AI Technical Architect

LTM; Kraków; On-site; PLN 60,000 - 90,000; Full time

Job summary

LTM is seeking an experienced Azure Architect to lead the design and governance of Azure AI architectures. The ideal candidate will have at least 15 years of IT experience, including 5 years on Azure, with hands-on expertise in deploying generative models and an understanding of AI practices. Key responsibilities include translating business requirements into technical solutions, guiding AI engineers, and ensuring alignment with Azure best practices. Essential skills include strong communication, Python, and knowledge of MLOps.

Qualifications

• 15 years of IT experience, with at least 5 years on Azure.
• Hands-on experience in architecting and implementing cloud solutions.
• Expertise in finetuning AI models and delivering training sessions.

Responsibilities

• Design Azure-native AI solution architectures.
• Translate business requirements into technical designs.
• Guide AI Engineers on design intent and constraints.

Skills

Strong communication skills

Experience in managing stakeholder relationships

Hands-on experience deploying generative models

In-depth knowledge of AI data engineering

Python

PySpark

Education

Microsoft Certified Solutions Architect Expert AZ303 AZ304

Databricks Professional Certificate in Large Language Models

Microsoft Certified Azure Solutions Architect Expert

Job description

6 Months Contract with possible extension (Direct B2B contract or Sub-contract)

15 years of IT experience currently hands on with minimum of 5 years of experience on Azure having technically guided managed and governed the team.

Role Purpose

Define and govern the right Azure AI architecture, ensuring solutions are secure, scalable, compliant, and aligned to business outcomes.

Core Responsibilities

• Translate business requirements into Azure-native AI solution architectures
• Design end-to-end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity
• Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches)
• Ensure alignment with Azure best practices, security standards, compliance, and governance
• Select and validate AI Factory accelerators for suitability and architectural fit
• Review and approve technical designs before and during execution
• Guide AI Engineers on design intent, trade-offs, and constraints
• Own architectural decision-making and resolve design-level risks and blockers
• Review solution readiness for UAT and production handover
• Support customer technical discussions and build architecture confidence

Primary skills

• Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions
• Experience in architecting designing and implementing solutions on-premises in the cloud and using hybrid models
• Hands‑on experience in deploying a variety of generative models
• In-depth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing
• Develop and deliver upskilling sessions to the customer
• Python and PySpark

Secondary Skills

• MLOps and LLMOps

Certifications

• Certifications Good to Have
• Microsoft Certified Solutions Architect Expert AZ303 AZ304
• Databricks Professional Certificate in Large Language Models
• Microsoft Certified Azure Solutions Architect Expert

Soft Skills

• Good customer connects Prepare solution presentations
• Positive attitude and excellent communication skills to manage customer calls
• Excellent problem solving skills Good communication