Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global professional services organization is seeking a Senior AI Engineer to join its AI-focused consulting practice. The organization specializes in delivering cutting-edge Artificial Intelligence, data science, and technology solutions that help businesses solve complex challenges and accelerate digital transformation. Its multidisciplinary teams partner with clients across industries to design, develop, and deploy innovative AI-powered solutions that drive measurable business outcomes.
The organization is seeking a Senior AI Engineer to develop and deploy enterprise-scale AI infrastructure and machine learning solutions. This role involves collaborating with cross-functional teams, including data scientists, machine learning engineers, project managers, and industry specialists, to build scalable AI platforms and modern data architectures.
The successful candidate will combine expertise in AI engineering, cloud infrastructure, MLOps, and data engineering to design and implement secure, high-performance solutions that support machine learning and Generative AI applications. This position offers the opportunity to contribute to transformative projects across industries such as healthcare, life sciences, autonomous systems, and renewable energy while mentoring engineering teams and driving technical innovation.
Key Responsibilities
- Design, develop, and deploy scalable architectures supporting machine learning and automation applications.
- Collaborate with clients to build enterprise AI and data engineering solutions tailored to business requirements.
- Develop modern data architectures that support structured and unstructured data for AI and Generative AI workloads.
- Design and optimize scalable data pipelines, database schemas, and cloud-native data platforms.
- Participate in architecture and deployment planning to ensure solutions meet security, scalability, and high-availability requirements.
- Implement engineering best practices for automation, AI infrastructure, HPC environments, and cloud technologies.
- Lead proof-of-concept initiatives to evaluate emerging data and cloud technologies.
- Drive technology modernization through thought leadership and engineering excellence.
- Mentor and coach junior engineers while promoting technical best practices and professional development.
- Collaborate with cross-functional stakeholders to deliver innovative AI-powered business solutions.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Physics, or another STEM-related discipline, or equivalent professional experience.
- 4+ years of experience in data engineering, software engineering, MLOps, or AI and machine learning deployment.
- 4+ years of experience designing and implementing cloud solutions using AWS, Azure, Google Cloud Platform, or equivalent technologies.
- 4+ years of programming experience using Python, SQL, Linux Shell/CLI, PowerShell, or similar technologies.
- 2+ years of experience leading technical teams and delivering complex engineering projects.
- Experience with DevOps and CI/CD tools such as Terraform, Jenkins, Airflow, Puppet, Ansible, or Chef.
- Experience designing and maintaining relational and NoSQL databases, including ETL/ELT pipelines.
- Experience deploying AI and machine learning workloads using Kubernetes, Docker, MLflow, Kubeflow, Kafka, TensorRT, Triton, or related technologies.
- Strong communication, collaboration, leadership, and stakeholder management skills.
- Ability to manage multiple priorities in a fast-paced consulting environment.
- Willingness to travel approximately 10% based on business and client requirements.
Preferred Qualifications
- Master’s degree in Computer Science, Engineering, Physics, or another STEM-related field.
- Professional cloud certifications such as AWS Certified Solutions Architect, AWS DevOps Engineer, AWS SysOps Administrator, or Microsoft Azure certifications.
- Experience with GPU computing technologies such as CUDA, OpenCL, or high-performance computing (HPC) environments.
- Experience designing enterprise AI infrastructure for large-scale machine learning and Generative AI applications.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
