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All open positions

All open positions

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AI Solutions Architect

Dec 19, 2025

Engineering

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Full-time

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Northern Virginia (Washington, DC metro area)

AI Solutions Architect

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About RootLogic Systems

RootLogic Systems is an innovation-driven business and technology company focused on reimagining how organizations transform their processes, systems, and experiences. We empower enterprises and government agencies to make transformation real by designing, building, and delivering intelligent solutions that combine human insight and agentic AI to drive meaningful, measurable impact. 

We work from first principles, breaking down complex challenges to their root causes, and apply systems thinking to create purposeful, cost-effective solutions. As problem solvers and co-creators, we collaborate deeply with customers and partners to ensure innovation is not only possible, but practical and scalable in real-world environments.

Purpose of the Position

To lead the discovery, design, and delivery of AI-powered solutions that transform enterprise and government processes and drive measurable business outcomes. The Director of AI Solutions will translate market needs into competitive, production-ready solutions through hands-on application of deep technical expertise across data, analytics, and AI architectures. This role is critical to RootLogic’s mission, helping make AI-driven transformation real through product-led innovation, practical, scalable delivery, and support for solution growth and monetization. 

Location

Northern Virginia (Washington, DC metro area)

Candidates must reside in the Washington, DC metro area to support in-person collaboration as needed, with a preference for those based in Northern Virginia. As RootLogic Systems establishes a physical workspace and scales operations, key team members may be expected to work in person up to four days per week.

Travel

Occasional travel is expected for in-person collaboration, business development, and client engagements, including visits to government agencies, partner sites, industry events, and enterprise customer locations, based on project needs and engagement priorities.

Type of Employment

Full time

Position Type

Exempt

Key Result Areas and Activities

1. Provide solution thought leadership to shape market-relevant AI offerings 

  • Lead solution discovery efforts to identify high-impact opportunities across enterprise and government domains 

  • Diagnose complex business and mission challenges to define differentiated, AI-driven solution approaches 

  • Communicate persuasively through clear narratives, reference architectures, and value propositions to drive stakeholder alignment and adoption 

  • Contribute solution insight to product strategy, roadmaps, and investment decisions based on delivery experience and market feedback 

2. Design and architect AI-powered solutions for real-world operational use 

  • Hands-on design of end-to-end AI solutions spanning data ingestion, analytics, AI/ML, and application layers, with attention to performance and cost efficiency 

  • Architect cloud-native, scalable, and secure solution designs aligned with enterprise and Federal operational and budgetary requirements 

  • Design solution architectures that support transactional, analytical, and AI-driven workflows in production environments while balancing cost, scalability, and reliability 

  • Define data models, integration patterns, and AI orchestration approaches that enable reliable, maintainable, and cost-effective operations 

3. Deliver enterprise-grade AI solutions with quality, explainability, and trust 

  • Deliver AI-powered solutions that meet enterprise-grade standards for security, performance, explainability, and usability 

  • Implement CI/CD, automation, and operational practices (including monitoring and AIOps where appropriate) to support reliable and scalable solution delivery 

  • Implement solutions that support auditability, governance, and trust requirements in regulated and Federal environments 

  • Develop reusable solution patterns and implementation guidance proven through delivery to enable consistent quality and customer success 

4. Support presales and solution shaping for customer acquisition and revenue growth

  • Collaborate with product, engineering, and customer success teams to align solution approaches with customer and market needs 

  • Support presales engagements through hands-on solution architecture, technical demos, and proof-of-value development 

  • Contribute technical input to proposals, statements of work, and delivery estimates to support accurate scoping and pricing 

  • Participate in customer workshops and discovery sessions to shape solution scope, delivery approach, and success criteria 

5. Research, experiment, and prototype emerging approaches for competitive AI solutions 

  • Research emerging AI, data, and analytics technologies to identify approaches relevant to RootLogic’s solution domains 

