> Markdown version of [/jobs/ext/3570045-generative-ai-technical-lead](https://www.wearedevelopers.com/jobs/ext/3570045-generative-ai-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Technical Lead - **Company:** TIAA - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $184,000.0 - $304,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Programming, Data Cleansing, Machine Learning, Microsoft Dynamics, Azure Machine Learning, Software Deployment, Software Engineering, Systems Integration, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Functional Dependencies, Kubernetes, AIOps, Legacy Systems - **Published:** October 3, 2026 - **Apply:** https://dejobs.org/x/x/C073ACE028984A70B923B1559276448A/job/ ## About the Role * University (Degree) Work Experience * 5-7 years Required * 7+ years Preferred, * 5+ years of experience in Software Engineering with an understanding of AIOps and production deployment practices. * 3+ years of experience in AI Technical Products * Experience designing and developing AI solutions (generative AI and/or agentic AI systems). Preferred Qualification: * Experience delivering enterprise production AI solutions and integrating with enterprise tools. * Strong AI engineering skills spanning model integration, prompt engineering, orchestration frameworks, evaluation, and productionizing AI systems. * A track record of building enterprise AI solutions and successfully navigating the complexity of large organizations-legacy systems, data silos, security constraints, and cross-functional dependencies. * Excellent stakeholder communication skills, with the ability to bridge business needs and technical execution. * Demonstrated ability to move fast-building quick POCs and iterating based on feedback. * Solid grounding in the broader AI/ML ecosystem and a genuine curiosity that keeps you on top of recent advancements. * Experience with major cloud AI platforms like AWS and AI/ML services. * Familiarity with agentic frameworks, RAG architectures, vector databases, and LLM orchestration tools. * Prior experience leading or mentoring technical teams. Related Skills Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics ## Description * Design, develop, and deploy production-grade AI solutions-including generative AI and agentic AI systems-that address real business needs across the organization * Partner closely with business stakeholders to translate pain points and requirements into technical solutions, serving as a bridge between non-technical partners and engineering teams * Rapidly prototype and iterate on AI proof-of-concepts, gathering stakeholder feedback to refine solutions before moving to production * Architect and implement AI systems leveraging cloud AI platforms (e.g., AWS), agentic frameworks, RAG architectures, vector databases, and LLM orchestration tools * Navigate enterprise complexity-including legacy systems, data silos, security constraints, and cross-functional dependencies-to successfully deliver AI solutions at scale * Apply strong software engineering practices, including AIOps and production deployment standards, to ensure AI systems are reliable, scalable, and maintainable * Lead and mentor technical team members while staying current on emerging AI/ML advancements to continuously evolve the organization's AI capabilities ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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