VP, AI Solutions Architect
dentsuBrooklyn (NY)
About the role
Overview:
In this VP role, you drive the design and delivery of enterprise-scale AI and agentic architectures within Merkle’s AI Solutions practice. You lead architecture work, platform strategy, and client-facing technical leadership to translate advanced AI capabilities into business value. You will shape reference architectures, integration patterns, and governance across a global team, advancing Merkle’s position at the forefront of enterprise AI adoption. This is a hands-on leadership role that combines technical depth with strategic influence to scale AI solutions for Fortune 500 clients. Compensation / Benefits Medical, vision, and dental insurance Life insurance Disability insurance 401k Flexible paid time off At least 15 paid holidays per year
Responsibilities:
Design end-to-end AI and agentic solutions for enterprise-scale needs (scalability, security, reliability, performance) Create reference architectures, patterns, and blueprints for common use cases (e.g., customer service, marketing personalization, analytics automation) Define integration approaches and MCP connectivity with platforms like Salesforce, Adobe, Microsoft, AWS, Google Cloud, Databricks, Snowflake Apply AI techniques (LLMs, multi-agent systems, RAG, CV, predictive analytics) to solve business problems Embed governance, privacy, and responsible AI requirements from the outset Guide evolution of Merkle’s AI platform emphasizing modularity, observability, and security Integrate third-party technologies and build reusable components, accelerators, and templates Lead hands-on prototyping, PoCs, and technical hackathons with clients and internal teams Conduct architectural reviews, mentor solution architects and AI engineers Translate research and platform roadmaps into practical enterprise apps Advise clients on technology choices, architecture decisions, and implementation strategies Run technical discovery to assess current state and identify AI opportunities Communicate with executive and technical audiences during deployment phases Collaborate with Technology Strategy, Data Science, Security, Cloud, and Practice teams Support Sales with technical solutioning, demos, and estimates
Key requirements:
12+ years in solution or enterprise architecture, software engineering, or technical consulting with at least 3 years delivering production generative AI/LLM systems Hands-on experience building agentic systems with modern orchestration frameworks (LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Claude Agent SDK, CrewAI) Knowledge of LLM evaluation and observability practices and tooling (LangSmith, Arize, Braintrust), plus RAG and vector search patterns Strong cloud-native architecture background and modern engineering practices (containers, microservices, CI/CD, DevOps) Ability to translate business goals into scalable, secure architectures and communicate trade-offs to diverse stakeholders Programming proficiency in Python, Java, C#, TypeScript/JavaScript Understanding of API design, event-driven integration, MCP, and production monitoring/observability Client-facing leadership Mentoring and coaching Strategic communication LangGraph Microsoft Agent Framework OpenAI Agents SDK
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