Senior AI Engineer

MAS Global Consulting; Argentina; On-site; ARS 83,351,856 - 111,135,808; Full time

Job summary

MAS Global Consulting is looking for a Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions focusing on LLM-based applications and predictive models. Candidates should have over 5 years of experience in AI/ML engineering, strong proficiency in Azure services, and be comfortable engaging with clients. The role involves building scalable pipelines, delivering AI solutions, and mentoring team members, within a collaborative and innovative environment. Proficiency in English is required.

Qualifications

• 5+ years of experience in AI/ML engineering, data science, or automation engineering.
• Strong hands-on experience with Azure cloud services and enterprise environments.
• Proficiency in Python to deliver AI production-grade solutions.
• Practical experience with LLMs, embeddings, and generative AI.

Responsibilities

• Design and deploy AI/ML solutions including LLM-based applications.
• Build scalable AI inference pipelines and integrate AI capabilities.
• Collaborate with clients to understand business challenges.

Skills

AI/ML engineering

Azure cloud services

Python

Advanced English

Data engineering

MLOps practices

Client engagement

Job description

Who You Are

You are a Senior AI Engineer who designs, builds, and deploys enterprise-grade AI solutions, from LLM-based applications to intelligent automation and predictive models. You are proactive, comfortable proposing and validating ideas, and capable of influencing AI strategy across multiple initiatives. You thrive in a Microsoft/Azure ecosystem, work confidently in client-facing environments, and are motivated to grow from a senior individual contributor into a future technical leader.

What You’ll Do

• Design, develop, and deploy AI/ML solutions, including LLM-based applications, intelligent automation, and predictive models.
• Build scalable AI inference pipelines and integrate AI capabilities into enterprise applications.
• Leverage Azure AI services such as Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Propose and deliver AI proof-of-concepts, solution architectures, and innovation initiatives.
• Identify opportunities to improve productivity through AI-driven automation and reusable components.
• Implement CI/CD pipelines, monitoring, and engineering best practices using Azure DevOps.
• Collaborate directly with clients to understand business challenges and translate them into AI solutions.
• Present technical concepts, architectures, and results to both technical and non-technical stakeholders.
• Contribute to knowledge sharing, mentoring, and future team leadership initiatives.

What You Bring

• 5+ years of experience in AI/ML engineering, data science, or automation engineering.
• Advanced English (B2/C1) is mandatory, with strong verbal and written communication skills.
• Strong hands‑on experience with Azure cloud services and enterprise environments.
• Proficiency in Python with the ability to deliver production‑grade AI solutions.
• Practical experience with LLMs, embeddings, vector databases, prompt engineering, and generative AI.
• Solid understanding of model lifecycle management, data engineering, and MLOps practices.
• Ability to work autonomously, handle ambiguity, and take ownership of complex initiatives.
• Confidence engaging with clients as a trusted technical advisor.

Nice to Have

• Experience with AI agents, RPA, orchestration frameworks, or workflow automation tools.
• Exposure to the Microsoft 365 ecosystem (Graph API, SharePoint, Teams, Power Platform, etc.).
• Experience designing end‑to‑end AI architectures in large‑scale or enterprise settings.
• Familiarity with Responsible AI principles, security, and compliance best practices.
• Previous mentoring, technical leadership, or team enablement experience.