HYDERABAD · FULLTIME
Lead AI Engineer
Wells Fargo
Hyderabad · onsite · Posted 68d ago
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Undisclosed5–10 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
About this role: Wells Fargo is seeking a Lead Software Engineer.
Responsibilities - Lead complex technology initiatives including those that are companywide with broad impact
- Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
- Design, code, test, debug, and document for projects and programs
- Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
- Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
- Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
- Lead projects, teams, or serve as a peer mentor
- 5+ years of Software Engineering experience, with strong expertise in designing and delivering enterprise-scale applications and platforms, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Bachelors or masters degree in computer science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong software engineering background with 5+ years of experience developing and delivering enterprise-scale applications, platforms, and distributed systems, with expert proficiency in Python, object-oriented design, design patterns, asynchronous programming, API development, automation, performance tuning, and debugging.
- Extensive experience in data engineering and large-scale data processing, including the design and implementation of scalable ETL/ELT pipelines, data ingestion frameworks, orchestration solutions, and transformation processes using technologies such as Spark, Pandas, Databricks, and other distributed computing platforms.
- Proven hands-on experience building production-grade Generative AI solutions, with at least 3+ years focused on LLM-based applications, utilizing GPT and enterprise LLMs, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Agentic AI, multi-agent systems, prompt engineering, embeddings, and semantic retrieval techniques.
- Demonstrated success designing and deploying enterprise AI applications, including AI assistants, copilots, intelligent chatbots, knowledge retrieval platforms, document intelligence systems, and AI-driven automation solutions that deliver measurable business value.
- Deep understanding of knowledge management and search architectures, including vector databases and retrieval technologies such as Pinecone, OpenSearch, FAISS, ChromaDB, Neo4j knowledge graphs, semantic search, NLP, and information retrieval frameworks.
- Strong experience building REST APIs, microservices, and cloud-native applications with scalable, secure architectures leveraging cloud platforms such as GCP and associated AI/ML services.
- Solid expertise in database technologies, including SQL, NoSQL, graph databases, data modeling, and enterprise data architecture principles.
- Strong understanding of modern software engineering practices, including CI/CD, DevOps, automated testing, code reviews, observability, security, Agile methodologies, AI/LLMOps, and production deployment frameworks.
- Demonstrate deep expertise in Python development, building scalable, high-performance applications, automation frameworks, APIs, and enterprise-grade solutions using modern software engineering principles.
- Design and implement robust data engineering and ETL pipelines leveraging Databricks, Spark, and distributed processing frameworks to ingest, transform, enrich, and manage large-scale structured and unstructured datasets.
- Architect and deliver Generative AI solutions using Large Language Models (LLMs), Agentic AI, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) frameworks to solve complex business challenges and enhance developer productivity.
- Develop and optimize knowledge retrieval platforms through semantic search, vector databases (Pinecone, OpenSearch, FAISS), Neo4j knowledge graphs, embeddings, and advanced information retrieval techniques.
- Build secure, scalable, and cloud-native enterprise AI applications including copilots, intelligent assistants, automation platforms, and document intelligence solutions using microservices, APIs, AI/LLMOps practices, CI/CD pipelines, and production deployment frameworks.
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Section · 02
Skills
AutomationAgileCI/CD Pipelinesai assistantscloud platformsapisautomated testingai engineerAsynchronouscloudArchitecturecomplianceAPI DevelopmentArtificial IntelligenceAutomation Solutions
Section · Company
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
Employee ratings
8,681 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.8
Employees rate it well for
Work Life Balance1417Work Culture906Senior Management755Salary707Job Security510
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