{"id":2226831,"url":"https://alion.io/job/texas-instruments-workflow-automation-engineer-genai-focused","title":"Workflow Automation Engineer | GenAI Focused","company":{"id":36400,"name":"Texas Instruments","domain":"ti.com","url":"https://alion.io/company/texas-instruments","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":99,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1413},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-06-10T14:27:38Z","employer_posted_date":"2026-06-10","last_verified_at":"2026-10-13T09:17:21Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":124},"description":"Change the world. Love your job.\nSmart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Workflow Automation Engineer who can fundamentally change how quality and manufacturing operations run. This role sits at the intersection of deep process understanding and sophisticated software engineering - you will work directly with operational teams to identify inefficiencies, design automated solutions, and build systems that scale across the semiconductor product lifecycle, from fab operations to customer delivery.\nThis role is not about automating tasks in isolation. It involves solving problems in complex operational environments, earn the trust of subject matter experts, and drive and implement workflow automation across systems.\nAbout You\nYou are a strong software engineer energized by ambiguity. You can walk into a room with process engineers and quality specialists, ask the right questions, and leave with a clear picture of what needs to be built. You don’t just write code - you understand the business problem deeply enough to know when a simpler solution beats a clever one.\nYou are self-directed. You find automation opportunities others miss, propose solutions before anyone asks, and take ownership of outcomes from design through deployment. You stay current with emerging technologies - including agentic frameworks and AI tooling - not because it’s trendy, but because you know how to apply them where they genuinely move the needle.\nWhat You’ll Do\nUnderstand and Automate\nEngage directly with operational and engineering stakeholders to understand, map, and automate complex business processes - translating domain expertise into reliable, scalable software\nAnalyze existing workflows across manufacturing and quality operations to identify automation opportunities with measurable impact on productivity, cycle time, and decision quality\nDesign and implement end-to-end automated workflow solutions that reduce manual effort and increase operational consistency\nBuild with Engineering Excellence\nBuild scalable, maintainable software with clean architecture, disciplined testing, and rigorous version control practices\nDesign and implement agentic automation solutions leveraging emerging frameworks such as Model Context Protocol (MCP) and agent-to-agent (A2A) protocols to create intelligent, composable workflow systems\nApply strong software engineering fundamentals to ensure solutions are robust, extensible, and production-grade\nLead and Elevate\nDefine and drive technical strategy for workflow automation - setting engineering standards and identifying platform-level opportunities that compound impact over time\nMentor engineers and elevate team capability through technical guidance, code reviews, and knowledge sharing\nProactively identify and self-initiate improvements beyond assigned scope, bringing a continuous improvement mindset to everything you build\n Minimum Requirements:\nBachelor’s degree in Computer Science, Computer Engineering, ECE, Electrical Engineering, or related field\n5 years of software engineering experience\nProficiency in Python and SQL for automation, data processing, and complex database interactions\nExperience with git and modern software development practices including code reviews, testing, and CI/CD\nFamiliarity with AI-assisted development tools as a productivity accelerator\n\nPreferred Qualifications:\nMasters degree\nDemonstrated ability to understand complex engineering or business processes and translate them into automated, production-grade solutions\nStrong foundation in data structures and algorithms\nExperience in semiconductor manufacturing or familiarity with fab operations, quality systems, or product lifecycle processes\nFamiliarity with quality engineering concepts such as defect analysis, yield management, reliability, or corrective action workflows\nExperience with MES (Manufacturing Execution Systems), lab data systems, or semiconductor equipment data interfaces\nProven track record of successfully automating multi-step engineering or business workflows at enterprise scale\nHands-on experience with agentic frameworks, MCP, A2A, or LLM integration in production systems\nExcellent communication skills for engaging technical and 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