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 satisfaction.
• •Develop training sessions, documentation, and self-service resources to accelerate AI adoption among non-technical users. (Nice-to-have)

Required Skills And Experience

• •3+ years of hands-on experience with Generative AI tools and platforms, with a proven track record of delivering successful productivity or automation projects adopted by real users.
• •5+ years of experience in IT, automation, systems engineering, or a related technical role.
• •Proven experience delivering at least one end-to-end production deployment of a GenAI or agentic AI system in an enterprise environment — not just prototypes or POCs, but solutions actively used by business teams.
• •Strong hands-on proficiency with AWS Bedrock , Anthropic Claude (API, Claude Code, prompt engineering), and open-source AI tooling.
• •Demonstrated experience designing agentic AI workflows — including multi-agent orchestration, tool-use patterns, autonomous task execution, and deterministic execution patterns suitable for enterprise environments.
• •Experience with agentic AI frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Claude Agent SDK, Amazon Bedrock Agents, CrewAI , or equivalent orchestration tools for building autonomous, multi-step AI workflows.
• •Understanding of agentic design patterns : reflection, planning, tool use, multi-agent collaboration, human-in-the-loop checkpoints, and error recovery strategies.
• •Working experience with RAG architectures , vector databases, embeddings, and self-hosted AI knowledge base platforms (e.g., AnythingLLM).
• •Proficiency in Python for scripting, automation, and AI tool integration.
• •Strong understanding of data classification frameworks , LLM-specific risks (data leakage, prompt injection, hallucination, unintended autonomous actions), and corporate security policies in a multinational enterprise environment.
• •Experience working with non-technical stakeholders and translating business needs into technical solutions.
• •A solution-oriented, opinionated approach — you have a clear point of view on what works, what scales, and what's hype.
• •Highly organized and able to manage multiple priorities in a fast-paced environment.
• •Strong communication skills and the ability to convey AI capabilities and limitations to any audience.
• •Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience).

Nice-to-Have

• •Experience with Model Context Protocol (MCP) for building tool-integrated AI agents at scale.
• •Experience integrating AI workflows with enterprise business systems (Salesforce, SAP, ServiceNow, Workday, or similar).
• •Background in Ad Tech or experience working in a digital advertising environment.
• •Familiarity with change management frameworks and delivering training/enablement programs at scale.
• •Experience navigating multinational corporate governance structures (especially APAC-headquartered companies).
• •Relevant certifications: AWS AI Practitioner, AWS ML Specialty, Anthropic Claude certification , or equivalent.
• •Experience building or managing AI Centers of Excellence or similar enablement functions.
• •Fluency in Korean.

Skills and Qualifications

Why This Role Is Different

Unlike GenAI roles buried inside engineering orgs building internal tooling, this position puts you at the center of a company-wide AI transformation. You will have direct visibility with business leadership, a mandate to move fast, and the autonomy to shape how an entire organization works with AI.

You won't be optimizing model be