Adept experience providing SME knowledge and guidance to stakeholders and engineering functions
  • Proven experience in a technical leadership role within product security, with 2+ years of experience
  • Deep understanding of cybersecurity principles, threat landscape, and best practices
  • Strong knowledge of data security, privacy, encryption, and authentication methods
  • Experience with compliance standards such as ISO 27001, SOC 2, FedRAMP, or similar
  • Excellent leadership, communication, and interpersonal skills
Job Responsibility
Job Responsibility
  • Serve as the Technical SME, promoting automation, reviewing platform and service designs and architectures, and driving our security teams to equip the engineering partner teams with the latest tools, techniques, and methodologies to enhance AI security
  • Lead the charge in safeguarding our AI platforms and product experiences
  • Partnering across engineering, platform, infrastructure and privacy to foster a culture of secure and trustworthy AI that meets the highest industry standards
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Principal Data Engineer

A VC-backed conversational AI scale-up is expanding its engineering team and is ...
Location
Location
United States
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in software development and data engineering with ownership of production-grade systems
  • Proven expertise in Spark/PySpark
  • Strong knowledge of distributed computing and modern data modeling approaches
  • Solid programming skills in Python, with an emphasis on clean, maintainable code
  • Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
  • Excellent communicator who can influence and partner across teams
Job Responsibility
Job Responsibility
  • Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
  • Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
  • Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
  • Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives
What we offer
What we offer
  • Fully remote
  • great equity
  • the chance to join a rocketship
  • Fulltime
Read More
Arrow Right

Sr. Principal Engineer, Interact Analytics Experiences

We’re looking for a Principal Engineer to lead Highspot’s Analytics Platform cap...
Location
Location
United States , Seattle
Salary
Salary:
277391.00 - 342391.00 USD / Year
highspot.com Logo
Highspot
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven Experience – 10+ years in software engineering with deep experience in analytics platforms, query engines, OLAP databases, and frontend analytics frameworks
  • Expertise in Analytics & Query Processing – Strong hands-on knowledge of OLAP databases, query transpilation, analytics frameworks, and frontend-driven analytics experiences
  • Expertise in Frontend Analytics & Component Architecture – Experience designing and developing reusable, performant, and scalable frontend components for interactive analytics experiences. Deep understanding of modern frontend frameworks, component-based architecture, and state management patterns to enable dynamic, data-rich visualizations
  • Architectural Leadership – Experience designing and implementing scalable analytics-serving platforms and interactive query experiences with frontend and backend considerations
  • Strong Programming and Data Skills – Proficiency in SQL, TypeScript, React, and modern transpilation techniques, with a solid understanding of query optimization, frontend component reusability, and performance tuning
  • Cloud-Native & Infrastructure Knowledge – Familiarity with AWS, Kubernetes, and Terraform/Pulumi, with a focus on analytics services and frontend scalability
  • Technical Leadership – Proven ability to drive cross-functional technical initiatives and influence platform decisions across both backend and frontend architectures
  • Analytical Mindset – Passion for solving complex problems in interactive analytics, frontend visualization, query processing, and composable reporting frameworks
  • High Standards for Reliability and Performance – Commitment to ensuring high query performance, frontend responsiveness, availability, and data accuracy
Job Responsibility
Job Responsibility
  • Architect and Scale the Analytics Platform – Design and evolve the key parts of our system including database/query optimizations, backend scalability, and frontend framework improvements to support self-serve analytics and real-time insights
  • Lead Frontend and Backend Analytics Excellence – Ensure the Analytics Platform provides a scalable, efficient, and well-governed foundation for serving analytical queries and reports while advancing the frontend component architecture to support interactive analytics experiences
  • Own End-to-End Analytics Flow – Guide the transformation, querying, and visualization of analytics data, optimizing for performance, usability, and seamless integration across backend and frontend systems
  • Evolve Role-Based Access Control (RBAC) for Data Governance – Enhance our RBAC framework to ensure the right people have access to the data they need while maintaining security, compliance, and performance across the Analytics Platform
  • Enable Advanced Visualization & Reporting – Partner with Product and Engineering teams to evolve and optimize our ad-hoc data visualization and reporting framework, ensuring robust composable components with efficient state management and interaction logic
  • Drive Best Practices and Technical Standards – Establish and evangelize patterns for query optimization, schema evolution, frontend component reusability, and analytics-driven UI design
  • Lead and Mentor – Act as a technical leader and mentor for engineers across the team, providing deep technical guidance on analytics, query performance, frontend development, and reporting challenges
  • Cross-Team Collaboration – Partner with engineering teams across product, backend, frontend, Data-Platform and AI/ML to ensure a seamless, high-performing analytics experience
  • Operational Excellence – Define and drive SLA, availability, and performance objectives, ensuring the Analytics Platform meets the needs of our Analytics and Insights vision
What we offer
What we offer
  • Comprehensive medical, dental, vision, disability, and life benefits
  • Health Savings Account (HSA) with employer contribution
  • 401(k) Matching with immediate vesting on employer match
  • Flexible PTO
  • 8 paid holidays and 5 paid days for Annual Holiday Week
  • Quarterly Recharge Fridays (paid days off for mental health recharge)
  • 18 weeks paid parental leave
  • Access to Coaches and Therapists through Modern Health
  • 2 volunteer days per year
  • Commuting benefits
  • Fulltime
Read More
Arrow Right

