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Senior GenAI Engineer – LLMs & RAG

Accenture

Senior GenAI Engineer – LLMs & RAG

Accenture

·

On-site

·

Full-time

·

4d ago

At Accenture, we believe in technology as the engine for the total reinvention of the company. We work with the leading platforms and partners in the market to drive our clients' businesses through digitalization, AI, and data. If you want to be part of a Great Place To Work® and join a team of over 801,000 professionals worldwide, keep reading: What You’ll Be Doing As a Senior AI Engineer in our Data & AI team, you will:

  • Design and build scalable GenAI pipelines using modern orchestration frameworks and cloud services.
  • Manage full RAG (Retrieval-Augmented Generation) pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation.
  • Integrate and manage foundational models (FMs) from platforms like Amazon Bedrock and OpenAI.
  • Collaborate with cross-functional teams to define architecture and operationalize AI models in production environments.

The position is based in Madrid, Barcelona, Coruña, Málaga, Sevilla **in a hybrid work model, combining remote work with in-office collaboration to foster team synergy.**You must reside in Spain and have a valid work permit.

Responsibilities

  • Develop and deploy end-to-end AI solutions using LLMs, Lang Chain/Lang Graph, and cloud-native tools.
  • Apply ML/DL frameworks (Tensor Flow, Py Torch, Hugging Face) to solve real-world problems.
  • Ensure code quality, scalability, and maintainability following software engineering best practices.
  • Monitor and optimize performance of deployed models and pipelines.

Must-Have Skills

  • 3+ years of hands-on experience in Artificial Intelligence.
  • Strong Python development skills.
  • Experience with Lang Chain or Lang Graph for GenAI orchestration.
  • Deep understanding of LLM fundamentals: Transformers, attention mechanisms, embeddings, tokenization.
  • Proficiency in at least one cloud platform (AWS, Azure, or GCP).
  • Experience with Azure AI Studio or Amazon Bedrock.
  • Strong experience with RAG pipelines and OpenAI APIs.
  • Familiarity with ML libraries: scikit-learn, Pandas, Numpy.
  • Excellent communication skills in English (B2/C1 level).

Nice-to-Have Skills

  • Knowledge of Responsible AI and Guardrails.
  • Experience with Amazon Sage Maker, semantic search tools (Kendra, Open Search).
  • Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
  • Exposure to CI/CD and MLOps practices.
  • Understanding of Infrastructure as Code (Terraform, CloudFormation).
  • Experience in financial services or regulated environments.
  • Contributions to the open-source AI community.

What We Offer

At Accenture, recognized as a Great Place To Work®, we embrace a hybrid work model that fosters human connection through technology and collaboration. We are proud to be named the most diverse company in the world by Refinitiv.

You’ll also enjoy:

  • Health, life, and accident insurance
  • Medical services and wellness programs
  • Flexible compensation and stock purchase plans
  • Flexible schedules and vacation policies
  • Personalized training paths
  • Sustainability programs and Accenture Foundation initiatives
  • Employee diversity networks
  • Additional perks: Bankinter office benefits and profit sharing

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com

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About Accenture

Accenture

Accenture

Public

Let 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%

Recommend to a Friend

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