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Wand Synthesis AI Inc

No-code self-service AI platform for enterprises

Principal Solution Architect - Sales

Full-Time
No salary listed
Senior
Bachelor's, Master's
Remote in USA
RemoteRemote within the United States time zone.
Solution EngineeringPre-Sales Solution Engineering

About the job

Requirements
  • At least 7 years of experience in a customer-facing technical role such as Solution Architect, Enterprise Architect, Solutions Engineer, Sales Engineer, or similar.
  • Strong experience working with enterprise customers in complex software environments.
  • Proven ability to design solution architectures that connect business problems to scalable technical implementations.
  • Strong hands-on technical fluency, including experience with application programming interfaces, integrations, data flows, workflow systems, and enterprise software architectures.
  • Experience with artificial intelligence and machine learning systems, including large language model-based applications, orchestration, retrieval-augmented generation, automation workflows, or adjacent applied artificial intelligence use cases.
  • Demonstrated ability to lead proofs of concept, technical validations, or pilot programs for enterprise customers.
  • Ability to communicate effectively with both senior executives and highly technical stakeholders.
  • Strong judgment in balancing technical ambition with customer reality, delivery feasibility, and commercial context.
  • Experience building reusable frameworks, playbooks, or standards for customer-facing technical teams.
  • A Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
Responsibilities
  • Serve as the primary technical counterpart for strategic enterprise accounts across the customer lifecycle.
  • Lead technical discovery with customers to understand workflows, systems, constraints, data environments, and success criteria.
  • Translate ambiguous business problems into clear solution architectures and implementation approaches.
  • Build credibility with executive and technical stakeholders by articulating how the platform works and where it creates differentiated value.
  • Partner with Sales on strategic deals and with Customer Success on long-term customer success and expansion.
  • Design scalable solution architectures for enterprise deployments using the platform, including workflows, agents, integrations, and governance requirements.
  • Define the technical approach for proofs of concept, pilots, and production rollouts.
  • Ensure solution designs are realistic, robust, measurable, and aligned with customer environments.
  • Work with Solutions Engineers and Engineering teams to guide implementation and resolve design trade-offs.
  • Help customers navigate integration, security, reliability, and operationalization considerations.
  • Define technical proof strategies for enterprise opportunities, including what needs to be validated for a customer to move forward.
  • Establish clear proof-of-concept success criteria and benchmarks for accuracy, latency, coverage, usability, reliability, and business impact.
  • Ensure technical evaluations are structured, credible, and repeatable rather than ad hoc.
  • Support high-priority customer engagements by shaping benchmark methodology, evaluation logic, and demo-to-pilot progression.
  • Help create a consistent proof-to-contract standard across the organization.
  • Help define and evolve the Solutions Engineering playbook, including discovery frameworks, pilot design standards, technical qualification criteria, and customer engagement best practices.
  • Develop reusable assets such as reference architectures, benchmark templates, workflow patterns, and technical validation frameworks.
  • Own and improve the demo lab strategy so demos and prototype environments are believable, reusable, and aligned with real enterprise use cases.
  • Ensure the team has strong technical materials and repeatable methods for demonstrating platform differentiators across industries and use cases.
  • Turn field learning into clear documentation and scalable internal standards.
  • Raise the quality bar across the Solutions Engineering organization through coaching, standard-setting, and technical leadership.
  • Mentor Solutions Engineers and other customer-facing technical team members on architecture quality, customer communication, and technical rigor.
  • Help drive consistency in how the team runs proofs of concept, technical discovery, benchmarks, and demo preparation globally.
  • Identify gaps in tools, process, enablement, and internal documentation, and help close them.
  • Contribute to the long-term operating model of the Solutions organization.
  • Work closely with Product and Engineering to bring field feedback into roadmap discussions, architecture decisions, and platform improvements.
  • Surface recurring implementation patterns and customer requirements that should become product capabilities.
  • Collaborate with Customer Success to support adoption, scale, and technical expansion within strategic accounts.
  • Support internal alignment across Sales, Solutions, Product, and Engineering on what should be sold, how it should be validated, and what good deployment looks like.
Desired Qualifications
  • Experience in artificial intelligence, automation, enterprise software as a service, infrastructure, or data platforms.
  • Experience working in a high-growth startup or scale-up environment.
  • Experience supporting global enterprise accounts across multiple regions.
  • Background in regulated industries such as financial services, insurance, or other complex enterprise environments.
  • Experience building benchmark methodologies, demo environments, or internal technical enablement systems.
  • Prior experience acting as a team lead, guild lead, or functional mentor within a Solutions or Architecture organization.

