AIエンジニア - テクノロジーコンサルティング本部 (Data＆AI) at Accenture

Tokyo, Japan

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consulting, Information TechnologyIndustries

Requirements

システム開発経験
各種業務システムの導入経験 (アプリケーション、ソフトウェア、インフラストラクチャ問わず)
業務要件定義、システム要件定義、設計・開発・テスト、移行(システム移行、業務移行)、プロジェクト管理経験、運用設計、といった一連のシステム企画～開発～運用までの一部、若しくはすべての工程の経験

Responsibilities

お客様の業務変革を実現するためのAIやその他のテクノロジーを組み合わせたシステム開発
アクセンチュア社内の他部門と横断でチームを組成してのプロジェクト推進
お客様向けのプロジェクトだけでなく、自社のシステムインテグレーションや、運用保守の手法、働き方の変革
生成AIを活用したソリューションの開発、導入
上記の要素を踏まえ、グローバルのチームと連携した新たな価値創造

Skills

Key technologies and capabilities for this role

PythonJavaTensorFlowPyTorchKerasLLMPrompt EngineeringLangChainRAGAgileCloud Services

Questions & Answers

Common questions about this position

What experience is required for the AI Engineer position?

Candidates must have system development experience, experience introducing various business systems (applications, software, infrastructure), and experience in some or all stages of system planning to development to operations, including business requirements definition, system requirements definition, design, development, testing, migration, project management, and operations design.

What desirable skills are preferred for this role?

Preferred skills include foundational knowledge of generative AI (LLM, Prompt Engineering, LangChain, Responsible AI), experience developing generative AI applications (e.g., RAG architecture), data analysis experience, proficiency in Python or Java with frameworks like TensorFlow, PyTorch, Keras, agile development, cloud services, and business-level English.

Is prior AI experience required for this AI Engineer role?

No, AI technical experience is not required; candidates with a foundation in system development who are eager to learn new technologies and ways of working will receive training and support after joining.

What is the work arrangement or location for this position?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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