Sr. Solutions Architect
Role details
Job location
Tech stack
Job description
We're seeking an experienced Solutions Architect to design and implement mission-critical AI/ML and cloud-native systems for our client. You'll architect secure, scalable solutions that integrate advanced analytics, artificial intelligence, and cloud technologies to support national security objectives in highly classified environments., * Lead AI Integration & Innovation: Lead integration of machine learning models, generative AI applications, and advanced analytics into production systems
- Bridge Mission Requirements & Technology: Collaborate with government stakeholders, program managers, and technical teams to translate mission requirements into architectural solutions
- Secure The Stack: Implement solutions in GovCloud ecosystems ensuring compliance with federal security controls and classified data handling requirements
- Mentor and Elevate: Provide hands-on technical leadership, mentoring development teams, and driving best practices in AI/ML engineering and cloud architecture
Requirements
- 8+ years of experience in solutions architecture, cloud engineering, or related roles
- 3+ years specifically in AI/ML solutions architecture, data engineering, or advanced analytics
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
- Professional cloud certifications (AWS Solutions Architect, Azure Solutions Architect, or equivalent)
Cloud Proficiency
- Hands-on experience with GovCloud ecosystems: AWS Secret Region, Azure Government, or equivalent cloud environments
- Cloud-native architectures: microservices, containerization (Kubernetes), serverless, service mesh
- Infrastructure-as-code and GitOps practices (Terraform, CloudFormation, Ansible)
- DevSecOps pipelines and continuous integration/deployment in secure environments
AI/ML & Programming Skills
- Programming proficiency in Python, Java, or Go for AI/ML application development
- Experience with ML frameworks and platforms (TensorFlow, PyTorch, Azure ML)
- Data engineering pipelines and analytics platforms (Spark, Databricks, AWS EMR)
- Model deployment, monitoring, and MLOps practices
Systems & Security
- Linux and Windows systems administration and hardening
- Federal security frameworks: NIST 800-53, FedRAMP, FISMA, RMF
- Zero-trust architectures and secure data handling for classified environments
- Networking: VPCs, secure connectivity, hybrid cloud architectures
Benefits & conditions
Tuition reimbursement, 401(k), Health insurance, 401(k) matching, Paid time off, Employee discount, Health savings account, * 401(k)
- 401(k) matching
- Employee discount
- Health insurance
- Health savings account
- Paid time off
- Tuition reimbursement