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...
Location
Location
United States , New York
Salary
Salary:
250000.00 - 290000.00 USD / Year
clearme.com Logo
Clear
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years in software engineering and/or technical experience with deep expertise in AI systems, ML platforms, and data infrastructure
  • At least 5 years of experience with various AI technologies including GenAI, ML, Deep Learning, RPA or others
  • Proven ability to scale AI capabilities into high-throughput, low-latency environments
  • Strong technical background in cloud-native architectures (AWS or similar) and modern AI/ML stacks (TensorFlow/PyTorch, MLflow, RAG, MCP, etc.)
  • Experience leading AI strategy and platform adoption in enterprise-scale environments
  • Skilled at translating regulatory and compliance requirements into responsible AI practices
  • Track record of partnering closely with Product, Engineering, Analytics, and Security teams as well as business executives
  • Excellent communicator who can set a vision for AI, explain technical trade-offs, and influence executives, peers, and partners
  • Passionate about embedding AI into core products to deliver measurable impact for members and enterprise partners
Job Responsibility
Job Responsibility
  • Define and scale CLEAR’s AI strategy: spanning data pipelines, ML lifecycle management, and intelligent applications
  • Lead engineering execution for AI models (development, deployment, monitoring, retraining) with a focus on reliability, observability, and ethical AI practices
  • Modernize analytics and intelligence systems to deliver predictive insights and partner-facing transparency in real time
  • Operationalize trust in AI by embedding privacy, compliance, and security into all platforms and workflows
  • Influence cross-functional stakeholders across the business, fostering a culture of technical rigor, collaboration, and innovation, advising C Suite executives, leaders, and individual contributors
  • Lead the AI Governance group and drive best practices across business functions
  • Track and optimize KPIs on AI adoption, model performance, scalability, and business impact
What we offer
What we offer
  • Comprehensive healthcare plans
  • Family-building benefits (fertility and adoption/surrogacy support)
  • Flexible time off
  • Annual wellness stipend
  • Free OneMedical memberships for you and your dependents
  • A CLEAR Plus membership
  • A 401(k) retirement plan with employer match
  • Catered lunches every day
  • Fully stocked kitchens
  • Stipends and reimbursement programs for well-being and learning & development
  • Fulltime
Read More
Arrow Right

Principal ML/AI Software Engineer

We are looking for a Principal Engineer experienced in the ML/AI domain to drive...
Location
Location
Turkey
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML
  • Proven track record of tech-leading AI/ML products from conception to launch
  • Strong platform mindset - experience building reusable tools/infras to accelerate AI development
  • Strong programming skills in any OOO programming language - we’re open to candidates from different tech backgrounds
  • Excellent communication and collaboration skills
Job Responsibility
Job Responsibility
  • Define the technical vision and roadmap for AI Foundation and NextGen
  • End-to-end ownership - from prototyping and development to production
  • Hands-on work in prompt engineering, model iteration, and training/inference systems
  • Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact
  • Facilitate product and technical decisions, ensuring alignment with business goals
  • Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams
  • Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption
  • Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges
  • Evaluate in-house model development vs. third-party APIs for ML/AI solutions
  • Establish best practices for AI development, quality measurement, monitoring, and scalability
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy