Data Architect- Generative AI

4 days ago

Delhi, 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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