Senior Software Engineer - Gen AI

Job Title: Senior Software Engineer - Gen AI Company: Wells Fargo Job Category: Data Science Roles & Responsibilities: About this role: 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 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. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: KA, India Availability: Full time

Required Qualifications: * 4\+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: * Proficiency in Python, Java Script, AJAX, jQuery, Angular/React * knowledge \& AI frameworks (like: LangChain, LangGraph * Experience with ML libraries and frameworks like: TensorFlow, PyTorch. Hands on experience in building or training models, tuning hyperparameters. * Experience in Generative AI technologies like Retrieval\-Augmented Generation (RAG) – end\-to\-end pipelines (Vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise. * Deep understanding of microservice based distributed architecture, cloud platforms (AWS, Azure \& GCP), and infrastructure\-as\-code. * Strong background in Data Science and Analysis: Ability to process, clean and analyse data using statistical techniques to derive actionable insights. Knowledge of data processing tools like Hadoop, Spark * Ability to deal in solving complex problems with ambiguous requirements, spot emerging tech trends and drive Proof of concepts or pilot solutions * Well versed in Agile development strategies and ceremonies, Test Driven Development \& DevOps practices. * Experience in leveraging Rest/SOAP Web\-APIs for integrations. * Experience in using enterprise\-wide tooling for CICD: Harness, Jenkins. * Expertise in enterprise tools like: Ansible \& observability tools (e.g., Prometheus, Grafana, ELK, Datadog), Incident Management tools like Service Now. * Self\-motivated with genuine curiosity to stay ahead of the curve by engaging in continuous learning through courses, certifications and research papers. To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Wells Fargo Recruitment and Hiring Requirements: b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Key Skills: Data Science, Python Salary: Not disclosed