{"id":3408721,"url":"https://alion.io/job/elbit-systems-ai-software-engineer-ai-data-platforms","title":"AI & Software Engineer - AI Data Platforms","company":{"id":180,"name":"Elbit Systems","domain":"elbitsystems.com","url":"https://alion.io/company/elbit-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":87,"open_postings":311,"ghost_share":0.129,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":136,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Haifa, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-18T12:46:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T03:51:39Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":13},"description":"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\nThe 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\nAs 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\nYou will work with advanced AI technologies, modern data platforms, and cross-organizational teams while shaping next-generation GenAI capabilities across the company\nIn this role you will\nDefine the architecture, technical roadmap, development, and company-wide rollout of the Company Brain platform\nDesign and develop scalable frameworks for connecting, ingesting, and unifying organizational data sources, knowledge bases, and enterprise systems\nDrive adoption and implementation of the Company Brain across business and engineering domains, ensuring data is contextual, high quality, and ready for GenAI use\nDesign, develop, and maintain the enterprise data layer and cross-organizational data platforms supporting the company’s GenAI capabilities\nBuild 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\nEnsure data platforms are reliable, scalable, secure, governed, and accessible across the organization\nDevelop and integrate data-driven GenAI services addressing diverse organizational needs\nLead end-to-end projects from requirements through development to production deployment\nCoordinate team plans, priorities, and delivery timelines while ensuring collaboration and alignment with stakeholders across multiple organizational interfaces\nPromote engineering excellence through communication, documentation, ownership, and accountability\nContinuously explore emerging GenAI and data platform capabilities\nShare knowledge and best practices within the team and across the organization\n\nRequirements\nB.Sc. or M.Sc. in Computer Science, Software Engineering, or related field, or equivalent experience from elite IDF tech units\nAt least 3 years of experience developing production-grade software systems\nExperience designing AI systems from concept to production\nStrong development experience in Python and Linux environments\nHands-on experience with Generative AI technologies including LLMs, AI agents, multi-agent systems, RAG, MCP, context engineering, knowledge graphs, and agent orchestration\nHands-on experience with vector databases, semantic search, and large-scale RAG architectures\nProficiency with cloud and on-prem deployments\nProven technical leadership or lead engineer experience including planning, milestones, and delivery\nExcellent collaboration, problem-solving, and communication skills across multidisciplinary teams and organizational interfaces\nExperience designing and building enterprise-scale data platforms, pipelines, and data layers - 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