What you'll do
- Develop, test and deploy Generative & Agentic AI applications and agent-based workflows
- Implement Retrieval-Augmented Generation pipelines and drive prompting strategies
- Fine-tune AI models and interact with open-source and general-purpose AI systems
- Collaborate with AI engineers and software developers to deploy AI models in cloud environments
- Work with Data & AI Architects to design architecture of AI products
- Optimize AI applications for performance and accuracy
- Coach and mentor Junior AI engineers on AI application components
Key requirements
- 2+ years' experience
- Experience with Generative AI, Transformer models, and Large Language Models
- Proficiency in Python, Java, or C++ programming languages
- Knowledge of Deep Learning, NLP, Machine Learning, and prompt engineering
- Experience with fine-tuning AI models and Retrieval-Augmented Generation
- Familiarity with cloud environments such as AWS, GCP, Azure
- Experience with RESTful API and Microservice architecture
- Computer Science / Engineering / Related Fields
Benefits
- Competitive benefits including balanced parental leave;
- continuous learning and improvement opportunities;
- career coaching and mentorship;
- performance management focusing on strengths and career possibilities;
- opportunities for career development across clients;
- and involvement in corporate citizenship initiatives.
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 Specialist, you will:
Develop, test and deploy Generative & Agentic AI applications, including agent-based workflows.
Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, drive prompting strategies (e.g., few-shot, chain-of-thought), fine-tuning and interact with both open-source & general-purpose AI systems.
Collaborate with other AI engineers and software developers to deploy AI models into cloud environments (AWS, GCP, Azure).
Work with Data & AI Architects to create solid architecture of AI products.
Optimize AI application for performance and accuracy.
Coach and mentor Junior AI engineers to develop multiple components of the AI applications.
Qualification
WHO WE´RE LOOKING FOR?
B. Sc. and MSc. or PhD in Computer Science, Engineering, or related fields
Minimum 2 years of hands-on programming experience in the field of AI, NLP, Machine Learning, Deep Learning, and related disciplines
Demonstrated proficiency in multiple programming languages such as Python, Java, or C++
Experience working with Generative AI, Transformers, Deep Learning, Large Language Models (LLMs) as GPT, Bard or LLaMA, Image generative AI systems as DALL-E, Stable Diffusion or MidJourney
Experience with core Deep Learning & Generative AI principles, including fine-tuning, prompt-engineering, interacting with both open-source & general-purpose AI systems. Familiarization with computing infrastructure (i.e. GPU systems for training optimization) will be considered a plus
Knowledge of architecting/operating solutions built on the core technologies underlying LLMs and Generative AI applications (open-source, Azure Open AI, Amazon BedRock…)
Experience working with RESTful API and general microservice-oriented architectures.
Demonstrated commitment to learn about AI and continuously stay up-to-date on technology trends, through your own initiatives, online courses, competitions, or side projects
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
Familiarity with cloud services related to AI/ML
Experience leading a team of Data/AI engineers in real-world environments and integrating AI/ML and other services into large-scale production applications
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.

