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AI & Software Engineer - AI Data Platforms

Elbit Systems

Where
IsraelThe listing doesn't say if it's on-site, hybrid or remote.
Language, from the listing
No Hebrew mentionedA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
Dates
Posted 18 Oct 2026
Last checked on the employer's site
2 h ago (28 Oct 2026)
Source
Employer career site

What they ask for

  • B.Sc. or M.Sc. in Computer Science, Software Engineering, or related field, or equivalent experience from elite IDF tech units
  • At least 3 years of experience developing production-grade software systems
  • Strong development experience in Python and Linux environments
  • Hands-on experience with Generative AI technologies including LLMs, AI agents, multi-agent systems, RAG, MCP, context engineering, knowledge graphs, and agent orchestration
  • Hands-on experience with vector databases, semantic search, and large-scale RAG architectures
  • Proficiency with cloud and on-prem deployments
  • Proven technical leadership or lead engineer experience including planning, milestones, and delivery
  • Excellent collaboration, problem-solving, and communication skills across multidisciplinary teams and organizational interfaces
  • Only relevant applications will be answered
  • #Haifa

Nice to have

  • Experience designing and building enterprise-scale data platforms, pipelines, and data layers – Advantage
  • Experience with enterprise search, knowledge management, knowledge graphs, or semantic retrieval systems – Advantage
  • Experience with AI agent platforms and orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar – Advantage
  • Familiarity with data governance, data quality, and data security in enterprise environments – Advantage
  • Experience with MLOps or LLMOps practices and CI/CD for AI and data systems – Advantage

The full listing

For our AI Data Platform Group in Haifa, we seek an AI & Software Engineer to join the team leading the organization’s AI and GenAI transformation The AI Data Platform Group is a core enterprise team responsible for the AI-native data platform and for leading the vision and development of the Company Brain. We build and manage the full AI and GenAI lifecycle, from infrastructure, data services, labeling, AI model development, and advanced data asset management, accelerating the shift into an AI and data-driven enterprise As part of this role, you will help build the Company Brain, an enterprise intelligence platform connecting organizational knowledge, data, processes, people, and AI agents into a trusted, scalable ecosystem You will work with advanced AI technologies, modern data platforms, and cross-organizational teams while shaping next-generation GenAI capabilities across the company In this role you will Define the architecture, technical roadmap, development, and company-wide rollout of the Company Brain platform Design and develop scalable frameworks for connecting, ingesting, and unifying organizational data sources, knowledge bases, and enterprise systems Drive adoption and implementation of the Company Brain across business and engineering domains, ensuring data is contextual, high quality, and ready for GenAI use Design, develop, and maintain the enterprise data layer and cross-organizational data platforms supporting the company’s GenAI capabilities Build core data services, ingestion and processing pipelines, data access and integration layers, and retrieval infrastructure such as RAG pipelines, vector stores, and semantic search to enable scalable, secure, and efficient AI adoption Ensure data platforms are reliable, scalable, secure, governed, and accessible across the organization Develop and integrate data-driven GenAI services addressing diverse organizational needs Lead end-to-end projects from requirements through development to production deployment Coordinate team plans, priorities, and delivery timelines while ensuring collaboration and alignment with stakeholders across multiple organizational interfaces Promote engineering excellence through communication, documentation, ownership, and accountability Continuously explore emerging GenAI and data platform capabilities Share knowledge and best practices within the team and across the organization Requirements B.Sc. or M.Sc. in Computer Science, Software Engineering, or related field, or equivalent experience from elite IDF tech units At least 3 years of experience developing production-grade software systems Experience designing AI systems from concept to production Strong development experience in Python and Linux environments Hands-on experience with Generative AI technologies including LLMs, AI agents, multi-agent systems, RAG, MCP, context engineering, knowledge graphs, and agent orchestration Hands-on experience with vector databases, semantic search, and large-scale RAG architectures Proficiency with cloud and on-prem deployments Proven technical leadership or lead engineer experience including planning, milestones, and delivery Excellent collaboration, problem-solving, and communication skills across multidisciplinary teams and organizational interfaces Experience designing and building enterprise-scale data platforms, pipelines, and data layers – Advantage Experience with enterprise search, knowledge management, knowledge graphs, or semantic retrieval systems – Advantage Experience with AI agent platforms and orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar – Advantage Familiarity with data governance, data quality, and data security in enterprise environments – Advantage Experience with MLOps or LLMOps practices and CI/CD for AI and data systems – Advantage Experience integrating diverse organizational data sources – Advantage *Only relevant applications will be answered #Haifa