AI Solutions Architect at EnzRossi – Argentina | Jobyssey

This client-facing role combines deep AI expertise with technical leadership. You will work directly with enterprise customers to architect scalable solutions, guide delivery teams, and drive successful production deployments.

What you'll do

Drive and facilitate client communications, including leading scoping sessions, managing stakeholder expectations, and presenting results.
Lead technical decisions on enterprise AI projects, ensuring the best-fit solutions are proposed and delivered.
Identify potential risks within project roadmaps, review milestones and estimates, and oversee delivery quality.
Build and deliver high-impact client-facing presentations and technical decks, ensuring clarity for both business and technical audiences.
Collaborate with cross-functional teams, such as Sales, Product, and Customer Success, to ensure an exceptional client experience from initial engagement through ongoing project phases.
Lead client engagements, ensuring alignment with client goals while planning and preparing for subsequent project phases.
Review and refine solution architectures, roadmaps, and delivery approaches to maintain technical excellence and scalability.
Stay ahead of emerging AI technologies, recommending best practices and integrating responsible AI principles into every engagement.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
5+ years of experience in AI/ML and Data solutions.
Strong communication skills, able to collaborate effectively with technical and non-technical stakeholders.
Proven experience leading client engagements, including scoping discussions, technical presentations, and solution delivery in consulting environments.
Hands-on experience with RAG (Retrieval-Augmented Generation).
Experience working with LLMs, AI agents, and vector databases.
Experience designing data architectures and integrating AI solutions.
Experience with AI tools and libraries, such as Hugging Face, LangChain, and Agentic frameworks.
Expertise in Python.
Expertise in AWS, Azure, or GCP.
Experience with DevOps frameworks such as Docker, Kubernetes, and CI/CD pipelines.
Knowledge of databases (SQL, NoSQL) and systems like Kafka and Airflow.
Team management experience.
Project management experience.
Fluent English, spoken and written.
Stable career history.

Nice to have

Hands-on experience in building and maintaining production-grade software systems.
Deep understanding of CI/CD practices, cloud infrastructure automation, container orchestration, and monitoring.
Participation in pre-sales activities such as discovery sessions, proposal design, and technical feasibility assessments.
Strong background in building scalable data pipelines, working with structured and unstructured data, and delivering actionable insights.
Solid understanding of statistical modeling and practical experience applying deep learning techniques in real-world projects.

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What you'll do

What we're looking for

Nice to have