What you'll do
- Develop, test and deploy Generative and Agentic AI applications including agent-based workflows
- Implement Retrieval-Augmented Generation pipelines and drive prompting strategies such as few-shot and chain-of-thought
- Collaborate with AI engineers and software developers to deploy AI models into cloud environments like AWS, GCP, and Azure
- Work with Data and AI Architects to design robust AI product architectures
- Optimize AI applications for performance and accuracy
- Coach and mentor junior AI engineers in developing AI application components
Key requirements
- 2+ years' experience
- Experience with Generative AI, Agentic AI applications, and Retrieval-Augmented Generation pipelines
- Skills in Prompt-engineering including few-shot and chain-of-thought prompting
- Knowledge of Deep Learning and Large Language Models such as GPT, Bard, or LLaMA
- Proficiency in programming languages Python, Java, and C++
- Experience deploying AI models in Cloud environments including AWS, GCP, and Azure
- Familiarity with Fine-tuning AI models, Open-source and General-purpose AI systems, and RESTful API
- Computer Science / Engineering / related fieldspreferred
Benefits
- Competitive benefits, including a fair and balanced parental leave policy.
- Career coaching and mentorship to help you manage your career and develop professionally.
- Fantastic opportunities to develop your career across a variety of clients.
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.

