Senior Specialty Software Engineer - Gen AI
Wells Fargo · Hyderabad · onsite · Posted 1d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Required Qualifications
Desired Qualifications
Good to Have
Wells Fargo is seeking a Senior Software Engineer
Responsibilities
- Lead or participate in complex initiatives on selected domains
- Assure quality, security and compliance for supported systems and applications
- Serve as a technical resource in finding software solutions
- Review and evaluate user needs and determine requirements
- Provide technical support, advice, and consultation with the issues relating to supported applications
- Create test data and conduct interfaces and unit tests
- Design, code, test, debug and document programs using Agile development practices
- Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
- Conduct research and resolve problems in relation to processes and recommend solutions and process improvements
- Assist other individuals in advanced software development
- Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications
- 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications
- Architect and build a Valence (CIBX) agentic platform that allows business users to configure, deploy, and manage AI agents without deep technical expertise.
- Design and develop deep agents capable of multi-step planning, tool use, memory, and autonomous task execution (e.g., using frameworks like LangGraph, DeepAgents SDK, or similar).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for grounding agent responses in enterprise knowledge bases and documents.
- Integrate Generative AI / LLM capabilities (via internal or third-party model gateways) into scalable backend services.
- Design orchestration layers for routing, planning, task execution, and result aggregation across multiple specialized agents.
- Enable business teams to build agents for automation, analytics, insights, and predictive use cases with reusable templates and configuration-driven workflows.
- Define and implement MCP (Model Context Protocol) or similar tool-calling protocols to connect agents with enterprise systems and APIs.
- Ensure platform scalability, reliability, and observability (logging, monitoring, tracing) for production-grade agentic workloads.
- Collaborate with product, architecture, and business stakeholders to translate BAU pain points into agent-driven automation solutions.
- Mentor junior engineers and drive best practices in agentic system design, prompt engineering, and AI safety/guardrails.
- Contribute to CI/CD pipelines, containerization, and deployment strategy for the platform.
Good to Have
- Experience with OpenShift/Kubernetes for container orchestration and platform deployment.
- Familiarity with MongoDB or other NoSQL databases for state/checkpoint management.
- Exposure to enterprise authentication/authorization patterns (AD/SSO, RBAC).
- Experience with CI/CD tooling (GitHub Actions, Jenkins) and code quality tools (SonarQube).
- Prior experience in financial services / capital markets domain.
- Familiarity with MCP (Model Context Protocol) or similar
Sourced from naukri
Skills
AutomationAgileCI/CD Pipelinesagile developmentcode qualityapisapi designCircuit BreakerscheckpointAnalyticsAsynchronousasyncioCapital MarketsContainerbreakersArchitecturecomplianceArtificial IntelligenceAutomation Solutions
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.
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Financial Services
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