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Impyrian · 2 months ago

AI/Data Solutions Architect

Ashburn, VA

Full-time

Onsite

Senior Level

$136K/yr - $175K/yr

7+ years exp

Impyrian is seeking a Solutions Architect with a primary focus on AI/Data solutions and enterprise-scale implementations. The role involves developing data architectures, collaborating with stakeholders, and ensuring alignment with the company’s long-term data and AI vision.

ConstructionCyber SecurityIndustrial EngineeringInformation TechnologySoftware

No H1B

U.S. Citizen Only

Responsibilities

Develop end-to-end data and AI architectures, including data pipelines, ML platforms, integration patterns, and cloud-native solutions

Define and maintain architectural standards, frameworks, and best practices across projects and enterprise initiatives

Evaluate emerging AI, data, and automation technologies to guide strategic adoption

Present and defend architectural designs to a diverse audience

Collaborate with business and executive stakeholders to translate strategic goals into executable architectural roadmaps

Ensure consistency and alignment between project-specific solutions and company-wide data/AI strategies

Build scalable governance models that support growth, compliance, and innovation

Review mission challenges and provide solutions that are aligned with current or emerging architecture, as well as having the ability to recommend the best fit architecture if one is not established

Serve as a trusted advisor to product, engineering, analytics, and operations teams

Communicate complex concepts in approachable ways to both technical and non-technical audiences

Lead architectural reviews, workshops, and discovery sessions to drive clarity and alignment

Enable team understanding of complex concepts, promote learning, and inspire high performing teams

Support project teams with hands-on technical oversight, solution validation, and architectural decision-making

Partner with PMO, engineering leads, and business owners to ensure successful design-to-delivery execution

Identify risks, dependencies, and opportunities early to ensure predictable outcomes

Qualification

Data architectureAI/ML engineeringCloud platformsLarge-scale data pipelinesEnterprise AI adoptionArchitectural standardsMLOps toolsStakeholder engagementNetworking skillsAgile project experienceCertificationsCommunicationTeam collaborationProblem-solving