Artificial Intelligence Architect

Job Title

Location

Experience

Employment Type: Full-time

For more Details

About the Role

AI Architect

Key Responsibilities

• Define the

  AI/ML architecture

  strategy aligned with business goals.
• Lead the

  design, development, and deployment

  of AI-driven applications and platforms.
• Evaluate and select appropriate

  AI frameworks, tools, and technologies

  (e.g., TensorFlow, PyTorch, LangChain, Hugging Face, Azure OpenAI, AWS Sagemaker).
• Architect

  LLM-based solutions, generative AI, predictive analytics, NLP, and computer vision

  systems.
• Collaborate with data engineers, data scientists, and product teams to ensure seamless integration with enterprise systems.
• Establish

  AI governance, security, and compliance frameworks

  (bias detection, data privacy, explainability).
• Build and maintain

  MLOps pipelines

  for scalable AI model training, deployment, and monitoring.
• Stay updated with

  emerging AI/ML trends and research

  and recommend adoption.
• Mentor teams on

  AI solution design, best practices, and performance optimization

  .

Required Skills & Qualifications

• Bachelors/Master’s in Computer Science, AI/ML, Data Science, or related field.
• Proven experience as an

  AI Architect / AI Solution Lead

  in large-scale enterprise environments.
• Strong expertise in

  machine learning, deep learning, natural language processing, and generative AI

  .
• Hands-on experience with

  cloud AI services

  (AWS, Azure, GCP).
• Strong understanding of

  data engineering, big data platforms, APIs, and microservices

  .
• Knowledge of

  AI ethics, model explainability, and regulatory compliance

  .
• Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications

• Should be from a Product based company
• Certifications in

  AI/ML or Cloud Architectures

  (AWS, Azure, GCP).
• Experience with

  vector databases, knowledge graphs, and RAG (Retrieval-Augmented Generation)

  .
• Exposure to

  multi-agent AI systems, reinforcement learning, and edge AI

  .
• Contributions to AI research, publications, or open-source projects.