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software engineer ai llm

Actively AI

<div>
 
 About Actively AI
 
 
 
 Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.
 
 
 Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.
 
 
 Why does this matter?
 
 Because revenue is the ultimate fuel for businesses.
 
 The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to
 
 their
 
 customers.
 
 
 In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.
 
 
 We have a very ambitious product and scaling roadmap, there&rsquo;s strong market interest in what we are doing, and it&rsquo;s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.
 
 
 About the Role:
 
 
 We&rsquo;re looking for early engineers to help us move fast across product, infrastructure, and go-to-market. Our vision is simple but ambitious: build a platform that automates the sales research and planning workflows that slow teams down &mdash; and help GTM teams spend more time actually selling.
 
 
 You&rsquo;ll work across the entire product, stack, and business &mdash; owning features end-to-end, shaping product strategy through user interaction, and building tools that directly unlock growth and scale.
 
 
 This is a high-leverage, high-autonomy role, perfect for engineers who are hungry to build and ship fast, work closely with customers, and shape the future of the product and company.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and own core product features that deliver immediate value to users.
 </li>
 <li>
 Tackle technical complexity across the stack: data pipelines, infra, LLMs, and frontend UX.
 </li>
 <li>
 Talk directly to customers and pilot users to identify gaps, test new ideas, and iterate quickly.
 </li>
 <li>
 Contribute to our onboarding, implementation, and customer delivery processes &mdash; including tooling and automation.
 </li>
 <li>
 Collaborate with engineering and product to prioritize roadmap items based on user impact.
 </li>
 <li>
 Think holistically about the product and business &mdash; helping shape GTM strategy, sales enablement tools, and internal ops.
 
 
 </li>
 </ul>
 A Typical Week Might Include
 
 
 <ul>
 <li>
 Joining customer calls to understand how reps use the product and where it can improve.
 </li>
 <li>
 Shipping a feature that delivers a step change in ROI for pilot users.
 </li>
 <li>
 Troubleshooting onboarding or LLM performance issues and pushing hotfixes.
 </li>
 <li>
 Building a new internal tool to streamline sales team workflows.
 </li>
 <li>
 Brainstorming new value props with the founders and contributing to pitch iterations.
 
 
 </li>
 </ul>
 Who You Are
 
 
 <ul>
 <li>
 
 Builder at Heart
 
 &ndash; You love building things from scratch and are obsessive about the details.
 </li>
 <li>
 
 Technical Depth
 
 &ndash; Strong engineering and/or ML background, with experience or interest in LLMs and large-scale data processing.
 </li>
 <li>
 
 High Ownership
 
 &ndash; You&rsquo;ve owned product areas or infrastructure before, and thrive on autonomy.
 </li>
 <li>
 
 Customer-Obsessed
 
 &ndash; You get energy from talking to users and thinking from their perspective.
 </li>
 <li>
 
 Fast, Curious, and Iterative
 
 &ndash; You learn quickly, move fast, and constantly seek feedback.
 </li>
 <li>
 
 Career Trajectory
 
 &ndash; You're looking for a big leap forward &mdash; in ownership, impact, and growth.
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Former founder or 2+ years at a high-growth startup in a customer-facing role.
 </li>
 <li>
 Experience working directly on delivery, implementation, or sales engineering teams.
 </li>
 <li>
 Built or scaled LLM-based or AI-powered products in production.
 
 
 </li>
 </ul>
 Benefits:
 
 
 <ul>
 <li>
 🚀 Competitive Early-Stage Equity
 </li>
 <li>
 ⚕ Health, Dental, Vision Coverage
 </li>
 <li>
 💡 Unlimited PTO + Recharge Days
 </li>
 <li>
 🍽️ Catered Lunch on Tuesday &amp; Friday w/ Dinners every day!
 </li>
 <li>
 🍿 Fully Stocked Kitchen
 </li>
 <li>
 💻 Cutting-Edge Tech &amp; Tools
 </li>
 <li>
 🌴 Annual Off-sites &amp; Monthly Events
 </li>
 <li>
 🚆 Commuter Benefits
 
 
 </li>
 </ul>
 Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
 
 
 Compensation Range: : $140,000 USD - $180,000 USD
</div>

Software Engineer (AI/LLM)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We're seeking a Software Development Engineer to join our Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB enables merchants, vendors, and brand owners to drive incremental sales through contextually relevant ads across Amazon properties (Amazon.com, Alexa, etc.) and third-party publishers. 
 
