Data Architect- Generative AI

2 weeks ago

Chennai, India Agilisium Consulting Full time

As a Data Architect with Generative AI expertise, you will:


  • Design and implement robust data architectures that support AI and machine learning (ML) workloads, including Generative AI applications.
  • Develop and optimize data pipelines for training, validating, and deploying AI models efficiently and securely.
  • Integrate AI frameworks into data platforms, ensuring scalability, low latency, and high throughput.
  • Collaborate with data scientists, AI engineers, and stakeholders to align data strategies with business goals.
  • Lead initiatives to ensure data governance, security, and compliance standards (e.g., GDPR, CCPA) are met in AI-driven environments.
  • Prototype and implement architectures that utilize generative models (e.g., GPT, Stable Diffusion) to enhance business processes.
  • Stay up to date with the latest trends in Generative AI, data engineering, and cloud technologies to recommend and integrate innovations.

Required Qualifications

We’re looking for someone with:

  • A bachelor’s degree in Computer Science, Data Engineering, or a related field (master’s preferred).
  • 5+ years of experience in data architecture, with a focus on AI/ML-enabled systems.
  • Hands-on experience with Generative AI models (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
  • Proficiency in data engineering tools and frameworks, such as Apache Spark, Hadoop, and Kafka.
  • Deep knowledge of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Strong understanding of data governance, MLOps, and AI model lifecycle management.
  • Experience with programming languages such as Python or R and frameworks like TensorFlow or PyTorch.
  • Excellent problem-solving and communication skills, with a demonstrated ability to lead cross-functional teams.


Preferred Skills

  • Familiarity with LLM fine-tuning, prompt engineering, and embedding models.
  • Strong domain expertise in Life Science Industry
  • Experience integrating generative AI solutions into production-level applications.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
  • Expertise in APIs for AI models, such as OpenAI API or Hugging Face Transformers.

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