About this role Wells Fargo is seeking a Lead Software Engineer The COO Technology group provides technology services for the Chief Operating Office This includesoperations control executives strategic execution business continuity and resiliency data solutions andservices regulatory relations customer experience enterprise shared services supply chain management andthe corporate properties group COO Technology provides technology solutions and manages application portfolios for these groups to support modernization and optimization Within COO Technology we are seeking a Lead Software Engineer - Generative AI - whose role is essential forexecuting strategic vision and driving concrete results TheGenerative AI Teamis building next-generation autonomous workflow automation that transforms business processes through intelligent agent orchestration knowledge extraction and real-time observability We re seeking aLead Software Engineer - Generative AIto architect complex agentic systems build scalable ETL pipelines and mentor team members on GenAI best practices Our platform s unique value lies in Agentic AI Orchestration Multi-agent workflows using Google ADK Sequential Parallel Loop patterns with built-in validation Up-to-date ETL Pipelines Data transformation for video content clustering and knowledge extraction Knowledge Graph Intelligence Graph databases with semantic embeddings for intelligent task replication LLM Framework Integration Google Gemini LiteLLM routing LangChain LlamaIndex orchestration with prompt caching and function calling Observability-First Design Real-time metrics correlation tracking and audit trails via OpenTelemetry Splunk or Arize Phoenix In this role you ll own end-to-end implementation of agentic AI features establish patterns for knowledge extraction ETL pipelines and help define technical standards across the team In this role you will Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design code test debug and document for projects and programs associated with technology domain including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function policies procedures or compliance requirements Collaborate and consult with peers colleagues and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point provide guidance and direction to less experienced staff Required Qualifications 5 years of Software Engineering experience or equivalent demonstrated through one or a combination of the following work experience training military experience education Additional Required Qualification 5 yearsof Software Engineering experience with2 yearsin GenAI AI systems implementation 2 yearshands-on experience withPython 3 12 and modern AI ML frameworks LLM Frameworks LangChain LlamaIndex or AutoGen Agent Platforms Google ADK Crew AI or similar LLM APIs Google Gemini OpenAI Claude or LiteLLM 2 yearsdesigning and implementingmulti-agent systemsor agentic AI workflows 2 yearsdirect hands-on experience withLarge Language Models LLM selection prompt engineering model routing parameter tuning function calling ExperiencewithETL pipeline development data transformation validation orchestration Experiencewithsemantic search and embeddings vector databases Pinecone Weaviate ChromaDB embedding models similarity search Experiencewithclustering algorithms K-means DBSCAN hierarchical clustering and pattern recognition Cloud platform experience Google Cloud AWS or Azure with focus on AI ML services 3 yearswithCI CD DevOps tools Git automated testing deployment pipelines container basics Experience withasync Python patterns asyncio async await concurrent patterns Strong experience withdatabase design SQL NoSQL graph databases repository patterns transaction management Strong problem-solving skills with attention to detail and quality Desired Qualifications Software Engineering Python 3 12 with async await type hints modern frameworks Database Design SQL NoSQL graph databases transaction management ORM frameworks Observability DevOps Observability Architecture OpenTelemetry Splunk Arize Phoenix Prometheus metrics CI CD Deployment Automated testing deployment pipelines container orchestration basics Cloud Platforms Google Cloud AWS or Azure AI ML services focus Quality Security Test-Driven Development Contract testing integration testing unit testing Secure Development Data redaction secure credential management audit logging Performance Optimization Inference tuning ETL performance profiling cost optimization Preferred Experience Level 3-5 yearsat mid-level positions Senior IC roles with architecture exposure Deep technical expertisewith ability to own complex features end-to-end Self-sufficientin implementation with minimal guidance Mentorship capabilitywith proven track record of helping junior engineers grow Communication skillsto explain complex concepts to technical and non-technical stakeholders Job Expectations Technical Implementation Ownership Design and implement multi-agent workflow systems usingGoogle ADKsupporting complex business processes sequential execution parallel branches iterative loops Own end-to-end implementation of GenAI features from architecture to production deployment Build robust agentic AI systems usingPython 3 12 Google ADK LangChain LlamaIndex and modern frameworks with robust testing discipline Architect ETL pipelines usingLLMsfor transforming raw video content into structured knowledge representations Implementsemantic search and clusteringusing Scikit-learn FAISS or Pinecone for workflow pattern identification Buildknowledge graph systems for capturing task dependencies and semantic relationships OptimizeLLM inferencewith prompt caching function calling batch processing and LiteLLM routing strategies Implement secure CI CD pipelines for AI model deployment with comprehensive automated testing for agent behavior validation Architect and integrate observability instrumentation into agent execution lifecycle Optimize AI inference performance manage costs and tune model parameters temperature top p seed for production workloads ETL Pipeline Data Engineering Design scalable ETL pipelines for video metadata extraction clustering and knowledge graph construction Buildfeature engineering pipelinesfor embedding generation Implementstreaming data pipelineswith Apache Kafka or Redis for real-time knowledge updates LLM Integration Prompt Engineering ArchitectLLM routing systemsusing LiteLLM with fallback patterns and cost optimization Implementprompt caching strategiesfor efficient API usage across multi-turn conversations Buildfunction calling frameworksfor agent tool invocation with proper type validation IntegrateRAG Retrieval Augmented Generation systems with knowledge graphs and vector databases Implementchain-of-thoughtprompting andmulti-turn conversationmanagement with LLMs Designoutput validation pipelinesusing structured outputs and LLM guardrails Architecture Design Decisions Lead technical design discussions for agentic AI features and knowledge extraction pipelines Evaluate and recommend AI frameworks Google ADK AutoGen LangChain LlamaIndex Crew AI Design scalable database schemas and knowledge graph models Contribute to architectural decisions ensuring reliability security and scalability Posting End Date 3 Feb 2026 Job posting may come down early due to volume of applicants We Value Equal Opportunity Wells Fargo is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other legally protected characteristic Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company They are accountable for execution of all applicable risk programs Credit Market Financial Crimes Operational Regulatory Compliance which includes effectively following and adhering to applicable Wells Fargo policies and procedures appropriately fulfilling risk and compliance obligations timely and effective escalation and remediation of issues and making sound risk decisions There is emphasis on proactive monitoring governance risk identification and escalation as well as making sound risk decisions commensurate with the business unit s risk appetite and all risk and compliance program requirements Candidates applying to job openings posted in Canada Applications for employment are encouraged from all qualified candidates including women persons with disabilities aboriginal peoples and visible minorities Accommodation for applicants with disabilities is available upon request in connection with the recruitment process Applicants with Disabilities To request a medical accommodation during the application or interview process visit Disability Inclusion at Wells Fargo Drug and Alcohol Policy Wells Fargo maintains a drug free workplace Please see our Drug and Alcohol Policy to learn more Wells Fargo Recruitment and Hiring Requirements a Third-Party recordings are prohibited unless authorized by Wells Fargo b Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

📌 Python And Gen Ai Engineer - Lead Software Engineer (Telangana)
🏢 Wells Fargo
📍 Telangana