Technical Architect (Agentic AI)

Adobe; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Adobe Bengaluru seeks an AI Technical Architect to design and implement scalable AI platforms, leading architecture and ML deployment across teams.

You will collaborate with product and engineering groups, ensure governance and security, and mentor engineers in AI adoption. A strong background in AI/ML, cloud, and containerization is required.

Qualifications

• 10+ years in software architecture with AI/ML design experience.
• Hands-on experience with ML frameworks and cloud platforms.
• Strong collaboration across cross-functional teams.

Responsibilities

• Lead design and architecture of AI platforms, ensuring scalability, security, and performance.
• Collaborate with stakeholders to translate business requirements into AI solutions.
• 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 AI technologies.
• Stay updated with the latest advancements in AI, machine learning, and data science, and recommend relevant innovations.
• Ensure compliance with regulatory requirements, data privacy, and ethical AI standards.
• Prepare technical documentation, architectural diagrams, and reports as required.

Skills

Python

ML Frameworks

TensorFlow

PyTorch

Kubernetes

Docker

Cloud Platforms

MLOps

Big Data

Communication

Education

Bachelor's or Master's in CS/Engineering

PhD (advantage)

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

Docker

Kubernetes

Git

CI/CD

Job description

Position Overview

The AI Technical Architect is responsible for designing, developing, and implementing advanced artificial intelligence solutions that address critical business challenges. The role demands a deep understanding of AI technologies, architecture principles, and hands‑on experience in building scalable AI systems. The ideal candidate will collaborate with cross‑functional teams to deliver innovative solutions, ensuring alignment with organisational goals and industry best practices.

Key Responsibilities

• Lead the design and architecture of AI-driven platforms, ensuring scalability, security, and performance.
• Collaborate with stakeholders to understand business requirements and translate them into AI solutions.
• 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 AI technologies.
• Stay updated with the latest advancements in AI, machine learning, and data science, and recommend relevant innovations.
• Ensure compliance with regulatory requirements, data privacy, and ethical AI standards.
• Prepare technical documentation, architectural diagrams, and reports as required.

Qualifications And Skills

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. A PhD is an added advantage.
• 10+ years of experience in software architecture, with at least 3 years in AI/ML solution design and implementation.
• Strong proficiency in one or more programming languages (Python, Java, R, etc.) relevant to AI development.
• Hands‑on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Expertise in cloud platforms (Azure, AWS, GCP) and containerisation (Docker, Kubernetes) is highly desirable.
• Excellent understanding of data engineering, model deployment, and MLOps pipelines.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work collaboratively in a multicultural and distributed team environment.

Preferred Attributes

• Relevant AI certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer).
• Experience in developing AI solutions for Indian or international markets.
• Demonstrated ability to manage multiple projects and priorities effectively.

Preferred Skills

• Experience with deep learning architectures (CNNs, RNNs, LSTMs, Transformers).
• Familiarity with MLOps and CI/CD pipelines for model deployment and monitoring.
• Understanding of ethical AI practices and data privacy regulations.
• Published research papers or contributions to open-source AI projects.
• LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
• LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.
• Cloud Knowledge: AWS/Azure/GCP
• Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
• Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert
• Proficient in Python, SQL, Javascript

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.