3 months ago
Base Salary
$163k - $263k/yr
Responsibilities
- Design end-to-end AI and agentic architectures that meet enterprise scalability, security, reliability, and performance requirements.
- Create reusable reference architectures, patterns, blueprints, components, accelerators, and templates.
- Define integrations, APIs, and Model Context Protocol connectivity across AI services and enterprise platforms.
- Apply LLMs, multi-agent systems, retrieval-augmented generation, computer vision, and predictive analytics to business problems.
- Guide the evolution of Merkle’s AI platform and establish standards for orchestration, evaluation, quality gates, data pipelines, monitoring, observability, and responsible AI.
- Lead hands-on prototypes, proofs of concept, technical hackathons, architectural reviews, and technical deep dives.
- Advise clients on technology selection, architecture decisions, implementation strategies, AI opportunities, and delivery risks.
- Mentor solution architects and AI engineers and translate emerging research and platform roadmaps into enterprise applications.
- Collaborate with Technology Strategy, Data Science, Security, Cloud, and Practice teams on roadmaps and governance.
- Support Sales with technical solutioning, demonstrations, and estimates.
Requirements
- 12+ years of progressive experience in solution architecture, enterprise architecture, software engineering, or technical consulting.
- At least 3 years of experience designing and delivering production generative AI or LLM systems.
- Hands-on experience building agentic systems with modern orchestration frameworks such as LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Claude Agent SDK, or CrewAI.
- Experience with LLM evaluation and observability tooling, RAG, vector search patterns, API design, event-driven integration, Model Context Protocol, and production monitoring.
- Strong background in cloud-native architectures and modern engineering practices, including containers, microservices, CI/CD, and DevOps.
- Proficiency in one or more of Python, Java, C#, or TypeScript/JavaScript.
- Experience with managed cloud AI and agent platforms such as Microsoft Foundry, AWS Bedrock, AgentCore, Google Gemini Enterprise, or Vertex AI is preferred.
- Experience with Adobe Experience Cloud, AEM, AEP, GenStudio, AEP Agent Orchestrator, Salesforce, Agentforce, Data Cloud, Braze, Shopify, or Marketplacer is preferred.
- Classical ML experience, including PyTorch, predictive modeling, or MLOps, is preferred.
- Experience building technical practices or communities of practice and mentoring senior technical talent is preferred.
- Thought leadership through publishing, speaking, or open-source contributions is preferred.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
- Relevant AI/ML, cloud, or enterprise architecture certifications are a plus.
Benefits
- Annual base salary range of $163,000–$263,062 plus eligibility for discretionary incentive compensation.
- Medical, vision, and dental insurance.
- Life insurance and short- and long-term disability insurance.
- 401k, flexible paid time off, at least 15 paid holidays per year, paid sick and safe leave, and paid parental leave.
- Full-time permanent position based in the United States with flexible work arrangements.
- Hybrid work is available in New York, Chicago, and Detroit with 3 days in the office; US-based remote candidates may apply depending on location and business needs.
- 30–40% travel to client sites and Merkle offices is required.
Tech Stack
Categories
Solutions Engineering
About Dentsu
Dentsu is a global advertising and marketing services group that plans and buys media, develops creative campaigns, and builds data- and technology-led customer experiences for brands. It earns revenue from agency fees and media services across a network that includes Carat, iProspect, and Merkle. Founded in 1901 and headquartered in Tokyo, Dentsu is publicly traded in Japan and serves clients across many sectors worldwide.