Description

Key Responsibilities 

Design, develop, and deploy custom AI agents and intelligent automation solutions using modern generative AI platforms such as Google Gemini Enterprise. 

Build and implement AI/ML models and generative AI workflows to support enterprise data analytics, automation, and decision-making systems. 

Develop scalable data pipelines and AI workflows that integrate structured and unstructured data from enterprise systems. 

Implement AI model orchestration, prompt engineering, and agent-based architectures for real-world business use cases. 

Work with cloud-based AI services such as Google Cloud Vertex AI, BigQuery, and AI/ML APIs to build production-ready AI applications. 

Collaborate with data engineers, architects, and business stakeholders to translate business requirements into AI-enabled technical solutions. 

Integrate AI capabilities into enterprise applications using APIs, microservices, and cloud-native architectures. 

Optimize AI models and pipelines for performance, scalability, security, and responsible AI governance. 

Conduct testing, debugging, and performance tuning of AI systems deployed in cloud environments. 

Document system architecture, AI model design, and deployment processes in accordance with enterprise and regulatory standards. 

Required Qualifications 

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a closely related technical field. 

Strong programming experience in Python, Java, or similar programming languages used for AI and data engineering. 

Experience developing machine learning models, generative AI solutions, or AI-driven applications. 

Experience working with cloud platforms such as Google Cloud, Microsoft Azure, or Amazon Web Services (AWS). 

Knowledge of AI frameworks and tools such as TensorFlow, PyTorch, LangChain, or similar AI/ML frameworks. 

Experience building data processing pipelines, analytics workflows, and distributed data systems. 

Strong understanding of API development, microservices architecture, and cloud-native application design. 

Preferred Qualifications 

Experience implementing Generative AI solutions using Google Gemini Enterprise or similar large language model platforms. 

Experience with data analytics platforms such as BigQuery, Looker, or other modern data warehouses. 

Familiarity with agent-based AI architectures, prompt engineering, and retrieval-augmented generation (RAG). 

Experience working with enterprise AI governance, security, and responsible AI practices. 

Experience supporting public sector or enterprise digital transformation initiatives

Key Skills

Education

Bachelor's degree