Technical Architect with Data Science & GEN AI

• Were seeking a visionary

  Technical

  Architect

  with deep expertise in

  Data

  Science

   and

  Generative AI

   to lead the design and implementation of cutting-edge AI solutions. This role blends strategic thinking with hands-on technical leadership, enabling transformative innovation across industries.
• You’ll architect scalable systems, guide cross-functional teams, and shape the future of AI-powered products—from intelligent automation to synthetic data generation and beyond.

Key Responsibilities

• Architect AI Solutions:

   Design end-to-end architectures for GenAI and data science platforms, including model pipelines, data lakes, and deployment strategies

• Lead Technical Strategy:

   Define technical roadmaps for AI/ML initiatives aligned with business goals

• Model Development Oversight:

   Guide development of LLMs, transformers, and other generative models using frameworks like PyTorch, TensorFlow, and Hugging Face

• Data Engineering Collaboration:

   Partner with data engineers to ensure robust data pipelines, feature stores, and real-time data ingestion

• MLOps & Deployment:

   Implement CI/CD pipelines for ML models, containerization (Docker/Kubernetes), and cloud-native deployments (Azure, AWS, GCP)

• Security & Ethics:

   Ensure responsible AI practices, model interpretability, and compliance with data privacy regulations

• Mentorship & Leadership:

   Coach data scientists, ML engineers, and developers on best practices and emerging technologies

• Stakeholder Engagement:

   Translate complex technical concepts into business value for executives and clients 

Required Skills & Qualifications

• Proven experience as a Technical Architect or Principal Engineer in AI/ML domains
• Strong proficiency in Python, SQL, and cloud platforms (Azure preferred)
• Expertise in GenAI frameworks (e.g., Lang Chain, OpenAI APIs, Retrieval-Augmented Generation)
• Solid understanding of data science workflows, statistical modeling, and feature engineering
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding techniques
• Familiarity with prompt engineering, fine-tuning LLMs, and RLHF
• Excellent communication and leadership skills
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field (PhD preferred) 

Preferred Qualifications

• Experience with multimodal AI (text, image, audio)
• Contributions to open-source AI projects or publications
• Certifications in cloud architecture or AI/ML (e.g., Azure AI Engineer, AWS Machine Learning Specialty)