Senior Architect- Gen AI

Key Responsibilities

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 :

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

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.