AI Engineer – Agentic AI & Enterprise Automation

AI in this role

openaiclaudeanthropiccopilotlangchainsemantic-kernelazure-openaidatabricks

prompt-engineeringragllm-integrationai-agentsai-safety

Job Summary

We are seeking an AI Engineer to lead the introduction and adoption of agentic AI technologies across the group. You will design, develop, and implement enterprise AI solutions that improve productivity, automation, decision-making, and operational efficiency across industrial, manufacturing, corporate, and support functions.

You will have hands-on experience with modern AI ecosystems, including OpenAI platforms, the Anthropic Claude ecosystem, and Microsoft Copilot Studio. You will bring expertise in enterprise architecture, data lakes, AI agents, LLM integration, and business transformation.

Key Responsibilities

Design and implement enterprise agentic AI solutions across key functions, including manufacturing, finance, HR, procurement, supply chain, sales, customer service, and industrial operations.
Develop AI assistants, copilots, autonomous agents, and workflow automation using:
- Microsoft Copilot Studio
- Azure OpenAI Service
- Anthropic Claude ecosystem
- LLM APIs and orchestration frameworks
Lead enterprise data lake and AI-ready platform architecture, integrating ERP, CRM, manufacturing, IoT, and operational systems.
Partner with stakeholders to identify, evaluate, prioritize, and implement AI use cases with measurable ROI.
Build secure AI frameworks aligned with cybersecurity, governance, compliance, and enterprise standards.
Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.
Design AI agents for autonomous decision support, workflow execution, predictive analysis, and recommendations.
Establish AI governance standards, responsible AI practices, model monitoring, and prompt engineering standards.
Collaborate with infrastructure, cloud, cybersecurity, and application teams to deploy scalable AI environments.
Run AI innovation workshops, enable users, and build internal AI capabilities.
Support executive leadership in defining enterprise AI strategy and the product roadmap.

Technical Skills & Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
3+ years of experience in AI/ML engineering, enterprise automation, or digital transformation.
Strong hands-on experience with:
- Microsoft Copilot Studio
- Azure OpenAI Service
- Anthropic Claude ecosystem
- LLM integration and prompt engineering
- AI orchestration and autonomous agents
Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.
Understanding of data lake architecture, ETL pipelines, structured/unstructured processing, and enterprise integrations.
Experience integrating AI solutions with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM, and industrial systems.
Familiarity with Microsoft Azure, AWS, or Google Cloud.
Knowledge of industrial/manufacturing environments, IoT data, predictive maintenance, and operational analytics is highly preferred.
Experience with AI governance, cybersecurity, compliance, and enterprise architecture.
Strong communication and stakeholder management skills.

Preferred Skills

Experience in manufacturing or industrial sectors.
Experience with AI agents, multi-agent frameworks, and autonomous workflow systems.
Knowledge of Power Platform, Power Automate, Fabric, Databricks, and enterprise analytics platforms.
AI certifications from Microsoft, OpenAI, or other leading AI platforms are an advantage.

How we rate this

AI Engineer – Agentic AI & Enterprise Automation at NAFFCO rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGLLM IntegrationAI AgentsAI SafetyOpenAIClaudeAnthropic

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How have you integrated a large language model into a production application?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, RAG, LLM Integration, AI Agents, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review

Get new AI engineer jobs (Works on AI ●●●○ or higher) by email

One email a week with the new AI engineer jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Also alert me for new jobs at NAFFCO

Free. One email a week. Unsubscribe in one click.