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Remote Ai Agent Developer Jobs (NOW HIRING)

We're looking for a Marketing AI Agent Engineer to help build, configure, and scale AI-powered GTM workflows across Marketing, SDR, and Revenue Operations. This role will sit at the intersection of ...

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

... Developer to join our growing team. Role: AI Engineer Developer Location: Houston TX or US Remote ... agent implementation, workflow automation, and GenAI application development. This is a remote ...

Although the position will be remote, there might be some occasional travel to ERP Suites ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

Although the position will be remote, there might be some occasional travel to ERP Suites ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

Senior AI Agent & Evaluations Engineer

$107K - $146K/yr

They are seeking a Senior AI Agent & Evaluations Engineer to design and improve AI agents that directly impact customer experiences and operational efficiency, while owning the intelligence layer ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

... Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

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Remote Ai Agent Developer information

See salary details

$29K

$47.9K

$99.5K

How much do remote ai agent developer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote ai agent developer in the United States is $47,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What are Remote AI Agent Developers?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

What are some common challenges faced by Remote AI Agent Developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote AI Agent Developer, and why are they important?

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
More about Remote Ai Agent Developer jobs
What cities are hiring for Remote Ai Agent Developer jobs? Cities with the most Remote Ai Agent Developer job openings:
What are the most commonly searched types of Ai Agent Developer jobs? The most popular types of Ai Agent Developer jobs are:
What states have the most Remote Ai Agent Developer jobs? States with the most job openings for Remote Ai Agent Developer jobs include:
Infographic showing various Remote Ai Agent Developer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 6% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.
Marketing Ops AI Agent Engineer

Marketing Ops AI Agent Engineer

Saviynt

OR • Remote

Full-time

Re-posted 20 days ago


Job description

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

We’re looking for a Marketing AI Agent Engineer to help build, configure, and scale AI-powered GTM workflows across Marketing, SDR, and Revenue Operations. This role will sit at the intersection of Marketing Operations, AI automation, data orchestration, and go-to-market execution.

This person will help turn our AI GTM strategy into working systems. That means building and managing AI agents that can research accounts, enrich leads, score fit, monitor buying signals, support SDR outreach, improve CRM data quality, and help activate audiences across email, ads, events, and partner motions.

Reporting into the Marketing Operations and AI Strategy organization, you will be a hands-on builder responsible for connecting systems, designing agent workflows, improving automation quality, and helping Marketing move from manual execution to scalable AI-assisted GTM operations.

What You’ll Drive
  • AI Agent Development & Workflow Automation

    ● Build, configure, test, and optimize AI agents that support Marketing and SDR workflows across prospecting, enrichment, scoring, routing, outreach, and reporting
    ● Develop agentic workflows using tools such as Claude, Clay, MCP, Snowflake, Salesforce, HubSpot, Outreach, Gong, and related GTM systems
    ● Translate business requirements into structured AI workflows that can operate reliably, repeatably, and at scale
    ● Build agents that monitor key GTM signals such as job changes, hiring velocity, funding events, web intent, content engagement, and account fit
    ● Create workflows that reduce manual research and give SDRs better prioritized accounts, stronger contact context, and cleaner outreach hooks

    GTM Signal Intelligence & Prospecting Automation

    ● Help build and scale autonomous prospecting motions that identify ICP-fit accounts and contacts based on real-time buying signals
    ● Support ICP fitness scoring workflows that assess inbound leads, event leads, partner leads, and prospecting lists before they move into downstream systems
    ● Build logic that blends signal-based prospecting with broader whitespace nurture motions
    ● Develop workflows that help SDRs prioritize the right accounts at the right time with the right message
    ● Partner with Marketing, SDR, and RevOps teams to ensure AI-driven prospecting aligns with pipeline goals, territory strategy, and campaign priorities

    Data Orchestration & System Connectivity

    ● Connect and normalize data across Salesforce, HubSpot, Clay, Snowflake, Outreach, Gong, LinkedIn Ads, HockeyStack, and other GTM platforms
    ● Build structured inputs, data models, prompts, API workflows, and JSON-based logic that allow AI agents to take action with clean context
    ● Support audience segmentation workflows across cold, warm, and hot account/contact cohorts
    ● Help operationalize Snowflake and other data sources as audience and intelligence layers for AI-powered GTM activation
    ● Partner with Marketing Operations, RevOps, Data, and IT teams to make sure agent workflows are secure, governed, and aligned with system architecture

