Cloud Architect Jobs in Puerto Rico.
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We are looking for a Senior Software Engineer with extension experience in Browser Automation or Applied AI.
About this team
The AI Technology Team within our Product Technology Group serves as BOLD’s internal incubator for applied AI, leveraging the latest large-language models to tackle our most complex challenges. We are building an intelligent automation framework designed to solve real-world career workflows at scale. We are looking for engineers who are passionate about high-scale browser automation and agentic AI systems that reason, plan, and adapt. This role is hybrid; you'll collaborate in person with the engineering team in Guaynabo 2 days a week.
What you'll do
- Design & Architect: Contribute to the design, development, and deployment of intelligent automation systems and scalable browser-based frameworks.
- Build Agentic Workflows: (AI Focus) Implement multi-step workflows leveraging reasoning, self-reflection, and adaptive execution strategies.
- Scale Automation: (Browser Focus) Design and maintain large-scale browser automation systems using tools like Playwright, Selenium, or Puppeteer.
- Optimize Performance: Refine LLM prompts for accuracy and develop monitoring systems to detect automation drift or performance issues.
- Solve Complex Edge Cases: Navigate challenges like bot detection, captchas, shadow DOM, and dynamic rendering.
- Collaborate Globally: Work across high-performing, cross-functional teams to translate vision into end-to-end production features.
- Mentor: Guide junior engineers and promote engineering best practices and technical excellence.
What you'll need
- Experience: 5–7 years of professional software engineering experience building and shipping production-grade systems.
- Technical Mastery: Expert-level proficiency in JavaScript and TypeScript.
- Specialized Track (Browser): Deep experience with browser automation frameworks (Playwright, Selenium, Puppeteer) and a strong understanding of DOM architecture.
- Specialized Track (AI): Hands-on experience with LLMs, RAG pipelines, vector databases, and frameworks like LangChain or LangGraph.
- Systems Thinking: Strong understanding of system design, testing strategies, and scalability.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).
What's good to have
- Experience with Python and API development (REST/gRPC).
- Exposure to Cloud infrastructure (AWS/Azure) and CI/CD pipelines.
- Experience combining AI reasoning with browser automation workflows.
Benefits
Outstanding Compensation
- Competitive salary
- Bi-annual bonus
- 401(k) plan with match
- Equity in company
- Flexible spending accounts (health, dependent care)
- Internet and home office reimbursement
- In-office catered breakfast and lunches
100% Full Health Benefits
- Medical, dental, and vision (optional plans for your family)
- Life & long-term disability insurance (optional)
- Mental health support and resources
- Wellness reimbursement (gym, health apps, etc.)
- Pet Insurance (optional)
Flexible time away
- Flexible PTO
- Sick time policy
- Observed holidays
Certain group health plans are required to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRFs). The MRFs for the Triple S Salud medical benefit plans are linked below as of July 1, 2022:
https://salud.grupotriples.com/en/transparency-in-coverage-machine-readable-files/
ELIGIBILITY
LOCATION
This position is open to residents of Puerto Rico and US citizens willing to relocate to Puerto Rico.
#LI-Hybrid
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD
We are seeking a Senior Applied AI Engineer to lead the development of an advanced automation framework powered by Large Language Models (LLMs). At BOLD, we aren’t just following the AI trend; we are building the future of intelligent automation. This isn’t about simple chatbots—it’s about engineering agentic workflows that can reason, plan, and adapt dynamically to solve complex, real-world career challenges.
If you are a JavaScript/TypeScript expert who lives at the intersection of software engineering and cutting-edge AI, we want you on our global team.
About this team
The AI Technology Team within our Product Technology Group serves as BOLD’s internal incubator for applied AI, leveraging the latest large-language models to tackle our most complex challenges.
What you'll do
-
Build Agentic Systems: Implement multi-step workflows leveraging reasoning, self-reflection, and adaptive execution strategies.
-
Architect RAG Pipelines: Design retrieval-augmented generation (RAG) and memory-augmented architectures to ensure long-term system adaptability.
-
Optimize LLM Performance: Refine prompts, experiment with few-shot learning, and utilize fine-tuned models to maximize accuracy and efficiency.
-
Innovate with Data: Explore NLP techniques, embeddings, and vector databases to drive continuous system improvement.
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Ensure Reliability: Develop robust model evaluation frameworks to guarantee the accuracy and safety of AI-driven products.
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Collaborate Globally: Work across high-performing, cross-functional teams to translate vision into end-to-end production features.
What you'll need
-
Experience Level: 5+ years of professional software engineering experience, with at least 2+ years of hands-on experience building and deploying LLM-powered applications.
- Bachelor/ Master’s Degree in Computer Science, Data Science, or other related engineering branches.
-
Core Technical Mastery: Expert-level proficiency in JavaScript and TypeScript.
-
AI Engineering Expertise: Proven experience building with LLMs, prompt chaining, and feedback loops.