The CAX team specializes in developing sponsored conversational experiences powered by large language models (LLMs). We're pioneering multiple industry-first initiatives that, while complex and ambiguous, offer opportunities to create significant impact for our consumers, advertisers, and the business. 
 
Key job responsibilities 
<ul><li>Drive major product and engineering initiatives</li><li>Build large-scale, low-latency distributed systems</li><li>Develop ML infrastructure and LLM-based AI workflows</li><li>Partner with our science team to implement LLM models in production</li><li>Contribute to LLMOps</li><li>Design, build, and operate customer-facing functionality impacting hundreds of millions of shoppers worldwide</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Experience developing, deploying and managing AI products at scale</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer , Sponsored Products and Brands

Software Engineer, AI Native

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Paid parental leave (12 weeks maternal, 6 weeks paternal)
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II - New York

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Job Title: Senior Member of Technical Staff (SMTS) - Site Reliability Engineer (Cloud Automation)
Location: New York, NY; San Francisco, CA
About the Team
The Cloud Platform Engineering team builds and operates the highly available, active-active mission-critical infrastructure that powers Salesforce at scale. We treat the internal cloud as a product designed to maximize developer velocity through automation-first thinking and a strict &quot;No Ticket-Ops&quot; philosophy. We are defining the next generation of platform engineering by running a LEAN, innovative team that leverages AI as much as humanly possible. By integrating AI agents directly into our GitOps workflows and our enterprise WorkOS (Slack), we aim to build a smart, secure platform that our internal developers love.
The Shared Team DNA
While every member of our team has a distinct focus area, we are all &quot;T-shaped&quot; engineers who learn from one another. Regardless of your title, you must share our collective passion for:
<ul><li>Customer Focus: Treating internal developers as our primary customers and prioritizing their velocity and user experience.
</li><li>Automation: Eradicating manual toil and &quot;ticket-ops&quot; via GitOps and AI-augmented workflows.
</li><li>Security: Believing that security should be &quot;shifted left&quot; and built into the code, not bolted on as an afterthought.
</li><li>SRE Mindset: Engineering for failure, prioritizing self-healing systems, and maintaining a 99.999% availability standard.
</li><li>Observability: Relying on telemetry, centralized logging, and ChatOps to proactively identify and resolve issues.
</li><li>About the Role
</li></ul>While the Architect determines how our platform should be designed, you are the engineer who actually builds the cloud infrastructure engine. As a Senior SRE focusing on Cloud Automation, you will partner closely with our enterprise CI/CD teams to seamlessly integrate our platform's capabilities into the developer workflow. You are responsible for building the infrastructure vending machines and the enterprise-grade infrastructure-as-code (IaC) modules that abstract away cloud complexity. You will empower internal developers to provision secure, compliant environments in minutes via self-service ChatOps workflows.
Your Impact - Responsibilities
<ul><li>The Vending Machine: Build, maintain, and scale the automated provisioning workflows that orchestrate the creation of new, fully governed multi-account cloud environments.
</li><li>&quot;Golden Modules&quot;: Author, test, and maintain a library of pre-approved Infrastructure-as-Code templates that internal developers will consume. Ensure these modules enforce our strictest standards by default.
</li><li>Shift-Left Integrations: Partner with the enterprise CI/CD team to plug our platform's automated security scanning, Policy-as-Code evaluations, and cost-estimation checks directly into the developer's Pull Request process.
</li><li>Resilience &amp; Observability: Implement data-plane-driven automated failover mechanisms, and develop integrations that connect our provisioning tools to our enterprise WorkOS (Slack) for real-time operational intelligence.
</li></ul>Minimum Qualifications
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience
</li><li>7+ years of software engineering or Site Reliability Engineering experience in large-scale cloud environments.
</li><li>Expert-level proficiency in Infrastructure-as-Code (strictly Terraform) and managing state in highly distributed architectures.
</li><li>Strong programming skills in Python, Go, or similar languages used for building automation tooling and API integrations.
</li><li>Proven experience operating multi-region, active-active cloud environments and implementing automated disaster recovery tests.
</li><li>Deep understanding of GitOps workflows and integrating infrastructure guardrails into existing enterprise CI/CD pipelines.
</li></ul>*LI-Y
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineering SMTS - Cloud Reliability

