AI Solutions Architect
10Pearls· enterprise· Information Technology And Services· Jul 16, 2025 · 16mo agoPosted 468 days ago
Tyson's Corner, VA
Hybrid
Full-time
Principal
$143K–$219K est.
7+ years exp
Before you apply
Ghost Signal:
Open since July 16, 2025 — 468 days, and still accepting applications.
Job description
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, TensorFlow, 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 production environments, including GenAI, NLP, and computer vision
Strong understanding of the AI solution lifecycle—from business case and requirements gathering to deployment and monitoring
Experience in client-facing roles, global teams, or consulting environments
Strong communicator with the ability to influence both executive and technical stakeholders
Preferred Qualifications:
Master’s or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline
Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate
About 10Pearls:
10Pearls is a global, purpose-driven AI-powered digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. Headquartered in the Washington DC metro area, 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit 10pearls.com .
We offer a competitive compensation package, including the below benefits for full-time employees:
Strong medical, dental, and vision plans with 60% of premiums for employees and their dependents covered by 10Pearls
Employer-funded health reimbursement account (HRA) for the high-deductible health plan option
Generous 401(k) plan with a 4% employer match and immediate vesting after 90 days of employment
Paid time off for vacation, sick/wellness, and personal leave; separate paid parental leave program
Employer-paid short term, long term, life, and AD&D insurance
Additional voluntary insurance programs, including life & AD&D, critical illness, cancer, and hospital indemnity for employees and dependents
Full access to Tysons Corner Headquarters office with amenities: a state-of-the-art gym, fully stocked kitchen with snacks and cold brew coffee on tap, and free parking on-site
10Pearls is an Equal Opportunity Employer and is committed to maintaining a diverse workplace.
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Benefits
Benefits detected in the listing.
Dental
Vision
401(K)
Paid Time Off
Parental Leave
Wellness