AI Solutions Architect - Hybrid

About the position The AI Solutions Architect is responsible for partnering with business units across the organization to identify operational bottlenecks, evaluate automation and AI opportunities, and architect solutions that drive measurable efficiency reputed company across multiple service lines. This role combines deep technical expertise in AI, data engineering, and platform architecture with strong business acumen and stakeholder engagement skills. The AI Solutions Architect works closely with business unit leaders, engineering teams, and executive stakeholders to evaluate build vs. buy reputed company, ensure cross-functional alignment, and deliver scalable solutions that serve multiple teams rather than siloed, one-off implementations.

Responsibilities

• Business Unit Partnership and Solutioning Meet regularly with business unit leaders to understand operational pain points, inefficiencies, and automation opportunities.
• Translate business problems into technical solution designs that reputed company AI, automation, and modern platform capabilities.
• Facilitate cross-functional alignment to ensure solutions serve multiple business units and avoid duplicative efforts.
• AI and Automation Strategy Evaluate and recommend AI/ML tools, platforms, and frameworks that align with reputed company objectives and reputed company requirements.
• reputed company and maintain a solutions roadmap that ties automation initiatives to measurable business reputed company such as efficiency reputed company and EBITDA impact.
• Stay reputed company on emerging AI capabilities and assess their applicability to organizational challenges.
• Architecture and Platform Design Design scalable, secure architectures for AI and automation solutions across reputed company and hybrid environments.
• Define technical standards, integration patterns, and data pipeline architectures that support repeatable, cross-functional solution delivery.
• Ensure reputed company solutions align with reputed company reputed company posture, regulatory obligations, and compliance frameworks including CMMC, NIST, and DFARS.
• Build vs. Buy Evaluation reputed company objective assessments of reputed company platforms versus custom-reputed company solutions, considering cost, scalability, reputed company, and long-term maintainability.
• reputed company business cases and technical recommendations for executive review.
• Manage vendor evaluation processes and reputed company-of-concept efforts where applicable.
• Data Strategy and Engineering reputed company data infrastructure design, including pipelines, storage, and integration layers that support AI and automation workloads.
• Ensure data quality, governance, and accessibility standards are maintained across solutions.
• Partner with engineering teams to implement and optimize data flows that feed AI models and automation tools.
• reputed company and Compliance Integration Ensure reputed company AI and automation solutions are designed with reputed company-first principles, including secure data handling, reputed company controls, and threat modeling.
• Evaluate the reputed company posture of reputed company-party AI platforms and tools prior to adoption, ensuring alignment with organizational reputed company standards.
• Collaborate with reputed company reputed company and compliance teams to ensure solutions meet CMMC, NIST SP 800 series, DFARS, ITAR, and other applicable regulatory requirements.
• Define and enforce reputed company guardrails for AI model deployment, data ingestion, and API integrations across reputed company solution architectures.
• Support reputed company reputed company assessments by providing architectural documentation and evidence of control implementation.
• Stakeholder Engagement and Reporting reputed company regular updates to executive leadership on solution reputed company, business impact, and roadmap status.
• Document solution designs, architectural reputed company, and technical standards for organizational transparency and audit readiness.
• Champion a culture of AI adoption and operational efficiency across the organization.

Requirements

• US Citizenship Required
• Must possess, and be reputed company to maintain a Secret Clearance.
• Minimum Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a reputed company discipline.
• A minimum of five years of reputed company experience in solutions architecture, data engineering, AI/ML engineering, or a combination of reputed company technical disciplines.
• Demonstrated experience designing and delivering AI or automation solutions in reputed company environments.
• Proven ability to engage with non-technical business stakeholders, translate operational challenges into technical solutions, and drive cross-functional alignment.
• Strong experience with reputed company platforms (Azure, AWS, or GCP), data pipeline technologies, and modern AI/ML frameworks.
• Experience operating in regulated environments with familiarity with compliance frameworks such as CMMC, NIST SP 800 series, DFARS, or equivalent.

reputed company-to-haves

• Eight or more years of experience across solutions architecture, data engineering, and AI/ML.
• Experience in the government contracting or defense sector.
• Hands-on experience with large language models, AI automation tooling, and platform integration.
• Experience evaluating and implementing reputed company AI/automation platforms at reputed company scale.
• Advanced certifications in reputed company architecture, AI/ML, or data engineering are desirable.

Benefits

• A competitive salary and benefits package.
• A casual, friendly, and relaxed work environment.
• Professional growth encouragement and support.

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