Technical Architect

The Technical Architect plays a pivotal role in defining and governing the technical architecture, integration patterns, and digital blueprint across Intellectyx's platform ecosystem and client implementations. This role bridges business strategy and technology execution - ensuring solutions are scalable, secure, data-driven, and AI-ready across multi-cloud environments., 1. Architecture Strategy & Governance

• Define and maintain the enterprise architecture roadmap covering applications, data, AI, and cloud infrastructure.
• Establish architecture principles, design standards, and reference models aligned with Intellectyx's AI-native platform vision.
• Conduct architecture reviews and ensure alignment across solution, data, and infrastructure domains.
• Partner with leadership to translate business goals into scalable and modular technology blueprints.

2. Digital Architecture

• Architect and integrate large-scale digital applications built on Python (Django, FastAPI), React, Redux, and PostgreSQL.
• Define API and microservices strategies for reusability and interoperability.
• Ensure secure, observable, and high-performing architecture in AWS and Azure environments.

3. Agentic AI & Automation

• Design multi-agent architectures using AgnoAI, MCP, LangChain, LangGraph, and Langfuse frameworks.
• Define orchestration patterns for LLM-driven automation, reasoning, and workflow execution.
• Establish governance around prompt templates, vector stores, and context retrieval pipelines for intelligent decision systems.

4. Data & Analytics Architecture

• Architect data solutions using Snowflake, Azure Synapse, Azure Data Factory, and Databricks.
• Enable unified data observability, lineage tracking, and semantic modeling for AI-readiness.
• Oversee analytics architecture integrating Tableau and Power BI for business visualization and storytelling.
• Collaborate with Data Science teams to operationalize ML/AI models and ensure scalability, governance, and performance.

5. Cloud & Infrastructure

• Architect hybrid and multi-cloud solutions leveraging AWS and Azure for compute, storage, and orchestration.
• Champion Infrastructure-as-Code (Terraform) and DevOps best practices.
• Drive cost optimization, resilience, and high availability across distributed deployments.

• 10+ years of IT experience with 5+ years in architecture or technical leadership roles.
• Proven experience designing enterprise-scale systems, SaaS platforms, or AI/data architectures.
• Deep expertise in:
• Digital: Python, Django, FastAPI, React, Redux, PostgreSQL
• Agentic AI: AgnoAI, MCP, LangChain, LangGraph, Langfuse, LLM integration
• Data: Snowflake, Azure Synapse, Azure Data Factory, Databricks, Tableau, Power BI
• Cloud: AWS, Azure, Terraform, Kubernetes
• Strong knowledge of architecture frameworks (TOGAF, Zachman) and design principles (Domain-Driven Design, Event-Driven Architecture).
• Excellent communication and documentation skills for engaging both executive and technical stakeholders.

Preferred Experience

• Experience defining enterprise reference architectures for AI-native or multi-agent platforms.
• Strong understanding of data governance, security, and compliance frameworks.
• Experience working in multi-tenant SaaS or large-scale enterprise environments.
• Prior involvement in technology modernization, digital transformation, or AI strategy programs.

Pulled from the full job description

• Health insurance
• Paid time off
• Vision insurance
• Dental insurance
• Flexible schedule, * Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance