Technical Architect (Agentic AI)

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.

• 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.

• Bachelors or Masters 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.

• 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.

• 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. Adobes 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.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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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 its restricted during live interviews. See how we think about AI in the hiring experience.