{"id":1544260,"url":"https://alion.io/job/deutsche-bank-gcp-data-ai-engineer-as","title":"GCP Data & AI Engineer, AS","company":{"id":8385,"name":"Deutsche Bank","domain":"db.com","url":"https://alion.io/company/deutsche-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":234,"ghost_share":0.009,"stale_share":0.769,"repost_share":0.047,"time_to_fill_p50_days":30,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AgentOps","optional":true},{"name":"Docker","optional":true}],"status":"closed","first_seen_at":"2026-09-30T21:54:26Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-22T05:57:38Z","board_verified":false,"closed_at":"2026-10-22T05:57:38Z","days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Job Description:\nJob Title: GCP Data & AI Engineer, AS\nLocation: Pune, India\nRole Description:\nAs an AVP and Senior GCP Data and AI Engineer, you will lead the architecture and hands-on delivery of complex data and generative AI solutions on GCP. Working as a senior individual contributor, you will translate business and technical requirements into production-ready designs; build scalable batch and streaming pipelines, APIs, RAG systems, and agentic workflows; and establish engineering standards for security, testing, deployment, resilience, and operational support. You will own solutions from design through production deployment and provide technical guidance on critical engineering decisions and complex production issues.\nWhat we’ll offer you\nAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy\nBest in class leave policy.\nGender neutral parental leaves\n100% reimbursement under childcare assistance benefit (gender neutral)\nSponsorship for Industry relevant certifications and education\nEmployee Assistance Program for you and your family members\nComprehensive Hospitalization Insurance for you and your dependents\nAccident and Term life Insurance\nComplementary Health screening for 35 yrs. and above\nYour key responsibilities:\nAs a Senior Engineer, your hands-on responsibilities will include:\nAI & Application Development:\nDesign, build, and operationalize sophisticated AI applications, including production-grade RAG pipelines on GCP.\nLeverage the Gemini Enterprise Agent Platform to train, fine-tune, and deploy machine learning and generative AI models.\nDesign and implement complex agentic workflows to automate and optimize business processes.\nDesign, develop, integrate, secure, version, test, deploy, consume, and operate mission-critical REST APIs using Python, with containerised deployment on Cloud Run.\nData Engineering & Pipelines:\nDesign, develop, and maintain scalable batch and streaming data pipelines using Python, SQL, Cloud Composer, and Pub/Sub.\nDevelop and optimize complex SQL queries in Big Query for large-scale data analysis, extraction, and transformation.\nAutomate data quality and ETL testing procedures using Python and SQL.\nInfrastructure & Operations:\nDevelop and deploy all cloud infrastructure as code using Terraform.\nImplement and manage CI/CD pipelines for data and AI applications, including automated testing, security checks, controlled environment promotion, and reliable production deployment.\nOwn security and governance controls for data and AI solutions, including IAM, least-privilege access, encryption, secrets management, audit logging, data protection, and compliance with enterprise standards.\nServe as a key escalation point for complex L3 production issues, providing expert troubleshooting and resolution.\nYour skills and experience\nMandatory Engineering Skills:\n6-10 years of IT experience as a hands-on engineer, including responsibility for designing, building, deploying, and supporting large-scale data systems in production.\nExpert-Level Languages: Deep proficiency in Python and advanced SQL, including complex query optimization and data modelling.\nCloud Platform: Extensive hands-on experience building solutions on GCP. Experience with Azure or AWS is also valuable.\nCore GCP Services: Mastery of Big Query, Cloud Composer (or Apache Airflow), and Cloud Run in production environments.\nInfrastructure & Automation: Proficient in defining infrastructure as code using Terraform and designing and managing robust CI/CD pipelines using Cloud Build, Artifact Registry, automated testing, vulnerability scanning, and environment-based release strategies.\nAdvanced Technical & Design Expertise: We expect candidates to have deep, practical experience in the following areas, with a portfolio of projects demonstrating their expertise.\nSystem Design: Strong understanding of modern data patterns, distributed systems, and architectural best practices.\nConversational AI: Hands-on experience designing and developing conversational AI solutions and chatbots using Dialog flow CX (Conversational Agents) or CX Agent Studio.\nGemini Enterprise Agent Platform: Extensive hands-on experience building enterprise AI solutions using the Gemini Enterprise Agent Platform, including agent configuration, integration, evaluation, security, deployment, and operational monitoring.\nGenerative AI Systems: Proven experience building and deploying production-grade RAG (Retrieval-Augmented Generation) systems. Deep understanding of LLMs (like Gemini), vector databases, and embedding models.\nAgentic AI Application & Workflow Development: Strong practical experience designing and developing agentic AI applications, complex workflows, agentic patterns, and multi-agent systems using the Google Agent Development Kit (ADK). Knowledge of concepts such as the A2A (agent-to-agent) protocol and agent cards is highly desirable.\n AgentOps & Application Hosting: Demonstrable experience in operationalizing AI models and hosting applications using containers (Docker).\nHow we’ll support you\nTraining and development to help you excel in your career\nCoaching and support from experts in your team\nA culture of continuous learning to aid progression\nA range of flexible benefits that you can tailor to suit your needs\nAbout us and our teams\nPlease visit our company website for further information:\nhttps://www.db.com/company/company.html\nWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.\nTogether we share and celebrate the successes of our people. Together we are Deutsche Bank Group.\nWe welcome applications from all people and promote a positive, fair and inclusive work environment.","description_format":"text","description_chars":5804,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Life insurance","Parental leave"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-30T21:54:26Z"},{"event":"close","at":"2026-10-22T05:57:38Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/deutsche-bank-gcp-data-ai-engineer-as","json_url":"https://alion.io/job/deutsche-bank-gcp-data-ai-engineer-as.json","meta":{"generated_at":"2026-10-25T19:14:18Z","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":27373,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":8385},"rest":"https://alion.io/mcp/rest/get_company?id=8385"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeutsche-bank-gcp-data-ai-engineer-as"},{"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%2Fdeutsche-bank-gcp-data-ai-engineer-as"},{"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%2Fdeutsche-bank-gcp-data-ai-engineer-as"},{"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/deutsche-bank-gcp-data-ai-engineer-as\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeutsche-bank-gcp-data-ai-engineer-as"}]}