About the company

Wand.ai is a self-service AI platform for enterprises that lets business users access AI-powered data analytics without coding. It works by using natural language to interact with data and build AI-driven solutions through a user-friendly interface, removing the need for complex setup. The platform likely offers subscription tiers with add-on services like premium support and custom AI model development, providing a recurring revenue model. Wand.ai differentiates itself from competitors by focusing on no-code, natural-language interaction for non-technical business users and scalable, enterprise-grade analytics. The company’s goal is to democratize AI in large organizations, helping them boost productivity and data-driven decision-making across finance, healthcare, retail, and manufacturing.

Company Size

51-200

Company Stage

Series C

Total Funding

$22M

Headquarters

Tel Aviv-Yafo, Israel

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • Wand said in September 2026 it offers Zeroport-enabled air-gapped deployment for critical systems.
  • September 2026 blog updates suggest active product velocity across containment, storage, privacy, and robustness.
  • Headcount reached roughly 191 by June 2026, showing continued scaling after the 2025 acquisition.

What critics are saying

  • Wand's story depends on sovereign-AI spending, leaving it exposed if budgets freeze in 2027.
  • Accern integration and four 2026 layer partnerships create execution risk across a sprawling stack.
  • Microsoft, OpenAI, and Palantir can bundle similar governance and agent platforms faster.

What makes Wand Synthesis AI Inc unique

  • Wand AI bundles sovereign compute, governance, and agents for governments and regulated enterprises.
  • 2025 Accern acquisition adds real-time financial data infrastructure for autonomous workflows.
  • 2026 partnerships with Protopia, VLNO, StorONE, and Zeroport harden sensitive deployments.

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Benefits

  • Hybrid Work Options

Growth & Insights and Company News

6 month growth

2%

1 year growth

-1%

2 year growth

2%
Yahoo Finance
Sep 9th, 2026
WAND AI integrates Zeroport containment layer to enable sovereign AI on air-gapped critical systems

WAND AI has integrated Zeroport's technology into its Sovereign AI platform to enable AI agents to work on air-gapped and critical national infrastructure systems without creating network vulnerabilities. The integration uses Zeroport's hardware-enforced boundary and Moativ guardrail layer. The solution addresses a key challenge as national AI programmes expand from document processing to operational systems like power grids, water infrastructure, defence networks, and core banking. These systems are typically isolated for security, but connecting AI agents traditionally requires creating network access routes that introduce risk. Zeroport reports that roughly two-thirds of cyber-attacks exploit remote access tools and 80% of breaches involve compromised credentials. The new approach allows AI agents to interact with sensitive systems through keystrokes and screen outputs only, similar to human operators, whilst maintaining hardware-level security guardrails that cannot be circumvented by the agents themselves.

PR Newswire
Aug 18th, 2026
Wand AI adds StorONE to cut sovereign AI flash storage costs by up to 90%

Wand AI has integrated StorONE's Real-Time Tiering technology into its sovereign AI infrastructure offering. The partnership aims to improve storage efficiency for national AI programmes by reducing flash storage requirements whilst maintaining performance. StorONE's technology writes data to flash storage initially, then continuously moves inactive blocks to high-capacity media within the same volume. This eliminates the need for restore steps whilst keeping all data immediately accessible. The company reports approximately 90% average flash savings at roughly 10% cost-performance impact. One enterprise customer reduced their footprint from nine cabinets to two, achieving an 80% smaller footprint and 78% reduction in power consumption. The storage efficiency layer complements Wand's existing sovereign AI capabilities, which include inference privacy and confidential computing. The joint reference architecture is now available for sovereign programmes and enterprises.

