Generative AI Engineer

3 weeks ago

Bengaluru, Karnataka, India Capgemini Invent Full time

GenAI & Agentic AI Consultant

Role Overview:

We are looking for a dynamic and skilled GenAI & Agentic AI Consultant who can lead the development of intelligent, autonomous solutions using generative and agentic AI technologies. The ideal candidate will bring a strong foundation in applied statistics, machine learning, and data engineering, along with excellent communication and storytelling abilities to contribute to strategic initiatives, including RFPs and stakeholder engagements.

Key Responsibilities:

  • Design and implement GenAI and Agentic AI solutions tailored to business needs.
  • Apply statistical techniques including distributions, hypothesis testing, and regression analysis.
  • Build and optimize machine learning models using algorithms such as Neural Networks, Naive Bayes, SVM, Decision Forests, etc.
  • Collaborate with cross-functional teams to define and deliver impactful AI use cases.
  • Contribute to RFPs, solution proposals, and client presentations with clear, compelling narratives.
  • Perform advanced data manipulation, transformation, and integration across varied data sources.
  • Utilize tools and frameworks such as Python, PySpark, R, SQL, Pandas, NumPy, Scikit-learn, Keras, and TensorFlow, Streamlit
  • Work with Big Data platforms and adopt new technologies and languages as needed.
  • Incorporate NLP and text analytics into GenAI solutions where applicable.
  • Ensure alignment with data governance, privacy, and ethical AI standards.

Preferred Skills & Experience:

  • Hands-on experience with GenAI technologies and frameworks.
  • Exposure to Agentic AI concepts and autonomous system design.
  • Strong communication and storytelling skills; able to simplify complex ideas for diverse audiences.
  • Experience contributing to RFPs, solutioning, and client-facing engagements.
  • Proficiency in Python, PySpark, R, SQL, and Big Data tools.
  • Familiarity with cloud platforms (Azure, AWS, GCP); cloud certification is a plus.
  • Understanding of MDM (Master Data Management) and Data Quality practices.
  • Experience in building scalable data engineering pipelines and architectures.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
  • 4+ (for consultant) and 6+ years (for Sr Consultant) of experience in AI/ML, data analytics, or related domains.
  • Cloud certification (Azure, AWS, or GCP) is preferred.

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