Senior AI Cloud Engineer

Ampcus, Inc; Washington (District of Columbia); On-site; USD 130,000 - 170,000; Full time

Job summary

A technology consulting firm is seeking a Senior AI Cloud Engineer in Washington, DC. The role involves building an AI & analytics framework, leveraging AWS services to address business challenges, and leading multi-functional teams. Candidates should have a bachelor’s or master’s degree in Computer Science or a related field, strong proficiency in Generative AI and AWS data services, along with ten years of relevant experience. The position offers opportunities to collaborate and innovate in a dynamic environment.

Qualifications

• At least ten years of experience in relevant functions.
• Proven experience with AWS AI and data services.
• Hands-on experience with DevSecOps and CI/CD practices.

Responsibilities

• Builds AI and analytics framework using core technologies.
• Leverage AWS AI services for solution development.
• Collaborates to turn data into insights.
• Leads teams for cloud-based data solutions.

Skills

Generative AI techniques

Proficiency in Python

Proficiency in Java

Problem-solving skills

Team collaboration

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or Machine Learning

Tools

Terraform

Docker

Kubernetes

GitLab

PyTorch

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Senior AI Cloud Engineer Locations: Washington, DC

Responsibilities

• Builds next-generation AI & analytics framework developed on a group of core technologies.
• Utilize Generative AI techniques to create innovative solutions for business challenges.
• AWS AI Services: Leverage AWS AI services like Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe to accelerate AI development and deployment.
• Lead multi-functional teams in designing and implementing cloud-based data and AI solutions.
• Ensure data pipelines are scalable, secure, and repeatable.
• AWS Data Services: Utilize AWS data services like Amazon S3, Amazon Redshift, and Amazon DynamoDB to store, manage, and process large-scale datasets.
• Collaborate with stakeholders to understand business requirements and turn data into insights.
• Develop and maintain cloud infrastructure, including data lakes, warehouses, and analytics platforms.
• Implement data governance and security best practices.
• DevSecOps: Contribute to a DevSecOps culture by adhering to standard methodologies for secure software development and deployment.
• CI/CD: Automate AI model development, testing, and deployment using CI/CD pipelines.
• Acts as an inspiring leader, with an outstanding perspective, and promotes the adoption of new software and technology across the company.
• Works on multiple projects as a technical team member driving business requirements end to end.
• Takes end to end accountability of all data products and solutions.
• Conducts training boot camps and cross-training workshops for internal collaborators and customers.

Education

• At least ten or more years of experience performing the functions associated with this labor category.

Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent work experience.
• Proven experience in Generative AI, data engineering, AWS AI, and AWS data services.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with data engineering concepts and tools.
• Experience in Terraform, Dockers, Kubernetes, and/or Gitlab.
• Understanding of data governance and security principles.
• Hands‑on experience with DevSecOps and CI/CD practices.
• Excellent problem‑solving and analytical skills.
• Ability to work independently and as part of a team.
• Familiarity with government cloud deployment regulations/compliance policies such as FedRAMP, FISMA, etc.
• Experience with specific generative AI models like GPT, Llama, Claude, and others from Hugging Face.
• Knowledge of deep learning frameworks such as PyTorch and Transformer.
• Contributions to open‑source AI projects or communities.
• Certifications in AWS AI or machine learning

Certifications

• Certifications in AWS AI or Machine Learning

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.