Technical Architect (Python + AI), Adobe

Noida, India, Bangalore
June 22, 2026
Full Time

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Job Description

Adobe is looking for an expert Technical Architect who specializes in Python and AI to create and implement sophisticated conversational systems and agent-based systems. The position requires the development of scalable GenAI solutions which need to achieve performance targets while maintaining security and business objectives through innovative leadership across all enterprise systems.

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Main Duties:

  • Design and deliver scalable AI-driven conversational platforms which will achieve three core performance goals of security and reliability. 
  • Analysis the architectural process to identify problems and ends with system deployment and operational readiness.
  • Develop and implement GenAI solutions using LLMs, agentic frameworks, and orchestration tools.
  • Collaborate with stakeholders to translate business needs into innovative AI-based technical solutions.
  • Mentor teams, establish AI best practices, and ensure compliance with ethical and regulatory standards.

Essential Qualifications:

  • Possesses over ten years of experience in software architecture including AI solution design expertise.
  • Exceptional programming abilities through their proficiency in Python SQL JavaScript and various AI programming languages. 
  • Practical knowledge of machine learning frameworks through their work with TensorFlow and PyTorch and Scikit-learn. 
  • Expertise in AWS Azure and GCP cloud platforms which use containerization technologies. 
  • Advanced expertise in MLOps pipelines and data engineering and model deployment techniques.

Preferred Skills:

  • Experience with deep learning models including CNNs, RNNs, LSTMs, and transformer architectures.
  • Knowledge about using LLM tools which include Hugging Face and GPT and Gemini and Claude and Llama models. 
  • Possesses strong knowledge about MLOps tools which include MLflow and LangChain and LlamaIndex frameworks. 
  • Knowledge about DevOps tools which include Docker and Kubernetes and Prometheus and monitoring systems. 
  • Worked with multiple databases which include MongoDB and MySQL and PostgreSQL and cloud data warehouses.

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