software engineer   ai ml

BlackLine

<div>Make Your Mark::
<div>
We&rsquo;re looking for a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You&rsquo;ll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams.</div><div> 
Responsibilities:</div><ul><li>
Data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance</li><li>
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine&rsquo;s own internal connector ecosystem</li><li>
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy</li><li>
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets</li><li>
Collaborate &amp; innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies</li></ul>
You'll Get To::
<div>
We&rsquo;re looking for a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You&rsquo;ll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams.</div><div> 
Responsibilities:</div><ul><li>
Data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance</li><li>
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine&rsquo;s own internal connector ecosystem</li><li>
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy</li><li>
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets</li><li>
Collaborate &amp; innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies</li></ul>
What You'll Bring::
<ul><li>2+ years of experience with programming skills in languages such as Python, Java, or Scala.</li><li>
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow).</li><li>
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure).</li><li>
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management.</li><li>
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation.</li><li>
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking.</li><li>
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads.</li><li>
Proficiency in containerization technologies (e.g., Docker, Kubernetes).</li></ul>
We&rsquo;re Even More Excited If You Have::
<div>
Operations and Infrastructure:</div><ul><li>
Proficient in scripting languages (e.g., Bash, python) for automation.</li><li>
Experience with workflow orchestration tools (e.g., Apache Airflow).</li><li>
Expertise in managing and optimizing cloud-based infrastructure.</li><li>
Familiarity with DevOps practices and tools for automated deployment.</li><li>
Understanding of network configurations and security protocols.</li></ul><div>
Problem-solving and Critical Thinking:</div><ul><li>
Ability to define problems, collect and analyze data, and propose innovative solutions. Strong critical thinking skills to evaluate models, identify limitations, and</li></ul><div>
Adaptability and Learning Agility:</div><ul><li>
Comfortable working in a fast-paced, rapidly evolving environment. Proactive in staying up to date with the latest trends, techniques, and technologies in AI/data science</li></ul>
Thrive at BlackLine Because You Are Joining::
<ul><li>A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!</li><li>
A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.</li><li>
A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.</li></ul><div>
BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws</div><div>
BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.</div>
Salary Range:: USD $145,000.00/Yr. - USD $182,000.00/Yr.</div>

Software Engineer AI/ML Ops

Stealth Startup

<div>
 
 We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let&rsquo;s build together.
 
 
 
 
 
 ABOUT THE ROLE
 
 
 As a member of the AI/ML engineering team, you'll directly shape the core simulation systems powering critical predictions for global enterprises. The AI/ML team owns the accuracy and intelligence of company's simulation engine &mdash; from synthetic population generation to response estimation. You'll work on designing, training, and evaluating the models that allow us to simulate human behavior with near-perfect fidelity, collaborating closely with research, infrastructure, and product teams.
 
 
 
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 Design and implement training environments for language models used in simulation
 </li>
 <li>
 Build focused, high-quality evaluation frameworks for domain-specific prediction tasks
 </li>
 <li>
 Integrate classical ML approaches with deep learning architectures to improve simulation accuracy
 </li>
 <li>
 Develop and iterate on the core modules that power population-level predictions
 </li>
 <li>
 Create and train new models &mdash; and finetune existing ones &mdash; for accurate simulation of human decision-making across question types
 </li>
 <li>
 Collect, process, and leverage diverse data sources to improve the accuracy of synthetic populations
 </li>
 </ul>
 
 
 YOU MAY BE A FIT IF
 
 
 <ul>
 <li>
 You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems
 </li>
 <li>
 You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment
 </li>
 <li>
 You have 3+ years of hands-on experience building ML/AI systems (research or applied)
 </li>
 <li>
 You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration
 </li>
 <li>
 You have experience working cross-functionally with engineering and product teams to ship ML-powered features
 </li>
 <li>
 You're deeply curious and motivated to push the boundaries of what simulation technology can do
 </li>
 </ul>
 
 
 STRONG CANDIDATES MAY ALSO
 
 
 <ul>
 <li>
 Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL)
 </li>
 <li>
 Have experience building or fine-tuning multi-agent systems
 </li>
 <li>
 Have worked on probabilistic modeling, Bayesian inference, or causal reasoning
 </li>
 <li>
 Have familiarity with our stack or demonstrate the ability to learn unfamiliar technologies quickly
 </li>
 </ul>
 
 
 LOCATION
 
 
 
 This role is based in New York City. This is an in-person company and during this exciting period of hypergrowth, we work 6 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.
 
 
 
 
 
 
 BENEFITS
 
 
 
 We take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.
 
</div>

Software Engineer, AI/ML

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Raleigh, NC, USA; Durham, NC, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 </li>
 <li>
 1 year of experience working with embedded operating systems.
 </li>
 <li>
 Experience with network protocol implementation and optimization for high-bandwidth, low-latency environments such as AI/ML clusters.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures and algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 </li>
 <li>
 Experience with Machine Learning Infrastructure.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 Come join Google's Network Infrastructure Team (within Systems Infrastructure) in the Cloud site in Durham, NC!
 
