Gen AI - Senior Software Automation Engineer

About this role:
This Senior Software Engineer will help design, build, and evolve next-generation AI-powered operational platforms. In this role, you will drive the development of scalable microservices, agentic AI capabilities, integration frameworks, and automation solutions that enable intelligent incident triage, operational workflow automation, and self-service engineering experiences.
You will collaborate closely with platform engineers, product owners, SRE teams, architects and operational stakeholders to deliver secure, reliable and scalable solutions that improve engineering productivity and reduce operational toil.
Key Responsibilities
Design, develop, and maintain cloud-native applications, APIs, and microservices supporting the IPE platform.
Build scalable backend services using modern development frameworks and engineering best practices.
Develop reusable integration patterns for ServiceNow, observability platforms, knowledge repositories, databases, and enterprise systems.
Contribute to platform architecture, scalability, resiliency and performance improvements.
Develop AI-powered workflows leveraging enterprise LLM platforms, MCP integrations, vector search, and agent orchestration frameworks.
Build and enhance agent capabilities that support incident triage, root cause analysis, automation recommendations and operational insights.
Implement multi-agent orchestration patterns, intelligent routing and workflow execution capabilities.
Enhance AI governance, traceability, security controls and responsible AI implementation.
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:
Required Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Information Systems or related field.
4+ years of software engineering experience developing enterprise-scale applications and services.
Strong programming experience in one or more languages such as Python, TypeScript, JavaScript.
Experience designing and developing REST APIs, microservices and distributed systems.
Experience working with cloud-native technologies, containers and orchestration platforms (Kubernetes/OpenShift).
Experience with SQL and NoSQL databases.
Knowledge of CI/CD pipelines, source control, automated testing and DevOps practices.
Strong troubleshooting, debugging, and problem-solving skills.
Experience working within Agile development teams.
Ability to participate in production support, incident analysis and operational readiness activities.
Strong written and verbal communication skills with both technical and non-technical stakeholders.
Desired Qualifications:
Experience building AI/ML-enabled applications, Generative AI solutions, RAG architectures or agent-based systems.
Experience integrating with enterprise AI platforms, LLMs, vector databases and MCP-based ecosystems.
Experience with ServiceNow APIs, workflows, and enterprise automation platforms.
Working knowledge of SRE principles, operational excellence, incident management and reliability engineering.
Experience with observability and monitoring platforms such as
Experience designing event-driven architectures and messaging solutions (Kafka, RabbitMQ, etc.).
Experience with workflow orchestration and automation platforms.
Experience building highly available, scalable, and resilient enterprise platforms.
Posting End Date:
11 Sep 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.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
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b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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