Principal Engineer (AI) for Database Technology
Wells Fargo16 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Advise leadership and influence enterprise applications, database, operating system, network, information security, and web technology strategies.
- Lead resolution of complex enterprise technology challenges and deliver long-term, large-scale solutions.
- Define AI and technology strategy, target-state architecture, roadmaps, standards, reusable patterns, and governance models.
- Design and deliver enterprise-scale AI platforms, services, APIs, orchestration frameworks, developer toolkits, and reference architectures.
- Architect and deploy production-grade AI/ML, GenAI, LLM, RAG, agentic, and intelligent automation solutions.
- Lead architecture governance, design reviews, engineering guidance, mentoring, and thought leadership for engineers and architects.
- Evaluate AI technologies, frameworks, vendors, build-versus-buy options, scalability, cost, and operational readiness.
- Partner with executives, business stakeholders, cybersecurity, risk, compliance, governance, data engineering, and application teams on enterprise transformation.
- Implement responsible AI, model risk management, privacy, security, regulatory compliance, data protection, and operational risk controls.
- Establish LLMOps/MLOps practices including model lifecycle management, evaluation, monitoring, drift detection, guardrails, and automated deployment.
Requirements
- At least 7 years of engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- At least 7 years of technology experience in software engineering, enterprise architecture, platform engineering, database technology, machine learning, or AI-led transformation.
- At least 7 years of architecture and technical leadership experience defining technology strategy, target-state architecture, roadmaps, standards, and reusable patterns for large enterprise platforms.
- At least 3 years of hands-on AI/ML, Generative AI, or intelligent automation experience delivering production-grade AI solutions.
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical discipline.
- Strong expertise in Generative AI, Agentic AI, machine learning, LLM applications, RAG, AI agents, knowledge systems, prompt engineering, model evaluation, and intelligent workflow automation.
- Experience with AI/ML and GenAI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, Hugging Face, MLflow, TensorFlow, or PyTorch.
- Experience with cloud AI services and platforms such as Devin AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Kubernetes, or OpenShift.
- Experience implementing multi-agent systems, agent orchestration, workflow automation, tool or function calling, memory management, contextual retrieval, and human-in-the-loop controls.
- Strong understanding of cloud-native architecture, distributed systems, data platforms, API design, microservices, observability, scalability, reliability, and production deployment.
- Experience with AI governance, responsible AI, model risk management, privacy, security, regulatory compliance, ethical AI, and data protection.
- Experience with cybersecurity architecture, identity and access management, secrets management, encryption, secure SDLC, vulnerability management, and threat modeling.
- Experience with enterprise knowledge management, semantic search, vector databases, embeddings, metadata enrichment, data lineage, and retrieval optimization.
- Experience leading complex cross-functional initiatives, innovation programs, proofs of concept, technology incubations, hackathons, or AI transformation programs.
- Strong vendor management, communication, influencing, storytelling, mentoring, and executive-partnership skills.
- Knowledge of Oracle, PostgreSQL, and MongoDB database platforms and experience in regulated industries are preferred.
Benefits
- Equal opportunity employment with consideration for legally protected characteristics.
- Accommodation is available for applicants with disabilities upon request.
- Drug-free workplace.
- Posting end date is September 17, 2026, though the posting may close early due to applicant volume.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.