Designs, develops, and operates enterprise-grade platforms for AI agents and Generative AI applications. Responsibilities include agent orchestration, LLM and AI service integration, secure tool and API invocation, prompt lifecycle management, governance and safety controls, observability, model evaluation, deployment, troubleshooting, and platform optimization. The role collaborates with engineering, security, product, and data teams to deliver scalable, reliable, and compliant AI solutions.
GenAI / Agent Platform Engineer Experience
6-10 Years
Job Title
GenAI / Agent Platform Engineer
Job Summary
We are seeking an experienced GenAI / Agent Platform Engineer to design, develop, and operate enterprise-grade AI agent platforms that enable the deployment of intelligent, scalable, and secure Generative AI solutions. The ideal candidate will have expertise in AI agent orchestration, Large Language Model (LLM) integration, tool and API invocation frameworks, prompt engineering, policy enforcement, observability, and platform reliability.
This role focuses on building the foundational platforms, services, and governance frameworks that power AI agents, copilots, and autonomous workflows across the enterprise while ensuring security, compliance, and operational excellence.
Key Responsibilities
- Design and develop scalable platforms for deploying and managing AI agents and GenAI applications.
- Build and maintain agent orchestration frameworks supporting multi-agent workflows and autonomous task execution.
- Integrate Large Language Models (LLMs), foundation models, and AI services from cloud and third-party providers.
- Develop secure mechanisms for tool invocation, API integrations, and workflow automation.
- Implement prompt management, prompt versioning, and prompt optimization strategies.
- Establish AI governance controls, policy enforcement, and safety guardrails to ensure responsible AI usage.
- Design and implement telemetry, monitoring, and observability solutions for AI platform operations.
- Develop evaluation frameworks to measure model quality, latency, accuracy, cost, and reliability.
- Collaborate with engineering, security, product, and data teams to deliver AI-powered solutions.
- Optimize platform performance, scalability, and operational efficiency.
- Support AI model deployment, testing, troubleshooting, and lifecycle management.
- Create technical documentation, architecture diagrams, and platform standards.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- 6-10 years of software engineering, platform engineering, AI engineering, or cloud engineering experience.
- Strong understanding of Generative AI, LLMs, and AI agent architectures.
- Experience building enterprise-grade APIs, microservices, and distributed systems.
- Hands-on experience integrating and managing AI models and AI service platforms.
- Knowledge of prompt engineering, prompt lifecycle management, and AI safety principles.
- Experience with cloud-native application development and containerized environments.
- Strong problem-solving, analytical, and troubleshooting skills.
- Excellent communication and stakeholder management capabilities.
Compensation, Benefits and Duration
Minimum Compensation: USD 37,000
Maximum Compensation: USD 132,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Minimum Compensation: USD 37,000
Maximum Compensation: USD 132,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Machine Learning • Payments • Security • Software • Financial Services
Leads complex, multi-workstream product initiatives as a principal Product Owner. Owns product vision, strategy, backlog integrity, prioritization, and Scrum team alignment. Coordinates Product, Engineering, Design, Delivery, and other stakeholders; improves execution discipline, transparency, and outcome tracking. Stabilizes programs with fragmented ownership or elevated delivery risk while ensuring customer and business requirements are addressed. Requires substantial Product Owner or Senior Product Manager experience, preferably in payments or financial services.
Top Skills:
Agile DevelopmentData VisualizationScrumUx Design
Software • Analytics • Hospitality
Leads revenue recognition, billing, accounts receivable, collections, audit readiness, and financial control operations. Ensures ASC 606 and GAAP compliance, manages billing platforms and ERP integrations, drives automation and AI adoption, develops scalable processes, partners cross-functionally, reports financial metrics, and supervises accounting staff. Requires extensive revenue accounting and billing experience in SaaS or software, management expertise, and strong technical accounting knowledge.
Top Skills:
Ai-Enabled Accounting Automation ToolsBilling PlatformsErp SystemsExcelMicrosoft OutlookMicrosoft WordNetSuiteOracleSAP
Software • Analytics • Hospitality
Leads revenue recognition, billing, accounts receivable, collections, audit readiness, and financial controls. Owns ASC 606 compliance, billing systems, process automation, AI-enabled accounting improvements, reporting, and cross-functional alignment. Manages and mentors the accounting team while supporting scalable revenue operations and public-company readiness.
Top Skills:
Ai-Enabled Automation ToolsAsc 606GaapExcelMicrosoft OutlookMicrosoft WordNetSuiteOracleSAP
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
