CrawlJobs Logo

Principal Engineer, AI Strategy and Innovation

clearme.com Logo

Clear

Location Icon

Location:
United States , New York

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

250000.00 - 290000.00 USD / Year

Job Description:

Shape the architecture and execution of CLEAR’s AI platform strategy, from infrastructure to applied intelligence. Partner with Engineering, Product, Analytics, and Security to design and scale systems that embed AI into every member and partner interaction. Set the direction for AI adoption, drive platform scalability, and ensure responsible, trusted deployment of AI applications across CLEAR’s ecosystem.

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

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
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

Additional Information:

Job Posted:
December 07, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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

Briefcase Icon

Similar Jobs for Principal Engineer, AI Strategy and Innovation

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...
Location
Location
United States
Salary
Salary:
200000.00 - 300000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience
  • at least 3 years in applied LLM or agentic AI systems (2023–present)
  • proven success in deploying LLM-powered products used by real users at scale
  • deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs
  • familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
  • experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning
  • experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.)
  • demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state
  • comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups
  • strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines
Job Responsibility
Job Responsibility
  • Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration
  • build reusable agentic components that integrate deeply into sales and marketing processes
  • own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments
  • lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG)
  • build embedding-based, intent-aware search and personalization systems tuned to business user needs
  • drive innovation in personalized outreach generation using context-aware generation pipelines
  • tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance
  • define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows
  • architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year
  • flex PTO
  • parental leave
  • employee assistance program
  • wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • 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 Engineer

As a Principal Engineer at Aignostics, you will play a crucial role in shaping t...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
aignostics.com Logo
Aignostics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree in Computer Science, Software Engineering, or a related field
  • 10+ years of software development experience, with at least 5 years in senior technical leadership roles
  • Proven track record of driving technical excellence and innovation in organizations with 50+ engineers
  • Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
  • Solid background in large scale systems and software architecture, design patterns, and clean coding
  • Extensive experience in designing and implementing large-scale, distributed and event-driven systems
  • Extensive experience with data processing at scale
  • Extensive expertise in multiple programming languages and frameworks
  • Deep understanding of cloud technologies (GCP, AWS), containerization and orchestration (Kubernetes)
  • Familiarity with DevSecOps and MLOps practices, complex CI/CD pipelines, and infrastructure as code
Job Responsibility
Job Responsibility
  • Own the technical direction and architectural integrity of our platform
  • Advise our CTO and Sr. Vice President of Engineering on the technical vision of Aignostics
  • Align our technical strategy with business objectives to provide a competitive advantage
  • Resolve technical conflicts across teams and harmonize technologies to unlock synergies
  • Advise product management on technical feasibility, cost, and risks of complex product features
  • Drive technical design, planning, and integration of our platform across systems
  • Provide technical guidance in system design reviews for all teams
  • Educate senior and mid-level engineers to bring them up to the next level
  • Demonstrate long-term thinking and utmost technical excellence in your individual contributions
  • Lead the technical strategic planning and execution across the TechOrg's quarterly roadmap
What we offer
What we offer
  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • Enjoy your well-deserved time off within our 30 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport, sports and well-being
  • Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment
  • Fulltime
Read More
Arrow Right

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...
Location
Location
United States , Pleasanton, California
Salary
Salary:
251000.00 - 314500.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • 10+ years in ML infrastructure, DevOps, and software system architecture
  • 4+ years in leading MLOps or AI Ops platforms
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Job Responsibility
Job Responsibility
  • Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Lead the deployment of AI models and systems in various environments
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
  • Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
  • Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
  • Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics
What we offer
What we offer
  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...
Location
Location
United Kingdom , Bristol; London; Manchester; Swansea
Salary
Salary:
100000.00 - 115000.00 GBP / Year
madetech.com Logo
Made Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
  • Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
  • Experience building trusted advisor relationships with senior client stakeholders within the public sector.
  • Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
  • Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
  • Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
  • Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
  • Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
  • Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
  • Experience working directly with customers and users within a technology consultancy
Job Responsibility
Job Responsibility
  • Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
  • Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
  • Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
  • Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
  • Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
  • Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events
What we offer
What we offer
  • 30 days of paid annual leave + bank holidays
  • Flexible Parental Leave
  • Remote Working
  • Paid counselling as well as financial and legal advice
  • Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
  • Optional social and wellbeing calendar of events
  • Fulltime
Read More
Arrow Right

