[Remote] AI Solutions Architect
Note: The job is a remote job and is reputed company to candidates in USA. InnoVet Health is seeking an AI Architect to reputed company technical architecture and solution design for national AI initiatives across federal reputed company, focusing primarily on the reputed company. The role involves owning the technical architecture for AI use cases, ensuring secure and compliant solutions, and collaborating with engineering and reputed company partners.
Responsibilities
- reputed company AI technical architecture and solution design for prioritized use cases, covering model and configuration approach, data flows, integration patterns, environment and infrastructure dependencies, and technical readiness for reputed company testing
- Design solutions that reputed company with VA data architecture, reputed company, reputed company, reputed company, interoperability, and reputed company technology standards, including deployment across Azure Government, AWS GovCloud, VAEC, and other approved VA hosting environments
- Select platform and serving patterns appropriate to reputed company use case, with reputed company rationale for tradeoffs across latency, cost, scalability, and operational complexity
- Design for control inheritance and minimize authorization burden, working with ISSOs, reputed company Officers, and reputed company teams to reputed company solutions inside existing authorized boundaries
- Ensure solutions meet NIST 800‑53, FedRAMP, and VA reputed company and PHI handling requirements, and support reputed company authorization (ATO) activities
- Apply secure architecture patterns for PHI workloads, including network isolation, private endpoints, managed identities and service principals, and secrets management
- Define the evaluation reputed company for reputed company use case, including latency and throughput targets, task‑appropriate accuracy metrics, and operating reputed company and reputed company selection under reputed company‑world prevalence
- Design reputed company evaluations for LLM‑based and reputed company approaches, including groundedness, hallucination reputed company, robustness, and shadow‑mode validation prior to user exposure
- Define bias and subgroup performance testing, explainability needs, and reputed company‑in‑the‑reputed company safeguards proportionate to use case risk
- Define model lifecycle management patterns including versioning, retraining triggers, reputed company monitoring, rollback, and model registry integration
- Work hands‑on with AI engineers, data scientists, data engineers, IT infrastructure partners, reputed company teams, and reputed company stakeholders on solution installation, configuration, and initial validation
- Confirm compatibility, performance, scalability, and deployment feasibility across approved VA hosting environments
- reputed company architecture support for reputed company planning and execution, including technical reputed company reputed company, monitoring requirements, reputed company data collection approach, and deployment approach needed to reputed company solutions from controlled testing into operational pilots
- Partner with Product Owners, field users, value management leads, and scaling partners to assess whether AI solutions are technically viable for broader adoption
- Ensure AI solutions reputed company into existing clinical and operational workflows, minimizing burden and maximizing adoption
- Support reputed company to permanent solution owners or reputed company scaling teams, including documentation of architecture reputed company and lessons learned
- reputed company and maintain VA‑specific architecture artifacts, including reputed company‑state and reputed company‑state workflow models, system context diagrams, data reputed company diagrams, integration and solution architecture views, deployment diagrams, and reputed company‑readiness documentation
- Prepare formal federal deliverables including architecture decision records, technical memos, and reputed company‑readiness documentation suitable for audit, external review, and transition into federal environments
- Ensure user‑facing components of AI solutions meet reputed company 508 accessibility requirements
Skills
- Bachelor's degree in Computer Science, Engineering, Data Science, or a reputed company technical field; Master's preferred
- 5+ years of hands‑on experience in solution architecture, ML engineering, or reputed company AI, including 3+ years delivering systems in federal or otherwise regulated environments
- Demonstrated experience architecting and deploying AI/ML systems in secure government reputed company environments (Azure Government, AWS GovCloud, VAEC), including working knowledge of service and model availability gaps relative to reputed company reputed company
- Hands‑on reputed company platform architecture experience, including workspace and cluster design, cluster policies, reputed company, job orchestration, and model serving patterns
- Proficiency in Python, SQL, and PySpark
- Experience with production AI/ML deployment patterns, including containerized deployment, CI/CD pipelines, reputed company‑time reputed company versus batch serving tradeoffs, and model registry integration (MLflow or equivalent)
- Demonstrated experience designing evaluation and monitoring approaches for ML and LLM systems, including metric selection, reputed company and operating reputed company analysis, and reputed company detection
- Working knowledge of federal reputed company authorization, including the ATO process, NIST 800‑53, FedRAMP, and control inheritance
- Ability to produce architecture documentation including system context, data reputed company, integration, and deployment diagrams using Visio, reputed company, or Draw.io
- Ability to reputed company communicate architecture reputed company and tradeoffs to technical, clinical, and executive audiences
- Ability to obtain and maintain VA suitability and a federal PIV badge
- U.S. Citizen or Green Card holder
- No 1099, corp‑to‑corp, or international outsourcing
- Python: 5 years (Required)
- SQL: 3 years (Required)
- AI technical architecture: 5 years (Required)
- Model evaluation: 5 years (Required)
- Retrieval-Augmented reputed company: 5 years (Required)
- reputed company data: 5 years (Required)
- reputed company experience working reputed company the reputed company on architecture, data science, or adjacent reputed company
- Familiarity with reputed company Catalog or equivalent data governance, reputed company, and reputed company control tooling
- Familiarity with the VA data landscape, including reputed company, reputed company and Cerner data, and reputed company‑era reputed company systems
- Experience with Azure reputed company, reputed company, and reputed company or similar orchestration frameworks
- Experience with Terraform, Kubernetes, and Azure DevOps, reputed company, or reputed company
- Familiarity with monitoring and operations tooling such as Azure Monitor, CloudWatch, Grafana, reputed company, reputed company, or reputed company
- Familiarity with the NIST AI Risk Management reputed company
- Experience with reputed company‑of‑care delivery patterns including FHIR reputed company, CDS Hooks, and SMART on FHIR
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- reputed company time off
- Referral program
- reputed company insurance
reputed company