AI Automation Architect

Role Overview

We are seeking a hands-on AI Architect to design, govern, and scale enterprise-grade Agentic AI, Copilot, and Intelligent Automation solutions. The role combines AI architecture, enterprise data strategy, evaluation engineering, governance, and intelligent process automation to deliver secure, scalable, and business-driven AI solutions.

What You Will Do

Design and deliver enterprise-grade Agentic AI, Copilot, RAG, and Intelligent Automation solutions. Architect multi-agent systems, define enterprise AI strategy, and lead AI platform decisions.

Why It Might Be a Fit

Collaborate with product, engineering, security, data, and business stakeholders to identify high-value AI opportunities and deliver measurable business impact.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related discipline.
• 8+ years of software engineering experience, including a minimum of 3 years focused on AI/ML, Generative AI, Agentic AI, Copilot, or Intelligent Automation solutions.
• Strong expertise in Python, including development of AI agents, APIs, automation services, data processing pipelines, orchestration frameworks, and evaluation platforms.
• Hands-on experience building enterprise AI applications using technologies such as FastAPI, LangChain, LangGraph, , Pandas, or similar frameworks.
• Hands-on experience with AI development tools such as Cursor AI, GitHub Copilot, and Microsoft 365 Copilot.
• Extensive experience with LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, and similar technologies.
• Deep understanding of RAG, vector databases, embedding models, enterprise search, knowledge management architectures, and AI evaluation frameworks.
• Strong knowledge of Graph APIs, OAuth2, SSO, enterprise integration patterns, API design, microservices, Docker, Kubernetes, event-driven architecture, and CI/CD pipelines.
• Experience designing AI evaluation datasets, benchmark frameworks, quality gates, model performance metrics, and validation methodologies.
• Experience building AI business cases, value realization frameworks, ROI assessments, and executive-level presentations.

Tagged as: Python