Sygnia
AI Solutions Engineer
Skills
15 days ago
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Important information
Contract type:
Permanent
Location:
Tel Aviv-Yafo, Israel
Work mode:
Onsite
Published on:
8 October 2026
What they need
**** Sygnia is the foremost global cyber readiness and response team, applying creative approaches and battle-tested solutions to help organizations beat attackers and stay secure. With a team of deep digital combat, leading- edge, purpose-built technology, and enterprise security specialists, it enables companies to proactively build cyber resilience and defeat attacks within their networks. Sygnia is a trusted advisor and service provider of technology and security teams, executives and boards of leading organizations worldwide. Sygnia supports clients at each stage of their security journey, bringing frontline experience and technological acumen to help them be unstoppable in the face of cyber threats.
The company draws on top talent from the ranks of elite military technology units and from across the cyber industry and has some of the world’s top talents in cyber security. Described by Forbes as a “cyber security delta force”, it applies technological supremacy, digital combat experience, data analytics and a business-driven mindset to cyber security, enabling organizations to excel in the age of cyber.
Cyber threats are constantly growing in volume, velocity and sophistication. When an organization is confronted with an advanced attack, it needs the strongest capabilities on its side. In many cases, an incident response engagement is in fact a battle within a network. The operational art, experience focus and speed of Sygnia response teams can mean the difference between a minor blow and a devastating impact on performance and reputation of organizations.
We are looking for a hands-on AI Solutions Engineer who combines practical AI expertise with strong business applications, integration and automation capabilities. The ideal candidate will be able to identify organizational needs and translate them into scalable AI solutions, including AI agents, agentic workflows and deterministic integrations. They will drive the effective adoption of AI across the company by developing practical solutions that improve processes, productivity, decision-making and overall business impact.
Main Responsibilities:
- Partner with cross-functional teams to identify high-impact AI and automation opportunities.
- Evaluate and select AI models, platforms, and tools (e.g., OpenAI, Claude, Azure AI, AWS Bedrock) based on use case, performance, cost, security, and scalability.
- Design and implement AI solutions combining LLMs, AI agents, and deterministic integrations (e.g., Workato).
- Build and optimize prompts, agentic workflows, and integrations while understanding model limitations and trade-offs.
- Architect scalable integrations across enterprise systems such as NetSuite, HubSpot, Monday.com, and other internal platforms.
- Lead AI initiatives end-to-end, from ideation and prototyping through production rollout and continuous improvement.
- Evaluate emerging AI capabilities and new AI features within existing enterprise platforms.
- Own and communicate the company's internal AI solutions, ensuring alignment with business needs, systems, and broader AI architecture.
Requirements:
Main Requirements:
- 3+ years of experience with business applications and integrations.
- 1+ years of hands-on experience building or implementing AI solutions.
- Strong practical experience with AI platforms such as OpenAI, Claude, Azure Open AI, and AWS Bedrock.
- Hands-on experience with AI development, automation, and integration tools, including Workato or similar iPaaS platforms.
- Strong understanding of prompt engineering, LLM capabilities and limitations.
- Proven ability to take AI solutions from concept and prototype through production.
- Understanding of security best practices, AI safety, responsible AI, and governance.
- Strong problem-solving and solution-oriented mindset, with a focus on practical business outcomes.
- Excellent communication and presentation skills, with the ability to work cross-functionally and translate between business and technical stakeholders.
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