Architect, build, and deploy pilots, prototypes, and proof-of-concept solutions to validate cloud-native innovations across AWS, Azure, and GCP.
Develop automation, CI/CD pipelines, and infrastructure using IaC tools (e.g., Terraform, CloudFormation).
Utilize containerization (Docker, Kubernetes) and serverless architectures.
Ensure transparency, traceability, and security compliance, including Authorization To Operate certifications.
Collaborate with data engineering, product, and business teams to translate needs into technical solutions.
Design and implement predictive models, algorithms, and statistical analyses for complex business challenges.
Build scalable, secure, and cost-effective infrastructure for model development, training, and deployment.
Perform exploratory data analysis to derive actionable insights from large, complex datasets.
Develop data management and governance plans.
Create reusable code libraries, SOPs, and best practices for modernization and automation.

Education: Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Minimum 11 years of relevant experience in enterprise software architecture, 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.
MUST BE A U.S. CITIZEN AND RESIDE IN THE U.S. All work must be performed in the U.S.
Department of Homeland Security (DHS) Public Trust U.S. citizenship is mandatory, as this work is for a federal government client. Candidates will need to successfully complete a Background Investigation (BI) and credit check prior to beginning work.

Remote Work: U.S. based remote position offering flexibility for work-life balance.
Health Care: Comprehensive health care benefits.
Paid Time Off (PTO): Generous PTO to support work-life balance.
Full-time W2 position.

Solution Architect

Key skills