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
Photon New York, New York, USA Office
New York, United States
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads strategy, roadmap, investment, and execution for horizontal AI capabilities, shared AI platforms, and AI-native cybersecurity products. Translates AI research into reliable, secure, scalable customer solutions; drives adoption across product teams; establishes launch and autonomy criteria; partners with customers and cross-functional leaders on commercialization; and builds a high-performing AI product organization.
Top Skills:
Ai InfrastructureArtificial IntelligenceAutonomous SystemsCybersecurityDistributed SystemsMachine Learning
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Develop and operate Go-based, globally available distributed systems that enable petabyte-scale data ingestion for NG-SIEM. Solve scalability, reliability, latency, availability, and cost challenges while supporting multi-region production systems. Collaborate with UI, UX, data science, and engineering teams, contribute to platform initiatives, and help develop AI-enabled autonomous data-onboarding capabilities.
Top Skills:
Amazon Web Services (Aws)Apache KafkaDockerGoGoogle Cloud Platform (Gcp)KubernetesAzure
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads complex, cross-functional technical programs for the Superintelligence Lab. Responsibilities include roadmap execution, milestone and dependency management, risk mitigation, issue resolution, stakeholder alignment, leadership reporting, and implementing program-management best practices. The role requires collaboration with engineering, data science, and leadership teams while using AI technologies and Jira to improve workflows, decision-making, and business outcomes.
Top Skills:
AgileArtificial IntelligenceData ScienceJIRAKanbanMachine LearningScaled AgileScrum
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
