Jobs
Required Skills
Python
Generative AI
Large Language Models
Job Description
Job Title: AI Applied Researcher (2 roles)
Management Level: 8
Must have skills: GenAI/NLP/LLM (transformers, embeddings, context engineering, fine-tuning, small language models); python programming; applied research & quick prototyping; AI soution design; innovation & IP generation; scientific communication & academic engagement
**Experience Proven experience-**PhD; 4+ years in applied research
Educational Qualification:, strong problem-solving and communication skills, domain expertise in either healthcare or financial services is preferred.
You May Also Need: agentic frameworks (Lang Graph, Auto Gen, Semantic Kernel); cloud platforms (Azure, AWS, GCP);
Job Summary:
In your role you will be expected to:
Frame business problems and identify value from AI; incubate and prototype new ideas and concepts that are expected to have a significant strategic near-term impact on our clients’ businesses; have a good understanding of the potential utility, limitations and challenges of a wide range of GenAI/NLP/LLM techniques and keep abreast of new developments in academic research and industry applications; steer and shape the development of the Innovation pipeline around GenAI/NLP/LLM (both in terms of new technologies and in terms of business applications); learn new skills and nurture new capabilities in your project teams to take advantage of emerging GenAI/NLP/LLM technologies & their application; contribute to intellectual property creation and thought leadership by generating patentable ideas, publishing high-quality technical or scientific papers, and representing the organization in external research communities, conferences, and consortia.
Additional Information:
What We Are Looking For: 40005931 - Innovation Research Assoc Principal
About Our Company | Accenture
Experience Proven experience-
- Experience in researching and developing technical solutions within a collaborative environment.
- Demonstrated expertise in one or more specific technical fields relevant to the R&D focus."
Educational Qualification:, Master's in Computer Science / Software Engineering / AI (M.Tech or MS)
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, military veteran status, sexual orientation, gender identity or expression, genetic information, 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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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Senior/L5
L2 · Data Scientist L2
0 reports
$14,221
total / year
Base
$5,688
Stock
$7,111
Bonus
$1,422
$9,955
$18,487
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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