What you'll do
- Develop, test and deploy Generative and Agentic AI applications including agent-based workflows
- Implement Retrieval-Augmented Generation (RAG) pipelines and optimize prompts for various use cases
- Experiment with prompting strategies such as few-shot and chain-of-thought with open-source LLMs
- Collaborate with AI engineers and software developers to deploy AI models in cloud environments
Key requirements
- 0+ years' experience
- Programming skills in Python and/or Java
- Knowledge of Machine Learning, Transformers, Large Language Models, and Generative AI concepts
- Experience with Prompt Engineering and Agent-based workflows
- Familiarity with Retrieval-Augmented Generation (RAG)
- Ability to deploy AI models in Cloud Environments like AWS, GCP, or Azure
- Strong problem-solving skills and collaboration in global teams
- Computer Science / Engineering / Data Science / Mathematicspreferred
Benefits
- Competitive benefits including parental leave policy.
- Continuous learning and improvement opportunities.
- Career coaching and mentorship.
- Performance management focusing on strengths and career possibilities.
- Opportunities to develop career across various clients.
- Corporate citizenship initiatives including volunteering and charity work.
About the job
As part of Accenture Data & AI practice, specialized in AI (our general term for deep learning, NLP, computer vision, chatbots, VA and robotics), you will be responsible for building and deploying new AI solutions for Accenture’s clients to improve various business outcomes and drive innovation. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will also be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges.
As an AI Foundational Model Analyst, you will:
Develop, test and deploy Generative & Agentic AI applications, including agent-based workflows.
Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows and help optimize prompts for different use cases.
Experiment with prompting strategies (e.g., few-shot, chain-of-thought) and interact with open-source LLMs under the guidance of senior AI engineers.
Collaborate with AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).
Qualification
WHO WE´RE LOOKING FOR?
Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
0–2 years of experience in programming or working with Data & AI projects (internships, university projects, or self-driven learning).
Demonstrated knowledge of programming in Python and/or other programming languages like Java.
Familiarity with Machine Learning, Transformers, Large Language Models (LLMs) and Generative AI concepts (e.g., fine-tuning, prompt-engineering, interacting with both open-source & general-purpose AI systems) and a strong curiosity to learn more – hands-on experience will be considered a plus but not required.
Strong problem-solving skills, eagerness to learn, and the ability to work in a collaborative, global team.
PREFERRED QUALIFICATIONS
Ability to think creatively to solve real world business problems
Ability to work in a global collaborative team environment
Familiarity with relational and NoSQL databases
WHAT'S IN IT FOR YOU?
Competitive benefits, including a fair and balanced parental leave policy.
At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people.
Career coaching and mentorship to help you manage your career and develop professionally.
Performance Achievement – our performance management process that focuses on your strengths, progress and career possibilities.
Fantastic opportunities to develop your career across a variety of clients.
Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.

