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Join Us in Shaping the Future of AI

At VortAI, we partner with forward thinking businesses to design and deploy cutting edge AI solutions that drive real world impact. We’re a team of innovators, engineers, and strategists passionate about transforming industries and unlocking their full potential.

We’re looking for curious minds, bold thinkers, and problem solvers to help shape what’s next.

Contribute to a culture of innovation, impact, and growth where your ideas help shape the future of AI.

JOB OPENINGS

  • At VortAI, we help forward-thinking organizations unlock the power of artificial intelligence on the cloud. As an AWS focused AI consulting firm, we design and deliver scalable, secure, and innovative solutions that transform businesses across industries.

    We are looking for an AWS Cloud Solutions Architect to join our team of AI consultants, engineers, and innovators. In this role, you will design cloud architectures that power cutting-edge AI applications, from generative models to advanced analytics, ensuring they are production-ready, resilient, and cost-optimized.

    💼 What You’ll Do

    • Design end-to-end cloud architectures on AWS to support AI/ML solutions, including data pipelines, model training environments, and inference systems.

    • Advise clients on AWS best practices for scalability, reliability, security, and cost management.

    • Collaborate with AI consultants, data engineers, and machine learning engineers to translate business requirements into technical architectures.

    • Lead cloud assessments, migrations, and optimizations for enterprise clients.

    • Stay current on AWS services, trends, and emerging technologies to help shape VortAI’s technical strategies.

    • Provide architectural guidance and hands-on support to project teams during implementation.

    🔧 What We’re Looking For

    • 3–5+ years of experience in cloud architecture, with a strong focus on AWS.

    • Deep knowledge of AWS services, including EC2, S3, Lambda, API Gateway, IAM, CloudFormation, SageMaker, Bedrock, Glue, Redshift, and Kinesis.

    • Proven experience designing scalable, secure, and high-performance cloud solutions.

    • Familiarity with AI/ML workloads and data processing in AWS environments.

    • Strong client communication skills ability to explain complex architectures to both technical and non-technical audiences.

    • AWS Solutions Architect certification (Associate or Professional) is a strong plus.

    🌍 Why Join VortAI

    • Work on groundbreaking AI projects with global impact.

    • Collaborate with a passionate, sharp, and curious team that values innovation.

    • Enjoy flexibility: remote work, flexible hours, and continuous learning opportunities.

    • Be part of a culture that values creativity, ownership, and making a real-world difference.

  • At VortAI, we help organizations harness the power of artificial intelligence on the cloud. As an AWS-focused AI consulting firm, we design and deliver cutting-edge, scalable solutions that transform data into actionable insights and real-world impact.

    We are looking for a Data Engineer to join our growing team of AI specialists, cloud architects, and innovators. In this role, you will build and optimize data pipelines, design cloud-native data architectures, and ensure that our clients have the data foundations they need to power advanced AI and machine learning solutions.

    💼 What You’ll Do

    • Design, develop, and maintain scalable data pipelines and architectures using AWS services like Glue, Redshift, S3, Athena, Kinesis, and Lambda.

    • Work closely with AI consultants, machine learning engineers, and cloud architects to ensure seamless data flow across systems.

    • Optimize data workflows for performance, cost-efficiency, and reliability.

    • Implement best practices for data governance, security, and compliance.

    • Assist clients with data ingestion, transformation, and integration from various sources.

    • Stay up to date on the latest AWS data services, tools, and trends to guide VortAI’s data strategies.

    🔧 What We’re Looking For

    • 3–5+ years of experience as a data engineer, cloud data engineer, or similar role.

    • Strong experience with AWS data services: Glue, Redshift, S3, Athena, Kinesis, Lambda, and others.

    • Proficiency in SQL and one or more programming languages (Python preferred).

    • Experience with building ETL/ELT pipelines, data lake architectures, and real-time streaming data systems.

    • Understanding of data governance, data quality, and security best practices.

    • Excellent problem-solving skills and ability to work in collaborative, client-facing environments.

    • AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect) are a plus.

    🌍 Why Join VortAI

    • Work on challenging, meaningful projects at the forefront of AI and cloud innovation.

    • Collaborate with a talented, ambitious team in a supportive and flexible environment.

    • Enjoy remote work, flexible hours, and continuous learning opportunities.

    • Be part of a culture that values curiosity, impact, and pushing the boundaries of what’s possible.

  • At VortAI, we partner with organizations to design and deliver AI solutions that transform industries. As an AWS-focused AI consulting firm, we help clients turn cutting-edge technologies, from large language models to predictive analytics, into scalable, cloud-native solutions that drive real business impact.

    We are looking for an AI Consultant to join our expert team. In this role, you will work closely with clients to understand their needs, translate them into technical solutions, and help implement AI projects from concept to deployment, combining your technical expertise with business insight.