Senior Principal Software Engineer

Atlassian’s Global Experiences organization is dedicated to creating unified, se...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of experience in software engineering, with deep expertise in platform and product engineering at scale
  • Exceptional communication and collaboration skills
  • able to influence and partner across teams
  • Deep product engineering background, ideally with experience in platform environments at scale
  • Full stack experience preferred, or strong back-end skills with front-end capability
  • Proven ability to architect, build, and operate large-scale, distributed systems and user-facing applications
  • Strong product mindset and UX sensibility
  • Experience leading multi-year, cross-org technical initiatives that drive business outcomes
  • Passion for innovation, continuous improvement, and fostering an inclusive, high-performing engineering environment
Job Responsibility
Job Responsibility
  • Leading technical strategy and architecture for Platform Apps, ensuring solutions are robust, secure, and consistent
  • Driving innovation in user and admin experiences, including integrating AI-powered insights and advancing Atlassian’s System of Work
  • Collaborating with product, UX, and engineering leaders to define and deliver a roadmap of high-impact, standalone apps
  • Managing negotiations and dependencies across multiple teams and departments, balancing deep project involvement with platform-wide strategic thinking
  • Standardising and mechanising app development processes , transitioning from ad hoc to scalable, repeatable approaches
  • Mentoring engineers and championing engineering excellence, continuous improvement, and an inclusive culture
What we offer
What we offer
  • Flexibility: Work from anywhere Atlassian has a legal entity, with support for remote, hybrid, or in-office work
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...
Location
Location
United States
Salary
Salary:
222300.00 - 348975.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
  • 12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
  • Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
  • familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
  • Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
  • Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
  • Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
  • Agile development mindset, with a focus on iterative improvement and business impact
Job Responsibility
Job Responsibility
  • Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
  • Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
  • AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
  • Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
  • Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
  • Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
  • Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
  • Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • benefits, bonuses, commissions, and equity
  • Fulltime
Read More
Arrow Right

Senior Principal Product Manager, Confluence AI

As a Senior Principal Product Manager on the AI team for our Confluence product,...
Location
Location
United States , San Francisco
Salary
Salary:
183200.00 - 294400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in product management, with a focus on AI, machine learning, or related technologies
  • Proven track record of successfully leading cross-functional teams to deliver complex software projects and successfully iterating on functionality through experimentation
  • Strong understanding of AI and machine learning concepts, with experience in applying these technologies to real-world products and solutions
  • Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
  • Demonstrated ability to thrive in fast-paced environments with high levels of ambiguity, where priorities may shift rapidly and flexibility is essential for success
Job Responsibility
Job Responsibility
  • Own the vision and roadmap for AI within Confluence
  • Act as an AI leader across Atlassian, shaping the overall product strategy and thinking of AI from your vantage point within Confluence
  • Lead a direct cross-functional team of ~60 engineers, designers, data scientists, and other discipline leads to deliver high-quality AI functionality and features to end users
  • Collaborate closely with internal Confluence teams to support the integration of AI capabilities into their feature development process, ensuring alignment with AI program goals and coherence of experiences
  • Work closely with partner teams, including central platform teams, to align on vision, strategy, and execution plans for AI initiatives across Atlassian products
  • Define key results (KRs) and metrics to measure the success and impact of AI features, and use data-driven insights to iterate and improve
  • Meet regularly with customers to gather feedback and requirements, and to obtain a deep understanding of customer pain points
  • Stay informed about industry trends, emerging technologies, and competitive landscape related to AI and machine learning, and leverage this knowledge to drive innovation within Confluence
  • Act as a subject matter expert on AI technologies and methodologies, providing guidance and mentorship to team members and stakeholders
  • Communicate effectively with stakeholders at all levels of the organization, including executive leadership
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right