AI Solutions Architect
Listed on 2026-03-07
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IT/Tech
AI Engineer, Systems Engineer
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Pearls
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Join to apply for the AI Solutions Architect role at 10
Pearls
About the Role:
We are seeking an experienced AI Solution Architect to design and implement cutting-edge artificial intelligence solutions across a wide range of industries. The ideal candidate will bring deep expertise in generative AI (including, but not limited to GenAI), machine learning, data engineering, and scalable infrastructure, along with a proven ability to lead technical initiatives and influence stakeholders at all levels. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals, shaping the next generation of AI innovation from our Vienna, Virginia headquarters.
About the Role:
We are seeking an experienced AI Solution Architect to design and implement cutting-edge artificial intelligence solutions across a wide range of industries. The ideal candidate will bring deep expertise in generative AI (including, but not limited to GenAI), machine learning, data engineering, and scalable infrastructure, along with a proven ability to lead technical initiatives and influence stakeholders at all levels. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals, shaping the next generation of AI innovation from our Vienna, Virginia headquarters.
Key Responsibilities :
- Solution Architecture & Design:
Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations—with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, Tensor Flow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). - AI Infrastructure & Deployment:
Architect robust and secure AI platforms that support real-time inference, batch processing, and scalable enterprise workloads. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations and responsible AI standards, incorporating governance, observability, and security controls into the architecture. - Strategic AI Leadership:
Act as a technical advisor and thought leader on AI strategy and innovation across the organization. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing, and, where applicable, public engagements or open-source contributions. - Technology Evaluation & Innovation:
Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations to drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions. - Cross-Functional Collaboration:
Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions. Facilitate clear and actionable communication of complex AI concepts, ensuring alignment across technical and non-technical teams. - Client & Stakeholder Engagement:
Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Serve as a trusted advisor in client engagements, articulating solution value and translating business needs into scalable AI-driven architectures.
Required Qualifications :
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML
- Proven success designing and deploying AI solutions in…
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