{"id":2156400,"url":"https://alion.io/job/codev-gemini-enterprise-engineer","title":"Gemini Enterprise Engineer","company":{"id":2467148,"name":"CoDev","domain":"codev.com","url":"https://alion.io/company/codev-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":32000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4414},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Go","optional":false},{"name":"Google Workspace","optional":false},{"name":"JavaScript","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"BigQuery","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Machine Learning","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI Agent Builder","optional":true}],"status":"live","first_seen_at":"2026-10-09T06:48:27Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T20:14:21Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview\nWe are seeking a skilled Gemini Enterprise Engineer to design, implement, integrate, and support enterprise-grade generative AI solutions using Google Cloud technologies. The ideal candidate has experience with Google Cloud Platform, enterprise search, generative AI, data integration, and AI agent development. This role works closely with business stakeholders, cloud engineers, security teams, and application developers to transform business processes into secure, scalable, AI-powered workflows.\nResponsibilities\nKey ResponsibilitiesGemini Enterprise Implementation\nDesign, configure, and deploy Gemini Enterprise applications based on customer and business requirements.\nBuild AI-powered enterprise search, knowledge discovery, question-answering, and workflow automation solutions.\nConfigure applications, data stores, search experiences, actions, and AI agents.\nDevelop reusable AI agents that support operations, customer service, sales, human resources, and knowledge management.Data Integration and Enterprise Search\nConnect Gemini Enterprise with structured and unstructured enterprise data sources.\nIntegrate data from Google Workspace, Microsoft 365, databases, document repositories, cloud storage, APIs, and third-party business applications.\nDesign secure data ingestion, indexing, synchronization, and retrieval processes.\nImprove search quality and generated responses through metadata configuration, document preparation, access controls, grounding, and retrieval optimization.\nEnsure applications are connected to the appropriate data stores to support search results, answers, actions, and agents.Security and Governance\nImplement identity, access management, data permissions, and role-based access controls.\nEnsure Gemini Enterprise solutions comply with organizational security, privacy, and governance policies.\nConfigure secure access to enterprise information based on existing user permissions.\nWork with security and compliance teams on data residency, auditability, retention, and responsible AI requirements.\nIdentify and mitigate risks such as data leakage, prompt injection, unauthorized access, hallucinations, and inappropriate AI responses.\nMaintain documentation covering system architecture, data flows, access controls, and operational procedures.Deployment and Operations\nSupport Gemini Enterprise solutions throughout development, testing, production deployment, and ongoing operations.\nMonitor application usage, search quality, agent performance, errors, latency, and user feedback.\nTroubleshoot data connector, indexing, authentication, API, permission, and application issues.\nImplement logging, monitoring, alerting, testing, and operational support processes.\nRecommend improvements based on adoption metrics, evaluation results, and stakeholder feedback.\nStay current with Gemini Enterprise, Gemini models, Vertex AI, and related Google Cloud services.Stakeholder Collaboration\nConduct discovery sessions to understand business requirements, workflows, data sources, and expected outcomes.\nTranslate business requirements into technical architecture and implementation plans.\nCreate proofs of concept, demonstrations, solution documentation, and technical presentations.\nCollaborate with project managers, architects, developers, data engineers, security teams, and business users.\nTrain administrators, developers, support teams, and end users on Gemini Enterprisecapabilities and responsible usage.\nCommunicate technical risks, dependencies, progress, and recommendations to stakeholders.Required Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience.\nAt least 3 years of experience in cloud engineering, software development, data engineering, AI engineering, or enterprise application implementation.\nHands-on experience with Google Cloud Platform.\nExperience with generative AI, large language models, conversational AI, or enterprise search technologies.\nExperience integrating applications with APIs, databases, cloud storage, and third-party systems.\nProficiency in at least one programming language, preferably Python, Java,JavaScript/TypeScript, or Go.\nUnderstanding of REST APIs, authentication, OAuth, service accounts, and identity and access management.\nKnowledge of prompt engineering, retrieval-augmented generation, grounding, embeddings, and semantic search.\nFamiliarity with structured and unstructured data ingestion.\nExperience with application testing, troubleshooting, logging, and monitoring. \nStrong analytical, documentation, communication, and stakeholder-management skills.\nQualifications\nPreferred Qualifications\nHands-on experience implementing Gemini Enterprise or related Google Cloud AI products.\nExperience with Vertex AI, Gemini APIs, Vertex AI Search, Agent Builder, or conversational AIplatforms.\nExperience developing enterprise AI agents and multi-step agentic workflows.\nExperience integrating Google Workspace or Microsoft 365 data.\nKnowledge of BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, and API management.\nExperience with document processing, vector search, embeddings, or knowledge-management platforms.\nFamiliarity with infrastructure as code and CI/CD tools such as Terraform, GitHub Actions, or Cloud Build.\nUnderstanding of responsible AI, model evaluation, AI governance, and enterprise data privacy.\nExperience in client-facing consulting, professional services, or enterprise implementation environments.\nRelevant Google Cloud certifications, such as Professional Machine Learning Engineer,Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, or Generative AI Leader. Key Technical Skills\nGemini Enterprise and Gemini APIs\nVertex AI and enterprise search\nAI agents and agentic workflows\nRetrieval-augmented generation and prompt engineering\nPython, Java, JavaScript/TypeScript, or Go\nREST APIs and systems integration\nGoogle Workspace and Microsoft 365 integrations\nIdentity and Access Management\nBigQuery, Cloud Storage, and data ingestion\nLogging, monitoring, evaluation, responsible AI, and AI governanceCore Competencies\nStrong problem-solving and analytical abilities.\nAbility to translate business needs into practical AI solutions.\nStrong attention to data security, privacy, and governance.\nClear technical and business communication.\nAbility to manage multiple implementation priorities.\nCollaborative and customer-focused approach.\nAbility to work independently while coordinating with cross-functional teams.","description_format":"text","description_chars":6578,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & Logistics","Sea Freight","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-09T06:48:27Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":31,"reasons":["conf:3","win:early"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/codev-gemini-enterprise-engineer","json_url":"https://alion.io/job/codev-gemini-enterprise-engineer.json","meta":{"generated_at":"2026-10-12T21:40:49Z","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":35373,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":2467148},"rest":"https://alion.io/mcp/rest/get_company?id=2467148"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcodev-gemini-enterprise-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%2Fcodev-gemini-enterprise-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%2Fcodev-gemini-enterprise-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/codev-gemini-enterprise-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcodev-gemini-enterprise-engineer"}]}