About the Role
We are looking for a Senior AI Engineer who combines strong software engineering fundamentals with hands-on experience building AI agents for real business problems. In this client-facing role, you will work directly with customers to understand their business processes and workflows (finance, customer service, supply chain), then design, build, and deploy enterprise-grade AI solutions that automate and improve them. This role is based in Mexico or Colombia.
The ideal candidate is an organized self-starter who is equally comfortable in a discovery workshop with a client and in a code editor building agent orchestration, retrieval pipelines, and cloud infrastructure.
What You'll Do
- Partner with clients to map existing 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), with a working understanding of agent runtime, orchestration, models, and tooling.
- Build Retrieval-Augmented Generation (RAG) solutions, applying appropriate retrieval techniques (e.g., vector search, hybrid search, chunking strategies, re-ranking) to ground model responses in enterprise data.
- Lead and contribute to enterprise implementations, from requirements through production rollout and ongoing support.
- Develop services and integrations in multiple languages, primarily C# and Python, following DevOps standards (CI/CD, infrastructure as code, automated testing, monitoring).
- Make sound architectural decisions across microservice and monolithic systems, and integrate AI capabilities into existing client environments.
- Evaluate and select models, tools, and frameworks; test and monitor agent quality, safety, cost, and performance.
- Document solutions and communicate technical concepts clearly to both technical and non-technical stakeholders.
Required Qualifications
- 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 (source control, CI/CD pipelines, infrastructure as code, 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.
- Highly organized, self-directed, and able to manage multiple priorities with minimal supervision.
Preferred Qualifications
- Experience with agent frameworks and orchestration tools (e.g., Semantic Kernel, LangChain, AutoGen).
- Familiarity with vector databases and search platforms (e.g., Azure AI Search, pgvector, Pinecone).
- Experience with LLM evaluation, prompt engineering, and responsible AI practices.
- Cloud or AI certifications (e.g., Azure AI Engineer, AWS Solutions Architect).
- Experience with enterprise security, identity, and compliance requirements.
Core Competencies
- Client focus: Builds trust, listens well, and turns business needs into practical solutions.
- Technical breadth: Comfortable across languages, clouds, and architectural styles.
- Ownership: Takes initiative and drives work from idea to production.
- Organization: Plans carefully, tracks details, and delivers on commitments.
- Communication: Explains complex AI concepts clearly to varied audiences.
About UsArgano is the first of its kind: a digital consultancy totally immersed in high-performance operations. We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth.
Skills Required
- Direct client-facing experience with strong communication and stakeholder-management skills
- Business process or workflow analysis experience in finance, customer service, supply chain, or a related domain
- Software development experience with microservices and monolithic architectures
- Proficiency in multiple programming languages, including C# and Python
- Working knowledge of DevOps practices, source control, CI/CD, 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 Azure and at least one additional major cloud platform: AWS or Google Cloud
- Understanding of agent runtime, orchestration, model selection, and tooling
- Experience delivering enterprise implementations
- Ability to work independently, stay organized, and manage multiple priorities
- Experience with agent frameworks and orchestration tools such as Semantic Kernel, LangChain, or AutoGen
- Familiarity with vector databases and search platforms such as Azure AI Search, pgvector, or Pinecone
- Experience with LLM evaluation, prompt engineering, and responsible AI practices
- Cloud or AI certifications, such as Azure AI Engineer or AWS Solutions Architect
- Experience with enterprise security, identity, and compliance requirements
Argano Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Argano and has not been reviewed or approved by Argano.
-
Parental & Family Support — Parental leave policies offer up to 8 weeks for all parents, with birth mothers eligible for up to 20 weeks of paid time off. This structure signals meaningful support for families during and after childbirth or adoption.
-
Retirement Support — Traditional and Roth 401(k) plans include immediate company matching. This immediate match enhances long-term savings and indicates a solid retirement benefit.
-
Leave & Time Off Breadth — Flexible time off, paid holidays, and specialized leave expand time-away options beyond standard PTO. This breadth allows employees to plan rest and personal needs more freely.
Argano Insights
What We Do
Argano is a next-generation business and technology services provider that builds the Digital Foundations™ that make businesses run better. We leverage insights and innovations to help leaders design and implement the complex solutions necessary to not just survive but thrive and improve financial and operational performance. Argano believes a firm’s core operating technologies should be enablers of commercial innovation, not a constant source of limitation, and is committed to helping clients think differently about how they deploy and manage people, processes and technology.
