Technical Architect at Adobe - ScoutJobs - The AI-curated global job board
Skip to content
Adobe
Posted a day ago

Technical Architect

AdobeTechnical Architect (Python + AI)

Requirements

Bachelor's or Master's degree in Computer Science or related field, 10+ years in software architecture, 3+ years in AI/ML solution design, Proficiency in Python, SQL, and Javascript, Experience with TensorFlow, PyTorch, Keras, or Scikit-learn, Expertise in cloud platforms (Azure, AWS, GCP), Experience with containerisation (Docker, Kubernetes), Understanding of Agentic AI application architecture

Skills

PythonAILLMMLOpsAWSAzureGCPDockerKubernetes

About the role

Responsibilities

  • Lead the design and architecture of AI-driven platforms, ensuring scalability, security, and performance for the Brand Concierge Solution.
  • Design and implement LLM-based and Agentic AI applications using modern orchestration frameworks.
  • Take full ownership of technical delivery, from business problem framing through reference implementation and deployment.
  • Evaluate and select appropriate AI frameworks, tools, and technologies for various use cases.
  • Oversee the development, deployment, and integration of machine learning models and AI services.
  • Establish best practices for AI development, including data governance, model management, and MLOps processes.
  • Mentor and guide technical teams in the adoption and implementation of cutting-edge AI technologies.
  • Own non-functional requirements including latency, cost optimization, observability, and failure handling.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 10+ years of experience in software architecture.
  • 3+ years of experience in AI/ML solution design and implementation.
  • Strong proficiency in Python, SQL, and Javascript.
  • Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
  • Expertise in cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
  • Deep understanding of Agentic AI application architecture and implementation.
  • Strong understanding of data engineering, model deployment, and MLOps pipelines.

Preferred Qualifications

  • Experience with deep learning architectures (CNNs, RNNs, LSTMs, Transformers).
  • Familiarity with LLM orchestration tools like LangChain, LangGraph, or LlamaIndex.
  • Experience with LLM providers and frameworks such as Hugging Face, OpenAI, or AWS Bedrock.
  • Knowledge of MLOps and CI/CD pipelines for model deployment and monitoring.
  • Relevant AI certifications (e.g., Azure AI Engineer Associate or Google Professional Machine Learning Engineer).

About the Company

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity, and personalized customer experiences. Adobe's industry-leading offerings enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

ScoutJobs Agent

Get matches like this delivered daily

Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.

Get started — it's free

Technical Architect

Adobe · Bangalore

Sign up to apply