Senior AI Solutions Architect — Generative AI & Enterprise

Accenture in the Philippines

Quezon City

On-site

PHP 1,800,000 - 2,400,000

Full time

4 days ago
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Job summary

Accenture in the Philippines is seeking an experienced AI Professional to design, develop, and scale AI and Generative AI solutions for enterprise challenges. You will work with cross-disciplinary teams to translate business needs into practical AI-enabled outcomes.

Roles may span delivery, architecture, consulting, innovation, or platform engineering, with emphasis on scalable, secure, and responsible AI in real-world settings.

Qualifications

  • Relevant professional experience applying AI, data, analytics, or advanced technologies in a work environment.
  • Hands-on experience in AI/ML/Generative AI development or application or data-focused domains.
  • Ability to work effectively in complex and ambiguous problem environments.
  • Strong communication skills and ability to collaborate across multidisciplinary teams.
  • Learning mindset and adaptability in a rapidly evolving technology landscape.

Responsibilities

  • Design, build, deploy, or scale AI and Generative AI solutions for enterprise use.
  • Apply AI across data, analytics, platforms, products, operations, and decision-making.
  • Translate business requirements into practical, scalable AI-enabled solutions.
  • Collaborate with engineers, data scientists, architects, designers, and industry specialists.
  • Contribute to enterprise-grade AI implementations with consideration for scalability, security, and responsible AI.
  • Stay current with emerging AI technologies, tools, and trends and apply them in real-world scenarios.

Skills

AI/ML development
Generative AI
Data analytics
Cross-functional collaboration
Communication skills

Job description

Accenture in the Philippines is seeking an experienced AI Professional to design, develop, and scale AI and Generative AI solutions for enterprise challenges. You will work with cross-disciplinary teams to translate business needs into practical AI-enabled outcomes.

Roles may span delivery, architecture, consulting, innovation, or platform engineering, with emphasis on scalable, secure, and responsible AI in real-world settings.

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