AI Application Architect
- Chantilly, VA
- Permanent
- Full-time
- Implement creative and innovative solutions with significant industry-wide impact.
- Analyze customer missions and business needs to ensure solutions meet objectives using Oracle Cloud Infrastructure best practices, product knowledge, and business acumen.
- Recommend enhancements to meet highly complex customer needs.
- Lead the design and implementation of scalable cloud infrastructure for large-scale AI/ML management applications.
- Design and implement a scalable, cloud-hosted data platform supporting complex organizations with strict access control and governance.
- Ensure interoperability with multiple cloud providers, open-source software, GOTS, COTS technologies, and AI/ML models, supporting a Zero Trust Architecture (ZTA).
- Monitor and optimize costs versus performance tradeoffs, enabling secure data product creation, sharing, and reuse within established data policies.
- Collaborate with development and data science teams to ensure infrastructure supports the solution lifecycle, including continuous integration and deployment.
- Facilitate the transition to hybid on-premise/cloud architecture.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related technical area
- Minimum of 12 (10 with Master's) years of experience in software or system architecture and design.
- Minimum of 4 years of consulting management experience with financial management responsibility.
- Management Experience: Direct Line Management experience required (including project, people, customer, and financial management).
- Proven track record of developing and managing AI/ML systems and deploying into production environments.
- Familiarity with machine learning and generative AI, object-oriented programming languages, cybersecurity, and relational databases.
- Knowledge and experience working with federal compliance and guidance, such as FISMA, RMF, Federal Enterprise Architecture Framework, DoDAF, NIST Cybersecurity Framework, NIST 800 series, FedRAMP and cloud-based security controls.
- Experience with architectures supporting full Software Development Life Cycle (SDLC) and/or Machine Learning Operations (MLOps)
- Strong oral and written communication skills, including client-facing discussions and presentations.
- Proficiency in architecting and designing cloud environments and infrastructure. Must understand the tradeoffs when choosing services and approaches to system design.
- Master's degree in a related field.
- Proficient at managing managers and large team.
- Experience developing and deploying large AI/ML systems.
- Experience with data fabrics and big data platforms.
- Must possess a current and active TS/SCI with poly
- The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.