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Advanced Framework Knowledge: Hands-on experience with LangChain, LangGraph, and/or LlamaIndex.
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Architectural Savvy: Deep understanding of software stacks, database modeling, CI/CD, and service-oriented architectures.
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Visionary Mindset: Familiarity with multi-modal models (vision + text) and a passion for staying ahead of the AI curve.
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Communication: The ability to explain complex technical concepts to diverse stakeholders and collaborate effectively.
What's good to have
- 7+ years of overall engineering experience.
-
Experience with Python or web automation frameworks like Playwright.
-
Deep knowledge of Machine Learning algorithms (Regression, Neural Networks, Deep Learning).
-
Experience with self-hosted models, LoRA adapters, and fine-tuning.
-
Exposure to Cloud infrastructure (AWS/Azure) and deployment tools like Jenkins.
Benefits
Outstanding Compensation
- Competitive salary
- Bi-annual bonus
- 401(k) plan with match
- Equity in company
- Flexible spending accounts (health, dependent care)
- Internet and home office reimbursement
- In-office catered breakfast and lunches
100% Full Health Benefits
- Medical, dental, and vision (optional plans for your family)
- Life & long-term disability insurance (optional)
- Mental health support and resources
- Wellness reimbursement (gym, health apps, etc.)
- Pet Insurance (optional)
Flexible time away
- Flexible PTO
- Sick time policy
- Observed holidays
Certain group health plans are required to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRFs). The MRFs for the Triple S Salud medical benefit plans are linked below as of July 1, 2022:
https://salud.grupotriples.com/en/transparency-in-coverage-machine-readable-files/
ELIGIBILITY
LOCATION
This position is open to residents of Puerto Rico and US citizens willing to relocate to Puerto Rico.
#LI-Hybrid
About Bold
We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
We Celebrate And Promote Diversity And Inclusion
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.
Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.
Ready to apply?
Apply to BOLD
About Xtillion
Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact.
Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success.
About the Role
We’re looking for an Engineering Manager to lead teams building and deploying AI-powered, production-grade software systems directly into customer environments.
In this role, you’ll operate at the intersection of technical leadership and client engagement. You’ll be responsible for guiding engineers through ambiguous problem spaces, ensuring high-quality execution, and maintaining strong alignment between business objectives and technical solutions.
This position is ideal for leaders who enjoy being hands-on when needed, working closely with clients, mentoring engineers, and owning the successful delivery of complex, real-world systems.
What You’ll Do
- Lead and support teams of software and data engineers delivering AI-enabled systems in production
- Own the technical execution and delivery of client-facing projects, ensuring quality, reliability, and outcomes
- Collaborate with cross-functional teams to translate business needs into production-ready systems
- Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows
- Provide technical mentorship and coaching to engineers through problem solving sessions, code reviews, design discussions, and regular feedback
- Balance short-term delivery needs with long-term system maintainability and scalability
- Stay current with emerging AI and software technologies and apply them pragmatically to client solutions
What We’re Looking For
Required Qualifications
- 6+ years of full-stack software engineering experience
- 1-3 years of experience leading or managing technical teams
- Demonstrated ability to set technical direction for client-facing initiatives, balancing delivery commitments, stakeholder expectations, and technical quality
- Proven ability to lead client projects, build strong relationships, and deliver on-time results aligned with client goals.
- Experience designing, building and maintaining production-grade systems in cloud environments (e.g., AWS, Azure, etc.)
- Expertise in software engineering best practices, system design, and agile delivery methodologies
- Experience with version control systems (e.g., GitHub) and CI/CD processes
- Strong written and verbal English communication skills
Preferred Qualifications
- Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG, agentic systems, fine-tuning)
- Experience with data-intensive systems, including ETL/ELT pipelines and analytical platforms
- Experience with Infrastructure as Code (e.g., Terraform)
- Experience with workflow orchestration (e.g., Airflow, AWS Step Functions)
- Strong experience with SQL and relational or analytical data systems
- Associate-level cloud architect certification (e.g., Azure Solutions Architect Associate, AWS Solutions Architect Associate, or equivalent)
Why Join Xtillion
At Xtillion, you’ll take ownership of meaningful, production-grade systems and work on software that is relied upon in real-world environments. You’ll join a fast-moving team where engineers influence technical direction and uphold strong engineering standards, supported by competitive compensation and meaningful opportunities for career growth.
Ready to Build What Matters?
Join Xtillion and be part of a collaborative team delivering real-world data and AI solutions at scale. If you’re excited about taking ownership of complex systems and turning AI into measurable business outcomes, we’d love to hear from you!
Learn more at https://www.xtillion.com
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off and 401(k) plan.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact gguerrero@xtillion.com
Xtillion is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. Employment at Xtillion is based solely on a person's merit and qualifications.
Ready to apply?
Apply to Xtillion