Technical Architect (Agentic AI)
Core
Designing, developing, and implementing advanced AI solutions and scalable AI systems to address critical business challenges.
Role type
Senior IC Technical Architect (Agentic AI)
Builds
AI-driven platforms, machine learning models, and AI services
Domain
Artificial Intelligence / Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
Software architecture, AI/ML solution design, Python, Java, R, TensorFlow, PyTorch, Keras, Scikit-learn, Cloud platforms (Azure, AWS, GCP), Containerization (Docker, Kubernetes), Data engineering, MLOps pipelines
Preferred skills
Deep learning architectures (CNNs, RNNs, LSTMs, Transformers), MLOps and CI/CD pipelines, Ethical AI practices, Published research papers, LLMs (Hugging Face, GPT, Gemini, Claude, Mixtral, Llama), LLM Ops (ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI), Databases (DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery), DevOps tools (Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus), Cloud certifications, SQL, Javascript
Responsibilities
Lead design and architecture of AI-driven platforms, Evaluate and select AI frameworks and tools, Oversee development and deployment of ML models, Establish best practices for AI development and MLOps, Mentor technical teams, Ensure compliance with regulatory and ethical AI standards, Prepare technical documentation
Seniority
Senior, hands-on IC