"The rise of autonomous AI agents is reshaping how marketers automate campaigns, making expertise in Agentic AI a hot commodity. Companies are hunting professionals who can blend large language models with Martech platforms to deliver smarter, data\u2011driven experiences. This Agentic AI Lead role in New York offers a unique chance to lead cutting\u2011edge projects while working in a hybrid environment.\n\n# Job Summary\nLead the design, development, and production deployment of agentic AI solutions on Martech platforms such as Adobe Experience Cloud and Salesforce. Oversee end\u2011to\u2011end integration of LLMs, retrieval\u2011augmented generation, and prompt orchestration frameworks (LangChain, CrewAI) while guiding a cross\u2011functional team of full\u2011stack engineers. Ensure robust MLOps, cloud scalability, and compliance through background checks and continuous monitoring.\n\n# Top 3 Critical Skills Table\n| Skill | Why it's critical | Mastery Level |\n|-------|-------------------|---------------|\n| Agentic AI development (LLMs, RAG, orchestration) | Drives the core product that automates marketing workflows | Senior |\n| Martech stack integration (Adobe, Salesforce, Google) | Connects AI capabilities to real\u2011world marketing data | Senior |\n| Full\u2011stack engineering (React, Java/Spring Boot) | Enables end\u2011user interfaces and backend services for AI solutions | Senior |\n\n# Interview Preparation\n1. **Question:** Describe how you would design an agentic AI workflow that pulls customer data from Adobe Experience Cloud, enriches it with a LLM, and triggers a personalized email campaign.\n **What the interviewer is looking for:** Understanding of data pipelines, LLM prompting, integration points, and end\u2011to\u2011end orchestration.\n\n2. **Question:** Explain the differences between LangChain and CrewAI for prompt management and when you would choose one over the other.\n **What the interviewer is looking for:** Depth of knowledge of orchestration frameworks and trade\u2011offs.\n\n3. **Question:** Walk us through your MLOps strategy for deploying a large language model in production on AWS/GCP/Azure.\n **What the interviewer is looking for:** Experience with CI/CD, containerization, monitoring, and cost\u2011effective scaling.\n\n4. **Question:** How do you ensure security and compliance when handling sensitive marketing data in an autonomous AI system?\n **What the interviewer is looking for:** Awareness of data privacy, encryption, role\u2011based access, and background\u2011check requirements.\n\n5. **Question:** Provide a code snippet that uses Claude or Code Interpreter to generate dynamic content based on a user prompt, and explain how you would test it.\n **What the interviewer is looking for:** Practical coding ability, testing methodology, and familiarity with AI development tools.\n\n# Resume Optimization\n- Agentic AI\n- Large Language Models (LLM)\n- Retrieval\u2011Augmented Generation (RAG)\n- Martech platforms (Adobe, Salesforce, Google)\n- LangChain\n- CrewAI\n- Full\u2011stack development (React, Java, Spring Boot)\n- Python, TensorFlow, PyTorch\n- Cloud (AWS, Azure, GCP) & MLOps\n- Prompt orchestration\n\n# Application Strategy\nWhen reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and clearly map your experience to the role. Highlight your top skills such as Agentic AI development, Martech integration, and full\u2011stack engineering. Reference specific projects where you built end\u2011to\u2011end AI solutions, and mention any certifications or background\u2011check clearance you have. End by expressing enthusiasm for the hybrid New\u202fYork position and your readiness to discuss further.\n\n# Career Roadmap\n| Current Role | Typical Experience | Core Focus | Next Position |\n|--------------|-------------------|------------|---------------|\n| Agentic AI Lead | 12+ years in AI/Martech | End\u2011to\u2011end AI product ownership | AI Solutions Architect |\n| AI Solutions Architect | 3\u20135 years leading enterprise AI initiatives | Architecture, strategy, stakeholder alignment | Director of AI Engineering |\n| Director of AI Engineering | 5+ years managing multiple AI squads | Portfolio management, budgeting, innovation | VP of AI & Automation |"