    💼 What You’ll Do

    • Lead client engagements to identify AI opportunities and define solution architectures using AWS services like SageMaker, Bedrock, Lambda, and more.

    • Collaborate with machine learning engineers, data engineers, and cloud architects to deliver tailored, end-to-end AI solutions.

    • Design, prototype, and validate AI models for applications such as natural language processing, computer vision, and predictive analytics.

    • Translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.

    • Stay current on AI trends, AWS services, and emerging tools to inform client strategies and VortAI’s consulting approach.

    🔧 What We’re Looking For

    • 3–5+ years of experience in AI, machine learning, or data science roles, preferably in a consulting or client-facing environment.

    • Strong knowledge of AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, etc.) and cloud-native solution design.

    • Solid programming skills in Python (or similar) and familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).

    • Strong problem-solving abilities and the flexibility to work across industries and project types.

    • Excellent communication and presentation skills, ability to engage both technical teams and business leaders.

    • AWS certifications (e.g., AWS Certified Machine Learning – Specialty) are a plus.

    🌍 Why Join VortAI

    • Work at the intersection of AI innovation and real-world impact.

    • Join a collaborative, supportive team that values creativity and ownership.

    • Enjoy the flexibility of remote work, flexible hours, and growth opportunities.

    • Be part of a company that’s shaping the future of cloud-based AI.

  • At VortAI, we help organizations unlock the power of artificial intelligence through scalable, cloud-native solutions. As an AWS-focused AI consulting firm, we deliver cutting-edge machine learning systems that create real-world impact.

    We are looking for a Machine Learning Engineer with MLOps expertise to join our growing team. In this hybrid role, you will build, deploy, and maintain machine learning solutions on AWS, ensuring they are production-ready, automated, and optimized for performance.

    💼 What You’ll Do

    • Develop, train, and optimize machine learning models using AWS SageMaker, Bedrock, and related services

    • Build and manage MLOps pipelines to automate model training, testing, deployment, and monitoring

    • Collaborate with data engineers, cloud architects, and backend developers to deliver end-to-end AI solutions

    • Design workflows for reproducibility, scalability, and performance in production environments

    • Implement monitoring and alerting to track model performance and detect drift

    • Stay current with the latest ML research, AWS tools, and MLOps best practices to help shape VortAI’s technical strategy

    🔧 What We’re Looking For

    • 3 to 5+ years of experience in machine learning, MLOps, or ML engineering roles

    • Strong experience with AWS AI/ML services, especially SageMaker and SageMaker Pipelines

    • Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn

    • Familiarity with CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code tools (CloudFormation, Terraform)

    • Understanding of model deployment, monitoring, and maintenance at scale

    • Strong problem-solving skills and ability to work in a collaborative, client-facing environment

    • AWS certifications (such as AWS Certified Machine Learning – Specialty or DevOps Engineer) are a plus

    🌍 Why Join VortAI

    • Work on exciting, high-impact AI projects that push the boundaries of what’s possible

    • Join a talented, ambitious team that values innovation, curiosity, and real-world outcomes

    • Enjoy the flexibility of remote work, flexible hours, and continuous learning opportunities

    • Contribute to a company that’s shaping the future of AI on AWS

  • At VortAI, we specialize in designing cloud-native AI solutions that help organizations transform the way they work. Our team of consultants, engineers, and architects deliver powerful, scalable systems that bring machine learning to life.

    We are seeking a Backend Developer (AWS focus) to help us build the infrastructure that powers our AI solutions. In this role, you will develop serverless and microservice backends using AWS services, enabling seamless integration of AI capabilities into client applications.

    💼 What You’ll Do

    • Design, develop, and maintain backend systems using AWS Lambda, API Gateway, DynamoDB, and related services

    • Create robust APIs to connect front-end applications and AI services

    • Collaborate with machine learning engineers, cloud architects, and data engineers to deliver complete solutions

    • Ensure backends are scalable, secure, and optimized for performance

    • Implement testing, monitoring, and alerting for backend systems

    • Stay current with AWS backend technologies and best practices

    🔧 What We’re Looking For

    • 3 to 5+ years of experience as a backend developer, software engineer, or similar role

    • Strong experience with serverless architectures and AWS services like Lambda, API Gateway, DynamoDB, S3, and CloudFormation

    • Proficiency in Python or Node.js (or similar)

    • Familiarity with integrating machine learning models into backend systems is a plus

    • Solid understanding of RESTful API design, security best practices, and system performance optimization

    • AWS certifications (e.g., AWS Certified Developer – Associate) are a plus

    🌍 Why Join VortAI

    • Build backend systems that bring AI solutions to life for real clients

    • Collaborate with a forward-thinking team on challenging, meaningful projects

    • Enjoy remote work flexibility and a supportive, learning-focused culture

    • Contribute to a company that values innovation, ownership, and impact

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