AI & Automation Engineer

• Design, develop, industrialize, deploy, and maintain generative AI, AI agent, and agentic system solutions
• Translate business needs into robust, secure, and maintainable technical architectures and solutions
• Design agents capable of using tools, executing actions, and integrating with business processes
• Define orchestration between AI agents, APIs, business applications, data sources, workflows, and human interventions
• Ensure quality, performance, traceability, and risk control
• Estimate workloads, plan activities, and monitor project commitments
• Support junior team members and promote development and architecture standards
• Collaborate with business, data, IT, security, architecture, and governance teams, both internally and at client sites
• Lead client discussions, scope requirements, formalize recommendations, and contribute to decision-making
• Develop solutions based on LLMs, AI agents, business assistants, and multi-agent orchestrators
• Implement agents that query data sources, use tools, call APIs, and execute actions
• Design architectures incorporating RAG, document retrieval, context management, and memory
• Develop orchestration for agents, workflows, and human-in-the-loop validation
• Define system prompts, behavioral rules, and control mechanisms
• Evaluate the quality, relevance, robustness, and stability of responses
• Integrate security, confidentiality, access control, and data protection
• Prevent and address hallucinations, prompt injection, data leaks, and unauthorized actions
• Optimize model performance, response times, and costs
• Design automated workflows connecting AI models, APIs, databases, files, applications, messaging systems, and collaboration platforms
• Implement exception handling, monitoring, logging, and error recovery
• Integrate AI solutions into existing processes
• Use Microsoft Power Platform, n8n, or cloud orchestration tools
• Understand business challenges, identify AI opportunities, and develop use cases
• Lead client workshops, present results, and define roadmaps from proof of concept to production
• Support clients in adopting solutions and increasing their data and AI maturity
• Contribute to technology watch, training, coaching, and support for junior team members

Requirements

• Higher education degree in computer science, engineering, data, artificial intelligence, or a related field
• Significant experience designing, industrializing, and deploying generative or agentic AI solutions
• Experience taking AI solutions into production is a plus
• Ability to scope requirements, engage with clients, and turn a business opportunity into an operational, reliable, and secure solution
• Expertise in designing, industrializing, securing, deploying, and monitoring AI solutions in real-world environments
• Understanding of agentic systems: agents, orchestration, RAG, tool calling, memory, evaluation, and guardrails
• Ability to lead workshops, scope requirements, formalize recommendations, and manage client discussions
• Consulting, client relationship, teaching, and ability to explain complex topics clearly
• Experience with automation or RPA tools is a plus
• Fluent in English
• Proficiency in LLMs, RAG, agents, orchestration, tool calling, memory, evaluation, and guardrails
• Proficiency in Python and API integration
• Knowledge of Amazon Bedrock AgentCore, agent frameworks, or equivalent solutions
• Experience with a cloud environment: GCP, AWS, or Azure
• Proficiency in Microsoft Power Platform, UiPath, or equivalent tools
• Cloud certification is a plus
• Previous experience deploying AI agents or AI solutions into production is highly desirable

Core Competencies

Demonstrates expertise in designing, developing, and deploying generative AI and agentic systems, with a strong focus on security, orchestration, and integration within business processes. Proficient in leading client engagements, scoping requirements, and ensuring the quality and performance of AI solutions.

Highest-signal resume keywords

• Generative AI Solution Design
• AI Agent Development
• Python Programming
• API Integration
• Microsoft Power Platform

Hard Skills

• Generative AI
• Agentic Systems
• Orchestration
• RAG
• Tool Calling
• Memory Management
• Evaluation
• Guardrails
• Automation
• Cloud Environments

Soft Skills

• Client Relationship Management
• Teaching
• Clear Communication
• Workshop Facilitation
• Team Support

Certifications & Qualifications

• Cloud Certification

Industry Keywords

• AI Solutions
• Data Protection
• Risk Control
• Business Process Integration
• Operational Reliability

Tools & Technologies

• Amazon Bedrock
• UiPath
• GCP
• AWS
• Azure
• N8n
• Cloud Orchestration Tools