{"id":3383568,"url":"https://alion.io/job/rtx-manager-ai-platform-engineer","title":"Manager - AI Platform Engineer","company":{"id":1162,"name":"RTX","domain":"rtx.com","url":"https://alion.io/company/raytheon-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":497,"ghost_share":0,"stale_share":0.71,"repost_share":0.02,"time_to_fill_p50_days":26,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T10:20:30Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Date Posted:\n2026-10-26\n\nCountry:\nIndia\n\nLocation:\nIN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli\n\nPosition Role Type:\nHybridAt RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.\nWhat You Will Do *\nDesign, develop, and own scalable backend services, APIs, microservices, and distributed platform capabilities that support enterprise AI applications, models, and agents.\nLead the design and integration of AI platform capabilities including AI gateways, model access and routing, agent runtimes, registries, lifecycle management, model serving, retrieval services, tool integration, and other reusable AI services.\nDesign secure platform patterns for agent and application identity, authentication and authorization, secrets management, permissions, tool access, and enterprise system integration.\nDefine and implement deployment patterns across development, test, and production environments using containers, Kubernetes, CI/CD, infrastructure-as-code, and modern cloud-native engineering practices.\nEstablish observability and reliability capabilities including logging, metrics, distributed tracing, monitoring, alerting, execution telemetry, operational diagnostics, and AI workload cost visibility.\nBuild reusable capabilities supporting AI evaluation, model and agent lifecycle management, configuration, versioning, MLOps, and production operations.\nDrive technical decisions for scalability, availability, resilience, security, performance, and support across cloud, hybrid, on-premises, and restricted computing environments.\nPartner with AI Architecture, Applied AI, Application Engineering, Cybersecurity, Data, and product teams, mentor engineers, and translate recurring solution needs into reusable enterprise platform capabilities.\nWhat You Will Learn\nHow enterprise AI platforms enable Generative AI, machine learning, and agentic solutions to operate securely and consistently across a global aerospace and defense company.\nHow models, agents, tools, identity, data, evaluation, governance, and observability come together in a production enterprise AI platform.\nHow agentic systems introduce new platform engineering challenges around identity, permissions, tool execution, lifecycle management, runtime controls, and observability.\nHow enterprise AI platforms are architected and operated across commercial cloud, hybrid, on-premises, and restricted computing environments.\nHow emerging technologies such as AI gateways, agent runtimes, MCP, orchestration frameworks, and AI observability platforms are evaluated and translated into enterprise capabilities.\nHow to influence global platform direction by turning recurring needs across RTX business units into reusable software and platform services\nQualifications You Must Have\nA Bachelor's Degree in Computer Science, Software Engineering, Engineering.\nMinimum of 8 years of experience and a minimum of 5 years of hands-on software or platform engineering experience developing backend services, APIs, distributed systems, cloud platforms, or production software, including experience owning complex capabilities from design through production.\nStrong hands-on programming experience using Python, Java, Go, C#, or another modern backend programming language, with experience designing tested, maintainable, production-grade software.\nExperience designing APIs, microservices, distributed services, event-driven systems, shared backend capabilities, and integration patterns for large-scale enterprise systems.\nHands-on experience with Docker, Kubernetes, CI/CD, infrastructure-as-code, and cloud-native deployment using at least one major public cloud platform.\nExperience designing production observability, reliability, monitoring, tracing, alerting, troubleshooting, and operational support for distributed services.\nStrong understanding of enterprise security concepts including identity and access management, authentication and authorization, secrets management, networking, and secure application integration.\nDemonstrated ability to make technical design decisions, lead complex engineering work, mentor other engineers, and collaborate across globally distributed technical teams.\nQualifications We Prefer\nExperience building AI/ML platforms, developer platforms, internal platforms, or shared enterprise software services used by multiple engineering teams.\nExperience with AI gateways, model serving, inference platforms, model routing, agent runtimes, orchestration platforms, or model and agent lifecycle capabilities.\nExperience with agentic AI platform concepts including agent registration, tool execution, Model Context Protocol (MCP), agent identity, permissions, state, lifecycle management, or agent observability.\nExperience with vector databases, enterprise search, retrieval services, knowledge platforms, feature stores, model registries, or other AI/ML infrastructure.\nExperience with MLOps, model deployment, AI evaluation infrastructure, model or agent versioning, monitoring, or lifecycle automation.\nExperience designing and operating highly available Kubernetes or distributed platforms with resilience, scalability, disaster recovery, and operational excellence requirements.\nExperience designing platform capabilities for hybrid cloud, on-premises, restricted, regulated, or enterprise environments with complex security and integration requirements.\nExperience using AI-assisted development tools and engineering workflows and helping other engineers adopt them effectively.\nLearn More & Apply Now\nJoin RTX Enterprise Services and help shape the enterprise AI platform used by teams across a global aerospace and defense company. You will combine senior software engineering, cloud platform, and AI infrastructure expertise to build reusable services that influence how AI is deployed and operated across RTX.\nPlease ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:\nOnsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.\nHybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.\nRemote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.\nCandidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.\nRequires advanced to expert knowledge of work area typically obtained through advanced education combined with experience.\nMay have broad knowledge of project management. Requires substantial knowledge of RTX projects, programs or systems in order to provide enhancements within job area.\nTypically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience\nEngineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.\nRTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.\nPrivacy Policy and Terms:\nClick on this link to read the Policy and Terms","description_format":"text","description_chars":8396,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Missiles","Air Defense","Avionics & Flight Control"],"lifecycle":[{"event":"open","at":"2026-10-28T06:22:23Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand,attention"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/rtx-manager-ai-platform-engineer","json_url":"https://alion.io/job/rtx-manager-ai-platform-engineer.json","meta":{"generated_at":"2026-10-31T12:10:28Z","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":18743,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":1162},"rest":"https://alion.io/mcp/rest/get_company?id=1162"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frtx-manager-ai-platform-engineer"},{"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%2Frtx-manager-ai-platform-engineer"},{"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%2Frtx-manager-ai-platform-engineer"},{"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/rtx-manager-ai-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frtx-manager-ai-platform-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3383568}},{"tool":"search_jobs","arguments":{"company":"rtx.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3383568},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}