PR Newswire
Aug 12th, 2026
Wand AI integrates VLNO's robustness tech to secure sovereign open-weight AI models

Wand AI has integrated VLNO's model robustness technology into its sovereign AI platform, enabling governments and regulated enterprises to deploy open-weight models on their own infrastructure with certified security. VLNO continuously tests customer models against adversarial attacks and generates training data to strengthen them, with protections incorporated directly into the model weights. The integration addresses a key barrier to production deployment of open-weight models, which often lack standardised safety evaluations and proven adversarial robustness. Before models enter Wand's Open Model Registry, VLNO benchmarks them against adaptive attacks. Models failing to meet robustness thresholds receive adversarial training data that customers can incorporate into their fine-tuning pipelines. The joint reference architecture is now available for sovereign programmes and regulated enterprises. Wand AI, founded in 2023 and headquartered in Palo Alto, provides sovereign AI infrastructure for deploying AI agents.

Associated Press
Jul 21st, 2026
Wand AI and Protopia AI enable sovereign governments to run sensitive AI workloads on shared infrastructure without exposing plaintext data

Wand AI and Protopia AI have partnered to deliver sovereign AI infrastructure that allows governments to run sensitive workloads on shared computing resources without exposing data. The collaboration combines Wand's operating system for hybrid human-AI workforces with Protopia AI's Stained Glass Transform privacy technology. The solution addresses a critical national security challenge: currently, different government ministries and agencies must maintain separate infrastructure for sensitive data, resulting in massive underutilisation of computing resources. Protopia's technology converts sensitive inputs into protected representations at the trust boundary, allowing multiple agencies to share one sovereign backend whilst keeping their data secure. The joint architecture aims to increase national compute utilisation from roughly 25% to over 80%, reducing costs for participating organisations. The solution is available now to sovereign programmes and enterprises. Founded in 2023, Wand AI is headquartered in Palo Alto. Protopia AI is based in Austin, Texas.

Protopia AI
Jul 20th, 2026
Wand AI and Protopia AI partner to power sovereign AI on shared, secure, high-utilization backend.

Wand AI and Protopia AI partner to power sovereign AI on shared, secure, high-utilization backend. Wand AI's agentic workforce operating system paired with Protopia AI's Stained Glass inference privacy layer. Every ministry and agency in a nation can run sensitive workloads on a single sovereign AI back end, with plaintext never leaving the trust boundary. Wand AI and Protopia AI today announced a partnership to deliver sovereign AI at national scale. The collaboration combines Wand's operating system for the hybrid human and AI workforce with Protopia AI's inference privacy layer, enabling a government or enterprise to run its most sensitive workloads across one shared sovereign backend at full utilization, without exposing data to the infrastructure operator or to other tenants. Real sovereignty requires the entire AI stack to run on sovereign soil and sensitive data. The agentic layer can be sovereign, but the moment an agent sends that sensitive data to a model, that data is exposed in plaintext across the entire serving environment: logs, caches, GPU memory, traces, and runtime infrastructure. That creates a hard national-security problem. Secrets from different ministries, agencies, banks, and critical infrastructure operators cannot safely share the same backend, so the default today is fragmentation, a separate infrastructure stack for each data owner. The result is massive waste: national compute investments sit underutilized because every sensitive workload requires its own isolated environment. At country scale, this "isolation tax" can reach tens of billions in infrastructure spend over time. The alternative is worse: data that is sovereign in name, but not sovereign in fact. The Wand and Protopia AI partnership removes that tradeoff. Wand provides the sovereign agentic stack: country-level governance, a hybrid human and AI operating system, certified AI labor, and autonomous agents, attached to the sovereign compute base. Protopia AI provides the inference privacy layer. Its Stained Glass Transform(TM)(SGT), applied by the SafeCLAW subagent at the trust boundary, converts sensitive inputs into protected representations, so only the protected form ever crosses into the model and compute layers, with no decoder on the host and accuracy parity to plaintext. Because plaintext never leaves the trust boundary, every data owner can share one sovereign backend without exposing data to the operator or to one another. Too often, sovereign AI programs have had to fragment their agentic infrastructure into dedicated stacks whenever sensitive data enters the workflow. Wand and Protopia AI remove that constraint. Protopia Stained Glass keeps plaintext inside each data owner's trust boundary, so ministries and agencies can run their highest-value agentic workloads on one governed sovereign backend and make full use of the compute already in place.