Principal AI Engineer Jobs

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

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

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...

Location

United States

Salary:

200000.00 - 300000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

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

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

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

Principal Engineer, AI Strategy and Innovation

Shape the architecture and execution of CLEAR’s AI platform strategy, from infra...

Location

United States , New York

Salary:

250000.00 - 290000.00 USD / Year

Clear

Expiration Date

Until further notice

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

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

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

New

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...

Location

Singapore , Singapore

Salary:

Not provided

Dell

Expiration Date

March 31, 2026

Requirements

Requires 8+ years of related experience in a professional role with a Bachelor’s degree
or 6+ years with a Master’s degree
or 3+ years with a PhD
or equivalent experience
Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes

Job Responsibility

Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Sr. Principal Software Engineer - Applied AI

We are looking for a Principal Software Engineer to join our growing Applied AI ...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, fast shipping, iterative implementation, and successful product launches
Experience and passion for mentoring and encouraging collaborative teams
Experience in cultivating a strong engineering culture in an agile environment

Job Responsibility

Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Grow, coach, build and scale talent on the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

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

Principal Software Engineer – AI Platform

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts wit...

Location

United States , Redwood City; San Francisco

Salary:

275000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
12+ years of experience in designing and building customer-facing software systems for cloud-native applications
Deep experience with AI/ML frameworks and pipelines
Experience at high-growth technology startups
Experience building software products for large enterprise customers
Experience with architecting and developing production web-scale systems (including monitoring, telemetry, performance, reliability, triage, and debuggability)
Deep experience with Python, distributed computing, and cloud platforms
Passion for promoting technical communication, mentorship, and improving engineering culture

Job Responsibility

Work across teams and across the stack to deliver major new features and infrastructure
Improve our practices and culture
Align Engineering on a shared technical vision
Be a key technical advisor to company leadership
Act as a mentor and role model for every engineer
Think years ahead about how Snorkel AI can deliver on its technical mission to democratize AI through data
Take on the biggest, most ambiguous, and most rewarding challenges that arise

Fulltime

Principal Software Engineer - Central AI

The Central AI org’s purpose is to accelerate AI innovation across all our produ...

Location

United States , Mountain View; San Francisco; Austin; New York

Salary:

170800.00 - 274300.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Minimum of 12 years of hands-on experience in software/technology roles, in Enterprise Products & Solutions in the cloud
Proficiency with cloud-native technologies, ideally AWS
At least 2 years of experience architecting and implementing multiple features of a SaaS product at a high scale, performance and reliability of 4 nines
Experience with building and delivering multi-tenant cloud-native SaaS software
Strong understanding of distributed systems, modern cloud-native architectures, and distributed data management
Excellent communication skills and demonstrated success in articulating and pitching technical vision to stakeholders
Ability to balance short- and long-term objectives, focusing on both technical and business outcomes

Job Responsibility

Shape the forward-looking technical direction and long-term architecture for pillars in the Search and Data Ecosystem org
Collaborate with product, engineering, and design leaders to influence the broader department-level strategy
Ensure that the technical strategy you build is aligned with the technical strategy of Atlassian products and platforms
Regularly unblock challenges faced in the software development cycle, from technical design to launch
Lead code reviews and documentation and take on complex bug fixes, especially on high-risk problems
Set the standards for shipping high quality code at high velocity by improving the developer experience
Mentor, hire and develop other engineers

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Principal AI Engineer

JFrog

Location:
Israel , Netanya/Tel Aviv

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 26, 2025

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