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Ai Solutions Architect Jobs in Puerto Rico (NOW HIRING)

Senior AI Fellow

San Juan, PR · On-site

$61K - $77K/yr

Data organization and information architecture * Integration of AI tools and platforms across workflows AI Products amp; Internal Solutions Support the creation of AI-powered tools and applications ...

Showing results 21-40

Ai Solutions Architect information

What is an AI Solutions Architect?

AI Solutions Architects are professionals who design, develop, and implement artificial intelligence solutions to solve business problems. They work closely with stakeholders to understand requirements, select appropriate AI technologies, and ensure that systems are scalable, secure, and aligned with organizational goals. Their responsibilities often include overseeing the integration of AI models into existing infrastructures, collaborating with data scientists and engineers, and guiding the end-to-end lifecycle of AI projects. They also stay updated on the latest AI advancements to recommend innovative solutions. Overall, AI Solutions Architects bridge the gap between technical teams and business objectives to drive successful AI adoption.

What skills and qualifications are needed to be an AI Solutions Architect?

To thrive as an AI Solutions Architect, you need expertise in machine learning, data science, and software engineering, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), AI/ML frameworks (like TensorFlow or PyTorch), and relevant certifications are highly valued. Strong problem-solving, stakeholder communication, and project management skills set top performers apart. These competencies ensure effective design, deployment, and integration of AI solutions that align with business objectives.

How does an AI Solutions Architect collaborate with cross-functional teams during a project lifecycle?

AI Solutions Architects play a central role in bridging the gap between technical teams, such as data scientists and engineers, and non-technical stakeholders like business analysts and project managers. They are responsible for gathering requirements, designing scalable AI solutions, and ensuring alignment with business objectives throughout the project. Regular collaboration involves facilitating meetings, providing technical guidance, and translating complex AI concepts into actionable plans for all team members. This collaborative approach ensures that projects are delivered efficiently and meet both technical and business needs.

What is the difference between Ai Solutions Architect vs Data Scientist?

AspectAi Solutions ArchitectData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in cloud platforms or AI toolsBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentDesigning AI solutions, collaborating with engineering teams, implementing AI models in productionAnalyzing data, building models, interpreting results to inform business decisions
Employer & Industry UsageTech companies, AI-focused firms, large enterprises integrating AI solutionsResearch institutions, tech companies, finance, healthcare, and marketing sectors

While both roles involve AI and data, an Ai Solutions Architect focuses on designing and deploying AI systems within organizations, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The architect role emphasizes solution architecture and implementation, often requiring knowledge of cloud platforms and engineering, while the Data Scientist concentrates on statistical analysis and model development.

How much does an AI Solutions Architect make?

An AI Solutions Architect typically earns between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and cloud platforms can earn higher salaries, often exceeding $180,000.

What does an AI Solutions Architect do?

An AI Solutions Architect designs and implements artificial intelligence solutions to meet business needs, often working with machine learning models, data pipelines, and cloud platforms. They analyze requirements, develop technical strategies, and collaborate with teams to deploy scalable AI systems, typically requiring knowledge of programming, data science, and AI tools. Their role ensures AI technologies are effectively integrated into organizational processes.

What are popular job titles related to Ai Solutions Architect jobs in Puerto Rico?

For Ai Solutions Architect jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Architect jobs in Puerto Rico look for?

The top searched job categories for Ai Solutions Architect jobs in Puerto Rico are:

Infographic showing various Ai Solutions Architect job openings in Puerto Rico as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% In-person job distribution.

Google Cloud Platform Engineer

Diverse-Lynx

Aguadilla, PR • On-site

$60 - $80/hr

Other

Posted 6 days ago


Job description

Pay Rate $50 - $53, W2

Location: Aguadilla, Puerto Rico

Duration: 6 months

Key Responsibilities
  • Design, build, deploy, and support scalable, secure, and high-availability solutions on Google Cloud Platform (GCP).
  • Implement and manage cloud services including GKE, Compute Engine, Cloud Run, Cloud Functions, Cloud Storage, BigQuery, and Cloud SQL.
  • Develop Infrastructure-as-Code (IaC) using Terraform and automate deployments through CI/CD pipelines.
  • Build and manage containerized applications using Docker and Kubernetes.
  • Develop and deploy Generative AI solutions using Google Gemini and Vertex AI, including AI agents, chatbots, document intelligence, and workflow automation.
  • Implement RAG (Retrieval Augmented Generation) architectures, prompt engineering, vector databases, and enterprise AI integrations.
  • Ensure cloud security, IAM governance, monitoring, logging, performance optimization, and cost management.
  • Collaborate with business, architecture, and development teams to deliver cloud and AI transformation initiatives.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • 5-10 years of IT experience, including 3+ years of hands-on GCP experience.
  • Strong expertise in GCP services, cloud architecture, networking, security, and DevOps practices.
  • Experience with Terraform, Kubernetes, Docker, GitHub/GitLab, CI/CD, and automation frameworks.
  • Hands-on experience building AI/GenAI applications using Google Gemini, Vertex AI, LangChain/LangGraph, and API integrations.
  • Strong programming skills in Python and scripting languages.
  • Experience with monitoring, troubleshooting, and supporting production cloud environments.
  • Excellent communication, stakeholder management, and problem-solving skills.
Preferred Certifications
  • Google Cloud Professional Cloud Architect
  • Google Cloud Professional DevOps Engineer
  • Google Cloud Generative AI Engineer (preferred)
Nice-to-Have (Pharma/Life Sciences Environment)
  • Experience supporting Life Sciences, Clinical, R&D platforms.
  • Understanding of GxP, CSA/CSV validation, and regulated cloud environments.
  • Knowledge of data governance, privacy, and compliance requirements within pharmaceutical organizations.
  • Experience working with enterprise AI governance and responsible AI frameworks in regulated industries.

Thanks

Gaurav Sharma

Contact: 7324521006 Ext: 468

gaurav.sharma@diverselynx.com

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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