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Job Title: Member of Technical Staff (MTS) - Cloud Security Automation Engineer
Location: New York, NY; San Francisco, CA
About the Team
The Shared Team DNA While every member of our team has a distinct focus area, we are all &quot;T-shaped&quot; engineers who learn from one another. Regardless of your title, you must share our collective passion for:
<ul><li>Customer Focus: Treating internal developers as our primary customers and prioritizing their velocity and user experience.
</li><li>Automation: Eradicating manual toil and &quot;ticket-ops&quot; via GitOps and AI-augmented workflows.
</li><li>Security: Believing that security should be &quot;shifted left&quot; and built into the code, not bolted on as an afterthought.
</li><li>SRE Mindset: Engineering for failure, prioritizing self-healing systems, and maintaining a 99.999% availability standard.
</li><li>Observability: Relying on telemetry, centralized logging, and ChatOps to proactively identify and resolve issues.
</li></ul>About the Role
As our Cloud Security Automation Engineer, you are responsible for ensuring that our high-velocity platform remains impenetrable. While the SRE team builds the automation engine, you build the brakes and the guardrails. You will translate dense compliance frameworks (like NIST 800-53) and strict corporate data policies into automated, programmatic rules. You will &quot;feed the brain&quot; of our AI agents and Policy-as-Code engines, ensuring that any infrastructure deployed by our developers is validated for security and compliance before it ever reaches production.
Your Impact - Responsibilities
<ul><li>Policy-as-Code: Write, test, and maintain the exact rules (e.g., OPA/Rego) that evaluate developer Pull Requests to ensure they meet Mission-Critical data classification standards.
</li><li>AI Agent Management: Maintain and update the knowledge base and rule sets used by our AI-augmented GitOps agents, ensuring they are instantly aware of newly released internal security standards.
</li><li>Preventative &amp; Detective Guardrails: Implement programmatic boundaries (e.g., Service Control Policies) to restrict unauthorized regions, mandate encryption, and enforce a strict &quot;Private-by-Default&quot; network posture.
</li><li>Continuous Compliance &amp; Observability: Ensure that all operational and audit telemetry is aggregated into centralized, tamper-proof storage, and monitor aggregated threat detection dashboards to resolve anomalies.
</li></ul>Minimum Qualifications
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience
</li><li>4+ years of experience in cloud security, DevSecOps, or security automation engineering.
</li><li>Hands-on experience writing and deploying Policy-as-Code (e.g., Open Policy Agent, Rego, Sentinel).
</li><li>Deep understanding of enterprise cloud security constructs, centralized policy enforcement, and KMS cryptography.
</li><li>Familiarity with translating rigorous compliance frameworks (e.g., NIST SP 800-53, FedRAMP, SOC2) into automated technical controls.
</li><li>Strong scripting skills (Python, bash) for developing automated security remediation lambda functions.
</li></ul>*LI-Y
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $176,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Software Engineering MTS - Security Automation

Explore 292+ Software engineer ai llm in New York this March. Find roles across top companies and apply now to boost your career.