    CRM Hygiene & Data Quality Agents

    ● Build and maintain AI-powered data quality workflows that improve the accuracy of CRM and marketing data
    ● Support agents for employment verification, LinkedIn URL enrichment, region/location detection, account/contact enrichment, and stale data detection
    ● Design workflows that catch bad records before SDRs waste time on outdated contacts or inaccurate account information
    ● Improve the quality of downstream workflows by ensuring agent decisions are based on clean, current, and complete data
    ● Partner with Salesforce and HubSpot system owners to write back useful intelligence in a structured and governed way

    AI-Powered SDR & Marketing Activation

    ● Build workflows that support AI-generated email sequences, personalized outreach hooks, account research summaries, and meeting preparation briefs
    ● Help connect outbound email, LinkedIn Ads, website intent, events, and partner motions into a more unified activation model
    ● Support agent workflows for event and user group planning, including geographic intelligence based on pipeline, whitespace, and ICP contact density
    ● Partner with SDR leadership to improve rep efficiency, reduce manual research, and increase time spent on high-value conversations
    ● Help create feedback loops that improve messaging, scoring, segmentation, and workflow performance over time

    AI Governance, Testing & Optimization● Test agent outputs for accuracy, consistency, brand alignment, and business usefulness
    ● Build repeatable QA processes for prompts, structured inputs, workflow logic, and agent-generated outputs
    ● Identify where human review is required versus where automation can safely run independently
    ● Monitor workflow performance and recommend improvements based on adoption, output quality, conversion impact, and operational efficiency
    ● Partner with Security, IT, and Operations teams to ensure AI workflows follow internal governance and data handling standards
WHAT YOU BRING
  • Must-Have

    ● 4+ years of experience in Marketing Operations, Revenue Operations, GTM Systems, AI Operations, Marketing Automation, or a related technical GTM role
    ● Hands-on experience building workflows across GTM systems such as Salesforce, HubSpot, Clay, Outreach, Gong, LinkedIn Ads, Snowflake, or similar platforms
    ● Strong understanding of B2B SaaS funnel motions, including lead routing, SDR workflows, campaign attribution, pipeline creation, and account-based marketing
    ● Experience working with AI tools such as Claude, ChatGPT, Cursor, Claygent, or similar AI workflow platforms
    ● Ability to build structured prompts, workflow logic, decision trees, and reusable AI instructions that produce consistent outputs
    ● Familiarity with APIs, webhooks, JSON, data enrichment, field mapping, and cross-system automation
    ● Strong understanding of CRM data structure, including leads, contacts, accounts, campaigns, opportunities, activities, and custom fields
    ● Ability to translate business problems into practical technical workflows without over-engineering the solution
    ● Strong analytical and troubleshooting mindset with the ability to diagnose workflow failures, data issues, and process gaps
    ● Comfortable working cross-functionally with Marketing, SDR, RevOps, Sales, Data, IT, and Security stakeholders

    Nice-to-Have

    ● Experience with Claude Managed Agents, MCP, Clay, Snowflake, HockeyStack, Gong, Outreach, or similar AI-native GTM tools
    ● Experience building AI agents for SDR prospecting, lead enrichment, account research, CRM hygiene, or outbound personalization
    ● Familiarity with Python, SQL, JavaScript, or low-code automation platforms
    ● Experience with vector databases, RAG workflows, Pinecone, or structured knowledge retrieval
    ● Experience with Salesforce administration, HubSpot operations, campaign operations, or marketing automation architecture
    ● Experience supporting ABM, intent-based marketing, paid audience sync, or multi-channel GTM activation
    ● Experience in cybersecurity, identity security, enterprise SaaS, or another complex B2B selling environment
    ● Comfort working in a fast-moving environment where AI capabilities, tools, and internal processes are evolving quickly

    You’re the Type of Person Who

    ● Thinks like a systems builder, not just a task executor
    ● Gets excited about turning messy manual processes into scalable AI workflows
    ● Understands that great AI output depends on clean data, clear instructions, and strong process design
    ● Can build fast, test carefully, and improve continuously
    ● Knows when automation should act independently and when a human needs to stay in the loop
    ● Is comfortable working in the gray area between business strategy and technical execution
    ● Brings practical ideas, not science projects
    ● Can explain technical concepts clearly to non-technical stakeholders
    ● Wants to build the operating layer for the next generation of GTM execution

    Why This Role Matters

    ● You will help build the AI operating system for Marketing and SDR execution
    ● You will reduce manual research, improve lead quality, and help SDRs focus on the highest-value conversations
    ● You will improve how Saviynt captures, scores, enriches, and activates GTM signals
    ● You will help connect AI, data, systems, and human execution into one scalable GTM motion
    ● You will play a key role in moving Marketing Operations from workflow support to AI-powered revenue acceleration


If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!

Saviynt is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.