AI Research and Innovation - Gen AI (Lead, Manager, Sr. Manager, Associate Director) at Accenture

Taguig, Metro Manila, Philippines

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

PhD or Master's Degree in CS/EE/Math/AI/Statistics/Data Science/Electronics/Electronics and Communication from top-tier institutes (IIT/IISc/ISI/IIIT or similar premium institutes)
8–20 years total experience, with 4+ years (ideally 5+ years post-PhD/Master's) in AI R&D, teaching, or related fields
Deep expertise in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing
Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems
Strong understanding of LLMs and their integration into agentic workflows
Experience with frameworks like LangChain, AutoGPT, or similar
Proven track record of innovation and publications in top-tier conferences
Passion for cutting-edge research and making tangible impact

Responsibilities

Build novel solutions to challenging industry problems using Gen AI models across modalities (Text, Image, Video, Speech & Audio, Multi-modal)
Develop new algorithms, enhance existing models, and explore novel applications of AI, including Agentic AI (autonomous, goal-driven intelligent systems)
Lead research projects
Publish in top-tier conferences
Collaborate with Responsible AI, Delivery leads, and Academia
Develop real-world applications in areas like digital assistants, healthcare agents, enterprise automation
Mentor and build the next wave of AI talent

Skills

Key technologies and capabilities for this role

Generative AIArtificial IntelligenceMachine LearningNatural Language ProcessingComputer VisionSpeech ProcessingMulti Modal ProcessingAgentic AIAI ResearchDeep Learning

Questions & Answers

Common questions about this position

What education is required for this AI Research role?

A PhD or Master's Degree in CS/EE/Math/AI/Statistics or similar from top-tier institutes like IIT/IISc/ISI/IIIT is required.

What experience level is needed for this position?

Candidates need 8–20 years total experience, with 4+ years post-PhD/Master's in AI R&D or teaching; specifically 15-18 years overall and 5+ years relevant post-PhD experience.

What are the key technical skills for this role?

Deep expertise in reinforcement learning, autonomous agents, multi-agent systems, LLMs and their integration, plus experience with frameworks like LangChain or AutoGPT, and a proven track record of publications.

What does a typical day involve in this AI position?

Responsibilities include building novel solutions for industry challenges, leading research projects and publishing in top conferences, collaborating with Responsible AI teams and academia, developing real-world applications, and mentoring AI talent.

Is this a remote position or does it require office work?

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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