Senior AI Automation Engineer

About the Role The Senior Specialist, Data Automation Engineering plays a key role in advancing automation and AI capabilities across the Data Hub. This position focuses on designing and implementing intelligent automation solutions, AI-powered workflows, and innovative AI technologies that improve efficiency, accelerate delivery, and enable scalable data operations. As a strategic enabler for Data Engineering, Data Management, Data Quality, and Data Products, you will identify automation opportunities, assess emerging AI technologies, and deliver solutions that generate measurable business value. Key Responsibilities Design and implement intelligent automation solutions and AI-driven workflows. Build and deploy AI agents, copilots, and Generative AI applications to streamline business processes and improve operational efficiency. Evaluate, prototype, and recommend AI platforms, frameworks, and services that support enterprise automation initiatives. Assess AI use cases and develop business cases, including cost-benefit analysis, ROI modeling, infrastructure and compute cost evaluation, and business value realization. Partner with technical and business stakeholders to identify automation opportunities and drive AI adoption. Integrate AI solutions with enterprise systems, APIs, cloud platforms, and data ecosystems. Establish best practices for scalable automation, governance, monitoring, and responsible AI usage. Stay current with emerging AI technologies and recommend innovative approaches to solve business challenges. Required Qualifications Strong expertise in automation, AI solutions, and intelligent workflow design. Hands-on experience building AI agents, copilots, workflow automation solutions, or Generative AI applications. Experience working with AI platforms, frameworks, or services such as Azure AI, Azure OpenAI, OpenAI, Azure AI Foundry, LangChain, LangGraph, or similar technologies. Strong proficiency in Python and experience developing integrations through APIs and enterprise platforms. Experience evaluating AI use cases, including: Cost-benefit analysis ROI modeling Infrastructure and compute cost assessment Business value realization Strong analytical and problem-solving skills. Ability to collaborate effectively with both technical and business stakeholders. Preferred Qualifications Experience with multi-agent systems, RAG solutions, and LLM-powered applications. Experience driving AI adoption and digital transformation initiatives. Knowledge of AI governance, responsible AI, and LLMOps practices. Experience working in Azure, AWS, or GCP cloud environments. Why Join Us? This is an opportunity to help shape the future of AI-powered automation within the enterprise, working on cutting-edge AI technologies and delivering solutions that create meaningful business impact at scale.

Design and implement intelligent automation solutions, AI-powered workflows, and Generative AI applications to improve operational efficiency. Partner with stakeholders to identify automation opportunities and establish best practices for scalable, responsible AI usage.

Requires strong expertise in Python and hands-on experience building AI agents and copilots using frameworks like LangChain or Azure AI. Candidates must be able to perform cost-benefit analysis and ROI modeling for AI use cases.

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• AI Automation
• Generative AI
• Python
• Azure AI
• LangChain
• LangGraph
• AI Agents
• Copilots
• API Integration
• ROI Modeling
• RAG Solutions
• LLMOps
• Cloud Platforms
• Workflow Design
• AI Governance
• Data Engineering

• Technology
• Data & Analytics
• Software
• Engineering
• Healthcare

Minimum experience

5+ years

Apply by

Sep 25, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available