Custom Software Systems (CSS) Inc. is seeking a Senior AI Cloud Engineer to lead the development and deployment of next-generation AI and analytics solutions. This role will drive innovation through Generative AI techniques, advanced AWS AI and data services, and modern DevSecOps practices. The ideal candidate brings deep technical expertise, a proven record of building scalable, secure cloud infrastructures, and the ability to translate complex business needs into actionable AI-driven insights. This is an opportunity to shape transformative solutions, mentor teams, and champion the adoption of cutting-edge technologies across the organization.
Responsibilities
- Contributions to open-source AI projects or communities
- 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 bootcamps and cross-training workshops for internal collaborators and customers.
Required Qualifications
- At least ten (10+) or more years of experience.
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent work experience.
Clearance N/ACitizenship US CitizenKnowledge, Skills & Abilities
- 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 HuggingFace
- Knowledge of deep learning frameworks such as PyTorch and Transformer qualification.
Certifications Certifications in AWS AI or Machine LearningCompensation & BenefitsWage Range: NegotiableGeneral Benefits: Custom Software Systems, Inc. offers our employees a competitive benefits package that may include:
- Health insurance plans
- Health Savings Account (HSA)
- Dental
- Vision
- Long-term disability
- Short-term disability
- Basic term life insurance
- Supplemental term life insurance for employees, spouses, and dependents
- Simple IRA
- Parking/Commuting expense reimbursement
- Training/Education
