Jobgether is hiring an AI Automations Cloud Deployment Engineer to lead the end-to-end design, deployment, and optimization of AI and machine learning solutions across major cloud platforms. You will build scalable, secure infrastructures that power intelligent systems and advanced analytics within our global organization.
What You'll Do
- Design, implement, and manage cloud-based infrastructures to support AI and machine learning workloads on platforms such as AWS, Azure, or GCP.
- Develop and optimize MLOps pipelines for model training, testing, deployment, and continuous monitoring.
- Apply best practices in cloud architecture to achieve scalability, reliability, and cost efficiency while maintaining strong security and compliance standards.
- Collaborate with data scientists, engineers, and architecture teams to deploy AI models and integrate them within enterprise systems.
- Use containerization (Docker) and orchestration (Kubernetes) technologies to streamline deployment and scaling of AI applications.
- Explore and integrate emerging technologies such as generative AI, LLMs, and retrieval-augmented generation (RAG) to enhance automation capabilities.
- Provide technical leadership, guidance, and stakeholder engagement throughout project delivery cycles.
What We're Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in AI, ML, or cloud solution engineering.
- Strong background in MLOps tools, principles, and lifecycle management.
- Professional certification in AWS or Azure (AI/ML specialization preferred).
- Proficiency in Python, Java, or C++.
- Familiarity with Terraform or CloudFormation.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
- Exposure to generative and agentic AI frameworks.
- Strong communication, collaboration, and analytical problem-solving skills.
- Candidates must meet U.S. Person eligibility requirements.
Nice to Have
- Master’s degree.
- SAFe DevOps certification.
Technical Stack
- Cloud Platforms: AWS, Azure, GCP
- MLOps: MLOps
- Languages: Python, Java, C++
- Infrastructure as Code: Terraform, CloudFormation
- Containers & Orchestration: Docker, Kubernetes
- AI Technologies: Generative AI, LLMs, RAG
Team & Environment
You will work closely with cross-functional teams including data scientists, engineers, and architecture teams.
Benefits & Compensation
- Salary range: USD $124,000 – $250,000
- Comprehensive health, dental, and vision coverage.
- 401(k) retirement plan with company match.
- Flexible work schedules and remote-first setup.
- Paid parental leave (including paternal) and backup care options.
- Educational assistance and professional development support.
- Achievement awards and recognition programs.
Work Mode
This is a fully remote position open to candidates located anywhere within the United States.
Jobgether is an equal opportunity employer committed to an inclusive work environment.
