SAIC is seeking a Solutions Architect AI/ML to support product teams in migrating, modernizing, automating, and innovating their applications using emerging technologies in cloud-native environments. The role aims to drive business value and strategic insights through deep technical expertise in architecting, designing, developing, and engineering complex projects.
Requirements
- Programming Languages Python, R, SQL.
- AI, ML, NLP Frameworks, models, and tools.
- Machine Learning & Statistical Tools PyTorch.
- Data Manipulation & Analysis.
- Visualization Tools Tableau, Power BI.
- Big Data & Cloud Platforms Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP.
- Version Control & Collaboration Git, Docker.
Responsibilities
- Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
- Develop end-to-end plans for AI/ML/NLP innovations that are compliant with USPTO cybersecurity policies and Zero-Trust Architecture.
- Architect, Develop, Build and Deploy pilots, prototypes, and proof of concept solutions to validate potential cloud-native solutions for emerging technology, modernization, and innovation opportunities across major cloud CSPs (AWS, Azure, GCP).
- Develop, Build, and deploy automation, CI/CD pipelines, scripts, and infrastructure from the ground up using Infrastructure as Code - IaC (tools such as Terraform, CloudFormation).
- Experience with containerization (Docker, Kubernetes) and serverless architectures.
- Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications.
- Design and implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
Other
- Masters' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum 10 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.
- Proven track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
- Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations.
- Candidates must have lived in the United States for the last 2 years.
