
Let there be change.
Lead Machine Learning Engineer/ AI Systems Architect
복지 및 혜택
•의료보험
•유연 근무제
•심리상담 지원
•교육비 지원
필수 스킬
Python
Machine Learning
Generative AI
LLMs
Prompt engineering
RAG
Cloud platforms
Docker
Kubernetes
Agent frameworks
About us
Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people, cutting-edge technology, and leading companies across various industries, making a significant impact worldwide.
We’re looking for a senior engineer with a strong foundation in software development and applied AI systems who can design, implement, and deploy Generative AI and Agentic AI solutions in modern cloud environments.
The ideal candidate will bridge the gap between AI model capabilities and real-world integration — orchestrating LLMs, agents, data systems, and scalable infrastructure into intelligent, production-ready applications.
What you need to succeed:
Core Engineering Fundamentals (Must-Have)
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Proficiency in Python as the primary language for AI development.
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Solid understanding of APIs, REST/GraphQL, and integration patterns.
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Experience working with databases — both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB, CosmosDB).
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Familiarity with version control (Git), testing, and CI/CD pipelines for automated deployments.
Generative AI Foundations
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Hands-on experience using Large Language Models (LLMs) such as GPT, Claude, Gemini, or Llama.
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Practical skill in prompt engineering (zero-shot, few-shot, chain-of-thought, and dynamic prompting).
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Understanding of tokenization, context windows, and model inference constraints — i.e., how model size, context limits, latency, and cost impact runtime behavior and system design.
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Ability to design and implement retrieval-augmented generation (RAG) pipelines for enterprise or domain-specific contexts.
Cloud Infrastructure & MLOps
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Experience deploying AI workloads on cloud platforms (e.g., Azure, GCP, AWS, or private cloud).
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Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable AI services.
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Understanding of infrastructure-as-code tools (e.g Terraform, Pulumi or CloudFormation) and monitoring/observability frameworks (Prometheus, Grafana, Open Telemetry).
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Exposure to CI/CD, model deployment pipelines, and cloud-based inference endpoints.
Agentic AI & Orchestration
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Knowledge of agent frameworks (e.g., Lang Chain, Auto Gen, CrewAI, Llama Index) and agent-based reasoning architectures — systems where LLMs can plan, act, and collaborate through structured reasoning loops (e.g., Re Act, planner–executor, or multi-agent designs).
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Experience integrating LLMs with tools, APIs, and knowledge bases to enable autonomous or semi-autonomous workflows.
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Ability to design multi-agent systems that coordinate task planning, execution, and evaluation.
Your life at Accenture
At Accenture, we prioritize your health and well-being through comprehensive health insurance coverage and inclusive work arrangements. We value your growth and offer diverse learning and development paths, along with performance-based rewards. You'll also have access to resources for mental health and physical wellness, ensuring inclusivity and support. We provide additional financial support, flexible benefits, and care for your loved ones, respecting diverse circumstances.
Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.
The position is available exclusively for collaboration under an individual working contract (CIM).
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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Accenture 소개

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
직원 수
Dublin
본사 위치
$139B
기업 가치
리뷰
9개 리뷰
3.6
9개 리뷰
워라밸
2.8
보상
3.2
문화
3.4
커리어
3.7
경영진
3.1
62%
지인 추천률
장점
Good career growth and learning opportunities
Great culture and work environment
Good compensation and benefits
단점
Office politics and political environment
Long hours and stressful work
Low starting salary below market rate
연봉 정보
21개 데이터
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
L3
L4
L5
L2 · Data Scientist L2
0개 리포트
$14,221
총 연봉
기본급
$5,688
주식
$7,111
보너스
$1,422
$9,955
$18,487
면접 후기
후기 1개
난이도
3.0
/ 5
소요 기간
14-28주
합격률
100%
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
자주 나오는 질문
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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