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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Full-Stack AI Engineer - **Company:** New York, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $124,000.0 - $177,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Frameworks, Cloud Computing, Cloud Engineering, Continuous Integration, Programming Tools, Distributed Systems, Graph Database, Knowledge Management, Knowledge-Based Systems, Search Technologies, Software Engineering, AI Infrastructure, Datadog, Google Cloud, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/job/us78906baef78bacb9aa6a6a00f666bb92/eaa ## About the Role * 5-8+ years of software engineering experience. * Strong experience building enterprise platforms, cloud-native systems, or distributed applications. * Hands-on expertise with generative AI technologies, agentic architectures, RAG, memory systems, retrieval solutions, and enterprise AI applications. * Experience implementing MLOps and LLMOps capabilities in production environments. * Strong cloud engineering experience with Google Cloud Platform, Kubernetes, CI/CD, Infrastructure as Code, and observability tooling. * Proven ability to lead complex technical projects and influence architecture decisions. * Experience mentoring engineers and driving engineering best practices. ## Description As a Lead Full-Stack Engineer, you will play a key role in shaping and evolving New York Life's enterprise AI platform while building scalable agentic AI solutions that drive business transformation. You will collaborate closely with business stakeholders to lead technical initiatives, shape architecture decisions, and mentor engineers, while remaining highly hands-on in the design, development, deployment, and operation of production AI systems. What You'll Do * Lead the design and implementation of enterprise AI platform capabilities, including agent runtimes, lifecycle services, orchestration frameworks, memory services, governance systems, and developer tooling. * Build and deliver complex agentic AI solutions using multi-agent architectures, knowledge systems, planning frameworks, and enterprise integrations. * Architect enterprise retrieval and knowledge management capabilities using RAG, knowledge graphs, semantic search, embeddings, and advanced retrieval approaches. * Design scalable cloud-native AI infrastructure using Google Cloud Platform, Kubernetes, Infrastructure as Code, observability frameworks, and enterprise identity services. * Lead implementation of MLOps and LLMOps practices including deployment, evaluation, monitoring, governance, cost optimization, and production operations. * Partner with architecture, security, legal, risk, and business stakeholders to ensure solutions meet enterprise standards. * Drive engineering excellence through architecture reviews, reusable frameworks, technical mentorship, and operational best practices. * Champion AI-assisted software engineering and help establish engineering patterns that accelerate delivery and quality., * Build across the full AI stack. Work on both the enterprise platform and the intelligent solutions built on top of it. * Solve meaningful business problems. Develop production agentic AI systems that transform how work is performed across New York Life. * Join a senior engineering team. Work alongside experienced engineers in a high-autonomy, high-ownership environment with minimal bureaucracy. * Shape enterprise AI. Help define the engineering standards, governance patterns, and technical foundation that will enable AI across the organization. * Build for the long term. This is a strategic platform investment focused on scalable, production-ready capabilities-not short-lived experiments. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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