{"id":115656,"url":"https://alion.io/job/spyrosoft-lead-ml-architect-google-cloud","title":"Lead ML Architect (Google Cloud)","company":{"id":933,"name":"Spyrosoft","domain":"spyro-soft.com","url":"https://alion.io/company/spyrosoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":74,"open_postings":90,"ghost_share":0.522,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":160,"max":190,"currency":"PLN","period":"hour","gross":null,"usd_annual":102000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Vertex AI","optional":false},{"name":"Google GKE","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-24T12:24:49Z","employer_posted_date":null,"last_verified_at":"2026-08-24T12:24:49Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"Project description:\nJoin a strategic cloud and AI transformation program focused on building enterprise-scale Machine Learning platforms on Google Cloud. As a Lead ML Architect, you will define the target architecture for advanced ML and MLOps ecosystems, enabling Data Science, Data Engineering and Cloud teams to develop, deploy and operate Machine Learning solutions efficiently and securely.\nYou will play a key role in shaping architecture standards and best practices around Vertex AI and Gemini Enterprise Agent Platform Pipelines, supporting multiple business domains and data products. Working closely with enterprise stakeholders, you will translate business and technical requirements into scalable platform solutions and provide architectural leadership throughout implementation.\nThis role combines customer-facing consulting, architecture ownership and deep technical expertise in modern Machine Learning platforms.\nTech stack:\nGoogle Cloud Platform (GCP)\n\nVertex AI\n\nGemini Enterprise Agent Platform Pipelines\n\nBigQuery\n\nCloud Storage, Cloud Composer\n\nDataflow\n\nKubernetes (GKE), Terraform, CI/CD\n\nPython\n\nMLOps\n\nIAM\n\nModel Registry\n\nMonitoring & Observability\n\nRequirements:\nProven experience designing and delivering production-grade ML and MLOps platforms in enterprise environments\n\nDeep hands-on expertise with Google Cloud Platform (GCP)\n\nStrong production experience with Vertex AI and Gemini Enterprise Agent Platform Pipelines\n\nProven ability to design end-to-end ML lifecycle architectures and pipeline orchestration frameworks\n\nStrong understanding of modular, reusable and scalable ML pipeline design patterns\n\nExtensive knowledge of BigQuery and its role within enterprise-scale Machine Learning ecosystems\n\nPractical experience with ML lifecycle management, model monitoring, retraining strategies, rollback mechanisms and reproducibility standards\n\nHands-on experience designing CI/CD and deployment patterns for Machine Learning solutions\n\nExperience building solutions that operate across development, testing and production environments\n\nStrong understanding of cloud security, IAM, governance and compliance principles\n\nSolid software engineering background with architectural mindset\n\nAbility to evaluate architecture trade-offs related to scalability, security, maintainability, operability and cost optimization\n\nExperience working directly with enterprise customers and senior technical stakeholders\n\nExcellent communication skills and the ability to facilitate architecture workshops and technical discussions\n\nAbility to operate comfortably between strategic architecture planning and implementation-level engineering details\n\nFluent English (C1)\n\nNice to have:\nGoogle Cloud Professional Cloud Architect certification\n\nGoogle Cloud Professional Machine Learning Engineer certification\n\nExperience with AI and Generative AI platforms deployed in enterprise environments\n\nKnowledge of Responsible AI, model governance and enterprise AI adoption frameworks\n\nExperienced in using AI tools in day-to-day workflow\n\nMain responsibilities:\nOwn the target architecture of enterprise ML and MLOps platforms on Google Cloud\n\nLead architecture workshops, discovery sessions and technical discussions with enterprise customers\n\nTranslate business, ML, data, security and operational requirements into scalable architecture designs\n\nDesign end-to-end Machine Learning lifecycle patterns covering data preparation, feature engineering, experimentation, model training, evaluation, model registration and promotion\n\nDefine architecture standards and best practices for Vertex AI and Gemini Enterprise Agent Platform Pipelines\n\nDesign reusable and modular pipeline architectures supporting multiple teams and ML workloads\n\nDefine governance frameworks including approval processes, lifecycle policies, lineage tracking and reproducibility standards\n\nDesign feature management solutions leveraging BigQuery and Google Cloud-native services\n\nEstablish integration patterns between ML platforms, enterprise data ecosystems, CI/CD frameworks, IAM and governance solutions\n\nDefine monitoring strategies covering model performance, drift detection, observability and ground-truth validation\n\nProvide architectural guidance to MLOps, Cloud and Data Engineering teams throughout implementation\n\nDrive technical decision-making and ensure alignment with enterprise architecture standards\n\nMaintain architecture documentation, technology roadmaps and implementation guidelines\n\nPromote engineering excellence and adoption of cloud-native Machine Learning best practices across the organization","description_format":"text","description_chars":4607,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Embedded Software & RTOS","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-08-24T12:24:49Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.282,"p_room":0.35,"age_days":52,"expected_fill_days":15,"reasons":["seen:52","stale_co","velocity","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":102000,"is_top_pay":false},"html_url":"https://alion.io/job/spyrosoft-lead-ml-architect-google-cloud","json_url":"https://alion.io/job/spyrosoft-lead-ml-architect-google-cloud.json","meta":{"generated_at":"2026-10-17T03:54:06Z","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":5113,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":933},"rest":"https://alion.io/mcp/rest/get_company?id=933"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspyrosoft-lead-ml-architect-google-cloud"},{"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%2Fspyrosoft-lead-ml-architect-google-cloud"},{"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%2Fspyrosoft-lead-ml-architect-google-cloud"},{"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/spyrosoft-lead-ml-architect-google-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspyrosoft-lead-ml-architect-google-cloud"}]}