🤖 Senior Intelligent Automation & GenAI Solutions Engineer

Full-time / Hybrid | Enterprise AI & Process Automation | Multi-Cloud Environment

Our client is a global enterprise solutions provider building next-generation intelligent automation frameworks for corporate business processes. We are seeking a high-caliber Senior Intelligent Automation & GenAI Solutions Engineer to design and deliver end-to-end production solutions connecting business applications, enterprise APIs, workflow steps, and Generative AI agents.

In this strategic, high-impact role, you will bridge software engineering, business process orchestration, cloud deployment, and AI integration. Solutions will be delivered through the Dataiku platform.

❗️ Certification Requirement: The selected candidate must be willing to obtain the Dataiku Developer or Advanced Developer certification prior to the mission start date (previous hands-on experience with Dataiku is welcome, but not strictly mandatory if you hold a strong automation/data pipeline background).

🎯 Key Responsibilities & Deliverables:

• Process Architecture & Workflow Design: Translate complex business processes into technical automation blueprints—designing workflows that connect enterprise applications, databases, business rules, approvals, and exception handling.
• Backend Development & API Integration: Build robust backend services, REST APIs, microservices, and event-driven integrations using Python or Java.
• AI Agent & LLM Orchestration: Integrate LLMs, Retrieval-Augmented Generation (RAG) pipelines, and autonomous AI agents into operational processes (incorporating tool calling, task planning, context management, and human-in-the-loop approvals).
• Dataiku Automation Delivery: Build, orchestrate, and maintain enterprise automation pipelines using Dataiku (or comparable platforms like KNIME, n8n, Power Automate) alongside internal tools and dashboards.
• Cloud & DevOps Deployment: Deploy solutions in cloud environments (AWS preferred), establishing GitOps, CI/CD pipelines, Docker containerization, logging, security controls, and production monitoring.
• Documentation & Stakeholder Collaboration: Partner directly with business leaders and IT teams to refine requirements, document technical integration patterns, and deliver production-grade systems.

👤 Profile & Technical Requirements:

• Seniority Target: Senior-level software engineering or AI automation track (10+ years of professional experience preferred; candidates with fewer years will be evaluated based on exceptional, direct production automation delivery).
• Core Software Engineering: Strong, hands-on backend development in Python or Java, with deep experience in APIs, databases, microservices, and messaging architectures.
• Generative AI & Agentic Workflows: Proven track record integrating LLMs, RAG frameworks, and AI agents into production applications or business workflows.
• Orchestration Tooling: Demonstrated experience with enterprise workflow orchestration platforms (Dataiku, KNIME, n8n, Power Automate, or enterprise RPA).
• Cloud & DevOps Stack: Hands-on experience with AWS (or Azure/GCP), Docker, Git, CI/CD pipelines, and production deployment lifecycle.
• Mandatory Commitment: Willingness to pass the Dataiku Developer or Advanced Developer certification before the project start date.
• Languages: Fluent English (written and spoken) is mandatory.