AI Architect

We are seeking an experienced AI Architect to design and build next-generation agentic AI solutions for CRM and BPM platforms. The ideal candidate will have strong expertise in autonomous AI systems, Google Cloud AI services, software development lifecycle automation, and enterprise application integration.

This role will work closely with QA, DevOps, Product Engineering, and Business Teams to deliver scalable AI-driven solutions that enhance software development, testing, deployment, and operational efficiency.

Key Responsibilities: 

• Architect and design agentic AI systems tailored for CRM and BPM solutions across the Software Development Life Cycle, including requirements management, backlog creation, development, testing, and deployment.

• Lead the development of autonomous AI agents capable of reasoning, learning, decision-making, and collaboration throughout the testing and software delivery lifecycle.

• Build, deploy, and optimize AI and machine learning pipelines using Google Cloud Platform services such as Vertex AI, BigQuery, and Cloud Functions.

• Integrate AI agents with CI/CD pipelines, test management platforms, and developer environments.

• Deploy, orchestrate, and manage AI agents using AgentSpace or similar agent management platforms.

• Leverage agent lifecycle management, communication frameworks, and scalability capabilities to ensure reliable AI operations.

• Collaborate with QA, DevOps, Product Engineering, and Business Teams to align AI capabilities with organizational objectives.

• Define and implement best practices for agentic AI development, including governance, security, safety, interpretability, and performance monitoring.

• Research and evaluate emerging technologies in Large Language Models (LLMs), Multi-Agent Systems, Autonomous Software Engineering, and Generative AI.

Required Skills and Experience:

• Relevant Experience: 15+ Years

• Proven experience as an AI Architect, Machine Learning Engineer, or similar role focused on Agentic AI or Autonomous Systems.

• Vertex AI.

• BigQuery.

• Cloud Functions.

• Google Cloud Platform (Google Cloud Platform).

• Agentic AI.

• Generative AI.

• Large Language Models (LLMs).

• Multi-Agent Systems.

• CI/CD Pipelines.

• AgentSpace.

• Machine Learning.

• Software Testing Automation.