{"id":2228611,"url":"https://alion.io/job/general-motors-staff-software-engineer-ai-platform","title":"Staff Software Engineer – AI Platform","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","Mountain View, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":189300,"max":333400,"currency":"USD","period":"year","gross":null,"usd_annual":333400},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-20T20:52:38Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Job Description\nAt General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.\nEvery day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale\nThe Role:\nWe are looking for a Staff Individual Contributor who combines exceptional software-engineering execution with enterprise architecture leadership to design and build the next generation of customer-facing AI systems.\nThis role will lead the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, policy enforcement, and AI platform services. The successful candidate will help establish durable technical patterns across cloud services and customer experiences while personally contributing production code in Python and Go and/or Java.\nThis is a senior technical leadership role, not a people-management position. The engineer will influence architecture, mentor through technical leadership, raise engineering standards, and drive execution through design reviews and implementation-not through direct reports.\nWhat You'll Do:\nOwn architecture and hands-on delivery of complex customer-facing AI modules from PRD through production.\nTurn product needs into clear component boundaries, APIs, data models, ERDs, sequence flows, deployment designs, test strategies, and AI evaluation plans.\nBuild reusable services for orchestration, agents, grounding, retrieval, memory, tool integration, conversation state, and channel adapters.\nLead technical decisions for inference, serving, reliability, security, observability, capacity, and operational readiness.\nEstablish reference implementations and engineering patterns for AI-enabled services across GCP and Azure.\nDrive CI/CD, automated testing, AI evaluation and regression pipelines, release readiness, and production operations.\nPartner with product, security, privacy, data, infrastructure, and application teams to resolve cross-system tradeoffs.\nProvide technical leadership through architecture reviews, design documentation, code reviews, incident analysis, and production-readiness reviews.\nIdentify opportunities to simplify duplicated capabilities and standardize reusable platform interfaces.\nYour Skills & Abilities (Required Qualifications):\n8+ years of software engineering experience, including ownership of distributed, cloud-native, or customer-facing systems.\nTrack record as a hands-on technical architect, staff/principal engineer, or lead programmer delivering production systems at scale.\nExpert Python and strong Go and/or Java programming skills.\nStrong command of distributed-system design, service boundaries, API and data contracts, asynchronous processing, eventing, caching, consistency, and fault tolerance.\nProduction experience with LLM applications, agent orchestration, RAG, embeddings/vector search, tool use, MCP, A2A, and chatbot or workflow-based systems, including quality, safety, grounding, and regression evaluation.\nExperience with inference and serving for low latency, high throughput, concurrency, autoscaling, traffic management, and cost/performance optimization.\nCloud and delivery experience with GCP and/or Azure, containers/Kubernetes, IAM, secrets, messaging, managed data services, CI/CD, infrastructure as code, and automated testing.\nAbility to define and implement architecture artifacts and non-functional requirements covering security, privacy, observability, SLOs/SLIs, capacity, BCP, DR, and operational resilience.\nStrong written and verbal communication, technical judgment, and ability to influence without direct authority.\nWhat Will Give You A Competitive Edge (Preferred Qualifications):\nExperience building conversational AI for automotive, mobility, contact center, consumer, or other high-scale customer-facing domains.\nExperience with Vertex AI, Azure AI services, model gateways, vector databases, retrieval/evaluation platforms, and model observability.\nExperience with privacy-aware personalization, governed memory, grounding, tool access, auditability, and deletion workflows.\nExperience integrating CRM, identity, knowledge, telephony, messaging, or other enterprise systems.\nExperience converging duplicated platforms through incremental adoption and leading cross-organization architecture initiatives without direct authority.\nCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The salary range for this role is $189,300-$333,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as the geography of the selected candidate.\nBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.\nBenefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.\n\nGM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).\n\nThis role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.\n\nRelocation benefits are available for candidates who qualify under company policy.\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.","description_format":"text","description_chars":8604,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-10T17:37:23Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 795 · green card filings: 1","filings_12m":795,"filings_prev_12m":812,"green_card_filings_12m":1,"median_offered_wage_usd":147456,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":344}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.761,"p_room":0.45,"age_days":20,"expected_fill_days":12,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":333400,"is_top_pay":true},"html_url":"https://alion.io/job/general-motors-staff-software-engineer-ai-platform","json_url":"https://alion.io/job/general-motors-staff-software-engineer-ai-platform.json","meta":{"generated_at":"2026-10-20T22:00:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25673,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-staff-software-engineer-ai-platform"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-motors-staff-software-engineer-ai-platform"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-motors-staff-software-engineer-ai-platform"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-motors-staff-software-engineer-ai-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-staff-software-engineer-ai-platform"}]}