2 hours 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
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.