Senior AI Engineer

Job not on LinkedIn

🔥 4 minutes ago

🌐 Mexico, Colombia – Remote

🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 47 days.
• No salary listed.

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Argano

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

Consulting • Enterprise • Artificial Intelligence

Argano is a digital transformation and management consulting firm that helps enterprises design and implement high-performance operations. It provides strategy and business consulting, performance consulting, and end-to-end enterprise technology services (cloud migration, application development, ERP and business applications, managed services, and application support). Argano also delivers AI and data capabilities—covering generative AI, agentic AI, AI orchestration and governance, data engineering, data warehousing, and business intelligence—to embed AI into operational workflows. The company partners with major technology vendors (Microsoft, Oracle, SAP, AWS, Snowflake, Blue Yonder, Salesforce, and others) and serves clients across supply chain & logistics, retail/distribution/CPG, manufacturing, healthcare & life sciences, financial services, and construction sectors.

📋 Description

• Partner with clients to map business processes and workflows, identify automation opportunities, and translate them into AI agent solutions • Design, build, and deploy AI agents on Azure, including Azure AI Foundry • Build Retrieval-Augmented Generation solutions using vector search, hybrid search, chunking strategies, and re-ranking • Lead and contribute to enterprise implementations from requirements through production rollout and ongoing support • Develop services and integrations primarily in C# and Python, following DevOps standards • Make architectural decisions across microservice and monolithic systems and integrate AI capabilities into client environments • Evaluate and select models, tools, and frameworks; test and monitor agent quality, safety, cost, and performance • Document solutions and communicate technical concepts to technical and non-technical stakeholders

🎯 Requirements

• Proven experience working directly with clients, with strong communication and stakeholder-management skills • Background in business process or workflow analysis in at least one domain such as finance, customer service, or supply chain • Software development background with experience in both microservices and monolithic architectures • Proficiency in multiple programming languages, including C# and Python • Working knowledge of DevOps standards and practices, including source control, CI/CD pipelines, infrastructure as code, and observability • Experience building RAG solutions and applying retrieval techniques • Experience building AI agents on Azure, including Azure AI Foundry • Hands-on experience with at least one additional major cloud platform (AWS or Google Cloud); working experience with at least two of the three major clouds • Understanding of agent runtime, orchestration, model selection, and tooling • Experience delivering enterprise implementations • Experience with agent frameworks and orchestration tools such as Semantic Kernel, LangChain, or AutoGen (preferred) • Familiarity with vector databases and search platforms such as Azure AI Search, pgvector, or Pinecone (preferred) • Experience with LLM evaluation, prompt engineering, and responsible AI practices (preferred) • Cloud or AI certifications such as Azure AI Engineer or AWS Solutions Architect (preferred) • Experience with enterprise security, identity, and compliance requirements (preferred)

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