  • Build rapid prototypes and proof-of-concepts to validate feasibility, performance, cost, and business value 

  • Apply AI productivity tools, automation, and hyper-engineering techniques to accelerate experimentation and solution delivery 

  • Translate experimental learnings into actionable solution patterns, guidance, and inputs for delivery and product teams 

6. Support ecosystem partnerships and solution assets for innovation and scalable growth 

  • Support technical collaboration and relationship-building with cloud providers, platform vendors, and solution partners to inform product-led solution innovation and roadmap priorities 

  • Leverage partner programs, training, certifications, and marketplace requirements to accelerate solution readiness, credibility, and scalable distribution 

  • Build and package reusable solution assets, accelerators, and reference implementations aligned with partner marketplaces to enable repeatable deployment and adoption 

  • Identify and shape client expansion and growth opportunities by applying ecosystem capabilities and solution assets across customer engagements 

Work and Technical Experience

  • Experience leading end-to-end solution delivery, from architecture and design through hands-on implementation, deployment, and operational support 

  • Experience designing and delivering cloud-based solutions using one or more major cloud platforms (AWS, Azure, or GCP), with an understanding of scalability, security, and cost considerations 

  • Experience working with one or more modern data and analytics platforms such as Databricks, Snowflake, Starburst, or with comparable cloud-native data and analytics services (e.g., Azure Fabric, AWS analytics and ML services), including data ingestion, transformation, and analytics enablement 

  • Hands-on experience with Python-based data and analytics engineering, including use of Apache Spark or equivalent distributed processing frameworks, and experience with generative and discriminative AI approaches, integrating AI capabilities into data pipelines, applications, and enterprise workflows 

  • Exposure to business intelligence and reporting platforms such as Power BI, Tableau, MicroStrategy, Looker, or Amazon Quick Sight, supporting executive and operational analytics use cases 

  • Experience with at least one modern agentic AI or multi-agent orchestration platform such as Amazon Bedrock Agents / AgentCore, Azure AI Foundry Agents, or Google Vertex AI Agent Builder, or equivalent frameworks, including patterns for building and operating autonomous AI agents in enterprise workflows 

  • Exposure to modern database technologies, including vector and graph databases, and an understanding of how they are used to support retrieval, knowledge representation, and AI-driven applications. 

  • Experience supporting presales and client-facing solution activities, including technical discovery, solution validation, demonstrations, and delivery scoping, with an understanding of enterprise and public-sector security, governance, compliance, and operational constraints in regulated environments 

  • Experience with grants, contracts or performance domains is a plus 

Qualifications

  • U.S. Citizenship may be required for certain client engagements based on contractual requirements. 

  • Bachelor’s degree in computer science, engineering, or a related technical field; Master’s degree preferred 

  • 10–14 years of combined experience across solution architecture, data & analytics engineering, and AI-enabled solution delivery, demonstrating full-stack exposure across the data and analytics lifecycle 

  • Demonstrated past performance delivering at least one large-scale, enterprise-grade data and analytics solution, including responsibility for architecture, implementation, and operational readiness 

  • Demonstrated ability to learn quickly and apply new concepts related to AI, technology, and business transformation in a fast-paced, evolving environment 

Qualities

  • Mission-driven and energized by the opportunity to deliver AI-powered solutions from the ground up 

  • Comfortable shifting between strategic visioning and hands-on execution to meet evolving business needs 

  • Self-motivated and focused on delivering outcomes in a dynamic, early-stage environment 

  • Able to work in a self-organized, cross-functional team and collaborate across disciplines 

  • Strong communicator who can consult, write, and present persuasively to technical and non-technical stakeholders 

  • Receptive to feedback, peer review, and iteration based on new information and evolving project needs 

  • Able to work effectively with teams and clients across different time zones and organizational boundaries 

  • Thinks from first principles and applies structured problem-solving to complex product, technical, and business challenges 

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