{"id":871991,"url":"https://alion.io/job/qualcomm-senior-lead-engineer-ai-platform-architecture-engineering","title":"Senior Lead Engineer – AI Platform Architecture & Engineering","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":71,"open_postings":1169,"ghost_share":0.224,"stale_share":0.125,"repost_share":0.465,"time_to_fill_p50_days":75,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"ONNX","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-31T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-21T03:18:20Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":81},"description":"Company:\nQualcomm India Private LimitedJob Area:\nEngineering Group, Engineering Group > Software EngineeringGeneral Summary:\nWe are seeking an experienced and highly motivated Senior Lead Engineer to lead the design, deployment, operationalization, and scaling of Generative AI (GenAI) solutions including orchestrator framework and deployment across enterprise and product environments.\nThe successful candidate will combine deep software engineering expertise with hands-on experience in building Agents, orchestrators, LLM-based applications, MLOps, cloud-native architectures, and production deployment of AI services. This individual will drive technical strategy, mentor engineering teams, architect scalable AI platforms, and ensure successful delivery of AI-powered solutions from concept through production.\nThis role requires strong leadership capabilities, exceptional technical depth, and a proven track record of deploying AI systems that deliver measurable business value.\nMinimum Qualifications:\n• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.OR\nMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.\nOR\nPhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.\n• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.\nJob Summary\nPreferably looking for master's or Ph.D. with focus on deployment and application AI.\nKey Responsibilities\nAI Platform Architecture & Deployment\nLead design and implementation of scalable AI/ML platforms, building agents, orchestrator frameworks and enterprise AI infrastructure.\n\nArchitect and deploy production-grade Generative AI, Machine Learning, and Agentic AI solutions.\n\nBuild secure and reliable AI deployment pipelines and operational frameworks.\n\nDesign AI services capable of supporting enterprise-scale workloads and high availability.\n\nDrive adoption of cloud-native AI technologies and modern deployment architectures.\n\nAI/ML Solution Development\nDevelop end-to-end AI systems utilizing:\nLarge Language Models (LLMs)\n\nRetrieval-Augmented Generation (RAG)\n\nAI Agents and Multi-Agent Systems\n\nMachine Learning and Deep Learning frameworks\n\nNLP and Conversational AI\n\nComputer Vision\n\nRecommendation Systems\n\nPredictive Analytics\n\nEvaluate and select appropriate models, architectures, and deployment strategies.\n\nMLOps & AI Operations\nEstablish and maintain MLOps best practices.\n\nImplement:\nCI/CD pipelines for AI workloads\n\nModel versioning\n\nExperiment tracking\n\nAutomated retraining\n\nModel monitoring\n\nDrift detection\n\nPerformance benchmarking\n\nGovernance and auditability\n\nEnsure reliable deployment, operational monitoring, and lifecycle management of AI solutions.\n\nEngineering Leadership\nProvide technical leadership across AI initiatives.\n\nLead architecture reviews and technical design discussions.\n\nMentor engineers and data scientists.\n\nEstablish engineering standards, best practices, and reusable frameworks.\n\nCollaborate with senior leadership on AI strategy and roadmaps.\n\nProduct & Cross-Functional Collaboration\nPartner with Product Management, Architecture, Security, IT, Data Engineering, and Business stakeholders.\n\nTranslate business requirements into scalable technical solutions.\n\nDrive adoption of AI technologies throughout the software development lifecycle.\n\nAI Governance, Security & Compliance\nEnsure responsible AI practices and model governance.\n\nImplement security controls for AI systems and deployed models.\n\nDevelop standards for privacy, compliance, explainability, and risk management.\n\nMaintain governance frameworks for enterprise AI deployments.\n\nRequired Qualifications\nEducation\nBachelor's or Master's degree in:\nComputer Science\n\nArtificial Intelligence\n\nMachine Learning\n\nSoftware Engineering\n\nData Science\n\nElectrical Engineering\n\nRelated technical discipline\n\nExperience (5-7 Years)\n5+ years of software engineering experience.\n\n3+ years of hands-on AI/ML engineering experience.\n\n3+ years leading technical teams or major technical programs.\n\nProven experience deploying AI systems into production environments.\n\nTechnical Expertise\nProgramming\nStrong proficiency in:\nPython\n\nC/C++\n\nAI/ML Frameworks\nExperience with:\nPyTorch\n\nTensorFlow\n\nKeras\n\nHugging Face\n\nONNX\n\nScikit-learn\n\nGenerative AI\nDemonstrated expertise in:\nLLM architectures\n\nPrompt Engineering\n\nContext Engineering\n\nRAG systems\n\nFine-tuning methodologies\n\nAgentic AI frameworks\n\nFunction Calling\n\nTool Use\n\nMulti-agent orchestration\n\nAI Infrastructure\nExperience with:\nKubernetes\n\nDocker\n\nDistributed computing\n\nGPU acceleration\n\nHigh-performance AI inference\n\nAI serving frameworks\n\nMLOps\nHands-on experience with:\nMLFlow\n\nKubeflow\n\nAirflow\n\nVertex AI\n\nSageMaker\n\nAzure Machine Learning\n\nCI/CD automation\n\nModel monitoring platforms\n\nCloud Platforms\nExperience deploying solutions on:\nMicrosoft Azure\n\nAWS\n\nGoogle Cloud Platform\n\nApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. 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