Senior GenAI Engineer — AI Enablement & Agentic Systems-1

Position Summary Samsung Ads focuses on enabling brands to connect with Samsung audiences across

all devices. As an international company, Engineers at Samsung work on big complex

projects with stakeholders and teams located around the globe.

Our purpose is to deliver unparalleled results for our customers. Samsung Ads uniquely

transforms the advertising landscape by using comprehensive data to build the world’s

most intelligent connected audience platform. We deliver on Samsung Electronics’

51-year commitment to excellence through smart, easy, effective advertising solutions to

make advanced video advertising work.

Role And Responsibilities What you will do As a Senior GenAI Engineer, you will be the hands-on driving force behind AI-powered productivity and automation across Samsung Ads. Reporting to the IT Director, you will work directly with non-technical teams across every department to identify, build, deploy, and scale Generative AI solutions that fundamentally improve how people work.

You will partner closely with a dedicated Product Owner and the Principal Architect from Engineering to shape and execute our GenAI enablement roadmap. While Engineering builds core platform capabilities, your focus is on the last mile — putting powerful, safe, and practical AI tools directly into the hands of business users.

A critical dimension of this role is designing and orchestrating agentic AI workflows — multi-step, autonomous processes where AI agents plan, reason, use tools, and execute complex tasks with minimal human intervention. As enterprises shift from simple prompt-based AI interactions toward agentic architectures, you will be responsible for identifying where autonomous AI workflows can replace manual, multi-step business processes — and building them safely within Samsung’s governance framework.

You are expected to be opinionated, delivery-oriented, and security-conscious in everything you do.

Key Responsibilities

• Design, build, and deploy GenAI-powered automation and productivity solutions for business teams across Sales, Marketing, Finance, HR, Legal, and Operations.
• Architect and implement complex agentic workflows that enable AI agents to autonomously handle multi-step business processes — including task decomposition, tool orchestration, decision-making loops, and human-in-the-loop checkpoints where required.
• Design and maintain multi-agent orchestration patterns, where specialized AI agents collaborate on complex tasks such as document analysis, research synthesis, data transformation, and cross-system process automation.
• Serve as the primary hands-on technical resource for our AI tooling ecosystem, including AWS Bedrock, Claude, AnythingLLM, and our homegrown GenAI platform built on open-source tools.
• Identify high-impact use cases through direct engagement with business stakeholders, translating pain points into practical AI-driven workflows — with a specific focus on processes that benefit from autonomous, adaptive execution rather than simple prompt-response interactions.
• Build and maintain custom AI agents, prompt chains, RAG pipelines, and integrations tailored to departmental needs.
• Integrate agentic AI workflows with existing enterprise applications and business systems (e.g., CRM, HRIS, finance tools, collaboration platforms) to enable end-to-end process automation across departments.
• Define guardrails, escalation paths, and human oversight mechanisms for agentic workflows to ensure autonomous AI actions remain safe, auditable, and aligned with Samsung’s internal policies.
• Develop evaluation frameworks for AI tools and agentic systems based on production requirements — including accuracy benchmarks, latency, cost-per-task, and compliance criteria — not vendor demos.
• Evaluate and recommend new AI tools and vendors in collaboration with the Architecture team, including hands-on proof-of-concepts to support build-vs-buy decisions.
• Ensure every AI solution deployed adheres to Samsung’s internal security and privacy policies, including data classification requirements mandated by HQ (South Korea).
• Proactively assess data exposure risks of any AI tool or workflow before deployment and maintain a clear inventory of all AI tools, their data flows, and classification levels.
• Define and track KPIs for every AI initiative: workflows automated, hours saved, adoption rates, and user sati…