 
 In this role, you will work at the hardware-software boundary to bring new solutions to the Google fleet.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.
 </li>
 <li>
 Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 </li>
 <li>
 Build and test software in C++ for use on Google's ML library solutions, smart NICs and develop next generation AI/ML networking solutions as well as smart NICs at Google, while taking the projects through development into production.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer AI/ML Networking

Databricks

<div><h1 class="jobSectionHeader">Staff Machine Learning Engineer, CustomerLake (ML/LLM)</h1>
RDQ427R109 
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems &mdash; from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers &mdash; and customer obsessed &mdash; we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 
As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don't have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. 
The impact you'll have:
<ul><li>Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time</li>
<li>Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there</li>
<li>Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks</li>
<li>Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists</li>
<li>Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions</li>
<li>Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years</li></ul> 
What we look for:
<ul><li>10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products</li>
<li>Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product</li>
<li>Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling</li>
<li>Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production</li>
<li>Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation</li>
<li>A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback</li>
<li>High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption</li></ul> 
Nice to have:
<ul><li>Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle</li>
<li>An academic or research background that can help us innovate and develop novel methods</li></ul> 
<div><div><div>Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. 
 
</div><div>Local Pay Range</div>
<div>$192,000&mdash;$260,000 USD
</div></div></div><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Staff Software Engineer - AI/ML

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Currently enrolled in or graduated from a PhD program.
 </li>
 <li>
 Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields.
 </li>
 <li>
 Experience in computer science and software design.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience working with Generative AI.
 </li>
 <li>
 Experience with data structures and algorithms.
 </li>
 <li>
 Knowledge of Python programming.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else.
 
 
 Our mission is to improve the quality of models that Google releases through its various product offerings by providing tools and services for making faster and easier to reach model quality goals. We do so by bringing data optimization techniques to a broad audience through integrated tools and platforms. We build and iterate tools to automatically and efficiently apply data optimization techniques. We demonstrate to our users which ones work best for their use case, and deliver insights on how to improve further. We&rsquo;re working with key product teams across Google.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Help scaling data optimization techniques improving the performance and quality of ML models.
 </li>
 <li>
 Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer, AI/ML, PhD, Early Career

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience with software development in one or more programming languages.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 
</li>
<li>3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field. 
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role. 
</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write and test product or system development code.</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
<li>Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML Infrastructure, Ads

ServiceNow

<div>Company Description 
Veza is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza's Access Graph platform maps an organization's entire identity ecosystem across users, groups, roles, policies, permissions, and resources providing deep visibility and control over human, non-human, and agentic identities across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management, global enterprises including Blackstone, Expedia, and Wynn Resorts trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance.
Founded in 2020 and headquartered in Redwood City, California, Veza is now part of the ServiceNow family, with the acquisition closing in March 2026. The combination brings together Veza's AI-native Access Graph with ServiceNow's AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents. For engineers joining Veza today, this means the scale and resources of an enterprise platform company, with the product velocity and mission-driven focus of a security innovator at a pivotal moment in the industry. 
Job Description 
 We are seeking a Senior Staff Software Engineer to serve as the technical visionary and architect for our multi-agent harness platform, and writing agents for our products.
This is a high-leverage, tier-one leadership opportunity operating at the absolute frontier of Agent research and large-scale backend systems engineering. In this role, you won't just implement agents&mdash;you will define the architectural patterns, scalability guardrails, and strategic direction for how intelligent, autonomous agents reason, decide, and secure the modern enterprise.
What You Will Do<ul><li>
Architect &amp; Vision: Define the technical roadmap and architecture for Access AI Platform, ensuring high availability, low latency, and deterministic reliability.</li><li>
System Design: Lead the design of advanced agent orchestration layers, multi-agent communication, and sophisticated context/memory management.</li><li>
Productionize at Scale: Transition cutting-edge LLM capabilities and MCP frameworks from experimental prototypes into hardened, enterprise-grade pipelines within our identity access infrastructure.</li><li>
Technical Leadership: Act as a force multiplier across the engineering organization. Define engineering excellence, establish robust test/evaluation frameworks for non-deterministic AI systems, and mentor senior and staff-level engineers.</li><li>
Cross-Functional Influence: Partner closely with Product, Security, and Executive leadership to align technical investments with long-term business strategy, pioneering new capabilities from ideation to global deployment.</li></ul> 

Qualifications 
What You Bring<ul><li>
Education: Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Engineering, or a related technical field.</li><li>
Experience: * 10+ years of professional software engineering experience, with a proven track record of technical leadership at a Staff or Senior Staff level.</li><li>
2+ years of hands-on experience in architectural design and production deployment of GenAI technologies, multi-agent systems, LLM orchestration frameworks (e.g., LangChain, AutoGen), or Model Context Protocols (MCP).</li><li>
Technical Mastery: * Expert-level proficiency in Python and Golang (or Java), with deep expertise in distributed systems, microservices architectures, and high-throughput API design.</li><li>
Deep understanding of Cloud Platforms (AWS, Azure, GCP) with experience designing or integrating with enterprise Identity and Access Management (IAM) environments and security fabrics.</li><li>
Execution &amp; Ownership: A strong sense of product ownership. You have a history of taking ambiguous, 0-to-1 AI initiatives and scaling them to 1-to-100 enterprise realities.</li><li>
Communication: Exceptional communication skills with a demonstrated ability to distill complex AI reasoning and architectural trade-offs into clear, strategic narratives for both engineering teams and executive boardrooms.</li></ul>
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 
Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2026 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Senior Staff Software Engineer - AI/ML - Veza

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