Senior AI Engineer

Responsibilities

You will partner with clients to design, build, and deploy enterprise-grade AI agents that automate complex business processes. This involves managing the full lifecycle of AI solutions, from discovery workshops to production rollout and ongoing support.

Requirements

The role requires a strong background in software engineering with proficiency in C# and Python, alongside experience in building RAG solutions and AI agents on Azure. Candidates must possess excellent communication skills for client-facing work and a solid understanding of cloud infrastructure and DevOps practices.

Skills

• C#
• Python
• Azure
• AI Agents
• RAG
• DevOps
• Microservices
• Cloud Infrastructure
• Orchestration
• Vector Search
• CI/CD
• Infrastructure as Code
• Stakeholder Management
• Business Process Analysis
• Prompt Engineering
• Semantic Kernel

About this role

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.

Argano 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. 

Argano is an equal-opportunity employer. All applicants will be considered for
employment without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, veteran status, or disability status.

About Argano

IT Services and IT Consulting · 1,001-5,000 employees · headquartered in Plano, Texas