CI&T17.02.26
AI SCORE 8.5

AI Platform Architect - Remote Position

$120K–$150K/year

About the Role

We are seeking a talented AI Platform Architect to join our dynamic team in a fully remote capacity. As an AI Platform Architect, you will play a crucial role in shaping the future of AI solutions at CI&T. This position focuses on technical architecture rather than pure leadership, allowing you to leverage your expertise in AI and machine learning to establish best practices for AI/ML lifecycle management using Databricks. Your contributions will enable faster execution of new AI use cases and projects, making a significant impact on our clients' success.

What You'll Do

  • Design scalable AI solutions that prioritize speed and efficiency over perfection.
  • Support the MLOps team in addressing gaps in services and platform capabilities.
  • Collaborate with cross-functional teams to implement best practices in AI/ML lifecycle management.
  • Facilitate the onboarding of new AI projects, ensuring seamless integration into existing systems.
  • Work closely with stakeholders to understand their needs and translate them into technical requirements.
  • Provide mentorship and guidance to junior team members, fostering a culture of collaboration and excellence.
  • Engage in continuous learning and stay updated on the latest trends in AI and machine learning.
  • Participate in decision-making processes regarding the prioritization of AI projects and initiatives.

Requirements

  • 5+ years of experience in AI/ML architecture and implementation.
  • Strong expertise in Databricks and MLOps practices.
  • Proven track record of designing and deploying scalable AI solutions.
  • Excellent problem-solving skills and the ability to work under pressure.
  • Experience in leading technical projects and collaborating with diverse teams.
  • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
  • Ability to work remotely and manage time effectively.

Nice to Have

  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with containerization technologies like Docker and Kubernetes.
  • Knowledge of data engineering principles and practices.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 per year.
  • Premium healthcare coverage for you and your family.
  • Meal vouchers and mobile services subsidy.
  • Generous maternity and parental leave policies.
  • Paid vacations and Colombian holidays.
  • Access to CI&T University for continuous learning and development.
  • A diverse and inclusive work environment that values your unique identity and experiences.
  • Opportunities for career advancement and professional growth.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work with cutting-edge AI technologies in a fully remote setting. CI&T values diversity and provides excellent benefits, making it an attractive workplace for top talent.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Deep expertise in AI and Machine Learning frameworks, particularly with a strong proficiency in Databricks for MLOps, ensuring efficient management of the AI/ML lifecycle.

Proven experience in designing cloud-native architectures using Kubernetes and Docker, demonstrating a strong understanding of containerization and orchestration for scalable AI platforms.

A proactive problem-solver with a mindset geared towards continuous improvement and innovation in AI technologies, capable of adapting to the evolving landscape of AI development while working effectively in a remote environment.

Learning Resources

Databricks Documentationguide

Career Path

AI Platform Architect(Now)Lead AI Solutions Engineer(1-2 years)Director of AI Architecture(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
20.1%
AI Adoption
75%
Investment in AI Startups
+150%
Labour Demand for AI Roles
+40%
Avg Salary for AI Platform Architects
$180K

Skills & Requirements

Required
AIMachine LearningDatabricks
Growing in Demand
Natural Language Processing (NLP)Data EngineeringServerless Computing
Declining
HadoopTraditional Data Warehousing

Domain Trends

Rise of AI-Driven Automation
Businesses are increasingly adopting AI to automate processes, with 60% of companies reporting operational efficiency gains.
Shift Towards MLOps
The MLOps market is expected to grow by 30% in the next 5 years as organizations emphasize operationalizing machine learning models.
Cloud-Native AI Solutions
Over 65% of AI workloads are expected to run on cloud platforms by 2025, driven by scalability and cost-effectiveness.

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