{"id":2898081,"url":"https://alion.io/job/deutsche-bank-senior-engineer-avp-3","title":"Senior Engineer, AVP","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":"A","score":85,"open_postings":227,"ghost_share":0,"stale_share":0.789,"repost_share":0.026,"time_to_fill_p50_days":20,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"head","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":21000,"max_usd":51000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":779},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"Agile","optional":true},{"name":"Feature Store","optional":true},{"name":"Jira","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-20T10:46:16Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description:\nJob Title: Senior Engineer, AVP\nLocation: Pune, India\nRole Description\nA Senior Engineer is responsible for designing, developing, and delivering robust high-performance data pipelines, intelligent agentic workflows, Machine Learning Models, and cognitive solutions to solve complex business problems and accomplish organizational goals.\nKey responsibilities of this role include active participation in the design, development, and deployment of artificial intelligence (AI), machine learning (ML), Agentic AI, and enterprise data engineering features. This includes investigating re-use, ensuring that AI Agent/ML and ETL solutions are fit for purpose, secure, and maintainable, and ensuring they can be integrated successfully into the overall enterprise environment with clear, robust, and well-tested deployment pipelines. \nAssists more junior members of the team and controls their work where applicable.\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\nDevelops and deploys source code, including infrastructure and application-related configurations for AI/ML, Agentic AI, and large-scale data processing components, in accordance with software requirement specifications.\nProvides Development activities for Projects, ETL pipelines, and AI infrastructure components (i.e., Python, PySpark, GCP Vertex AI, Agentic frameworks, Machine Learning pipelines, and Infrastructure as a Code).\nDesigns and builds Intelligent AI Agents capable of planning, tool-use, multi-agent collaboration, and executing complex reasoning tasks.\n Designs, develops, and maintains scalable Batch and Real-time ETL/ELT pipelines to ingest, clean, and transform massive structured and unstructured datasets.\nDebugs, fixes, and provides support to the L3 support team for deployed AI/ML models, data pipelines, and applications.\nVerifies developed source code, data transformation logic, and prompt configurations by peer reviews (4-eyes principle).\nContributes to quality assurance by writing and conducting unit, integration, and evaluation testing specifically designed for both deterministic ETL pipelines and non-deterministic AI outputs (e.g., LLM evaluations).\nEnsures architectural changes (as defined by Enterprise/AI/Data Architects) are implemented.\nContributes to problem and root cause analysis for cognitive pipelines, data pipeline bottlenecks, and ML model drift or performance degradation.\nIntegrates software components following the integration strategy, MLOps, and DataOps guidelines.\nWorks on technical continuous improvements across AI/ML and data modules regularly (e.g., query performance tuning, PySpark job optimization, latency optimization, context window management, cost reduction).\nWhere applicable, develops CI/CD routines to deploy AI models, data pipelines, and agentic workflows to target environments.\nProvides Release Deployments on non-Production Management controlled environments.\nSupports creation of Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions for AI and data systems.\nCollaborates with colleagues participating in other stages of the Software Development Lifecycle (SDLC), MLOps, and Data Lifecycle.\nYour skills and experience\nGeneral Skills\nBachelor of Science degree from an accredited college or university with a concentration in Computer Science, Data Science, AI, or Software Engineering (or equivalent) - with a minor in Finance, Mathematics, or Engineering.\nStrong analytical and problem-solving skills, specifically in handling unstructured data, big data processing, and complex decision trees.\nProficient communication skills with the ability to explain complex AI/ML and Big Data engineering concepts to non-technical stakeholders.\nFluent in English (written/verbal).\nAbility to work in virtual teams and in matrixed organizations.\nExcellent team player and open-minded.\nKeeps pace with rapid technical innovation in Generative AI, Large Language Models (LLMs), Agentic architectures, and Big Data technologies.\nUnderstands the relevant business area and relevant Financial Services compliance/risk guidelines around AI and data privacy.\nAbility to share information, transfer knowledge, and expertise to team members.\nAbility to work in a fast-paced environment with competing and alternating priorities with a constant focus on delivery.\nDomain Specific Skills\nVery Good knowledge of the following technologies and concepts is required:Programming: Strong Python and PySpark development skills.\nBig Data & ETL: Hands-on experience with Apache Spark, Hadoop, and designing robust ETL/ELT pipelines for processing large-scale datasets.\nCloud Platform: GCP (Google Cloud Platform) AI/ML and Data services (Vertex AI, BigQuery, Dataproc, Dataflow, Agent Builder, Document AI).\n Agentic AI & GenAI Frameworks: Gemini, Github Copilot, LangChain, LlamaIndex, AI frameworks for building multi-agent systems and RAG (Retrieval-Augmented Generation) pipelines.\nMachine Learning: Core ML/DL concepts, supervised/unsupervised learning, model fine-tuning, and evaluation metrics.\n Automation & Orchestration: Infrastructure as Code (Terraform) and Workflow orchestrators (Apache Airflow or Vertex AI Pipelines).\n\nGood to have:\nExperience with MLOps and DataOps practices (Model Registry, Feature Store, Model Monitoring, Data Quality frameworks).\nKnowledge of Vector Databases\nVery good Knowledge about core processes / tools such as HP ALM, Jira, ServiceNow, SDLC, and Agile processes.\n\nProven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.\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":6943,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"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":"2026-10-20T05:26:23Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":5,"expected_fill_days":20,"reasons":["conf:0","stale_co","win:early","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/deutsche-bank-senior-engineer-avp-3","json_url":"https://alion.io/job/deutsche-bank-senior-engineer-avp-3.json","meta":{"generated_at":"2026-10-20T13:25:09Z","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":14877,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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-senior-engineer-avp-3"},{"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-senior-engineer-avp-3"},{"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-senior-engineer-avp-3"},{"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-senior-engineer-avp-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeutsche-bank-senior-engineer-avp-3"}]}