{"id":3508452,"url":"https://alion.io/job/amazon-tech-lead-eng-aws-transform-agentic-ai","title":"Tech Lead Eng, AWS Transform, Agentic AI","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4588,"ghost_share":0,"stale_share":0.886,"repost_share":0.002,"time_to_fill_p50_days":27,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":103000,"max_usd":301000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2356},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-06T15:38:18Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"AWS Transform is building the next generation of Agentic AI services that autonomously migrate the world's largest enterprises to the cloud. With approximately 7/8 of all enterprise workloads still running on-premises, we are at the center of one of AWS's most significant growth opportunities. We are looking for a Senior Software Development Engineer who is excited to build at the frontier of AI - an engineer who wants to design and ship the autonomous agents that reason about complex infrastructure, make intelligent decisions, and execute large-scale migrations with minimal human intervention. This is a rare opportunity to do hands-on engineering on an AI-native platform as it takes shape.\nKey job responsibilities\n- Design, build, and own major components of our Agentic AI migration platform, where autonomous agents discover, plan, and execute data center migrations.\n- Implement multi-agent capabilities that leverage foundation models, chain-of-thought reasoning, and tool-use patterns to solve concrete migration challenges.\n- Contribute to AI-powered network transformation features, using generative models to analyze, replicate, and optimize enterprise network topologies.\n- Collaborate closely with engineers and product partners within your team, contributing to design reviews and helping maintain architectural coherence across our agent frameworks.\n- Improve the autonomy and accuracy of agentic orchestration for migration of servers, storage, networks, and applications through iterative development, testing, and measurement.\n- Raise the bar on engineering quality through code reviews, operational excellence, and AI-native development practices; mentor junior engineers and interns, and contribute to a culture of rapid experimentation, spec-driven engineering, and high-velocity releases on Brownfield projects.\nBasic qualifications\n- 5+ years of non-internship professional software development experience\n- 5+ years of programming with at least one software programming language experience\n- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n- Experience as a mentor, tech lead or leading an engineering team\nPreferred qualifications\n- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n- Bachelor's degree in computer science or equivalent\n- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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