Wells Fargo is seeking a highly skilled Principal Engineer within the Martech team to support enterprise marketing decisioning, workflow automation, and lead the transformation of Martech Stack to an AI native agentic solution. This role is an opportunity to help lead the design, development, and modernization of mission-critical platforms using Pega PRPC, Pega Customer Decision Hub, cloud/on-prem enterprise systems, and modern AI capabilities including Generative AI, Agentic AI, Large Language Models, RAG, and AI orchestration frameworks.
Lead design, development, testing, deployment, and support of enterprise applications using Pega PRPC / Pega Platform and Pega Customer Decision Hub
Design and implement AI and Agentic AI solutions using Generative AI, LLMs, RAG patterns, prompt engineering, semantic search, tool calling, and AI orchestration frameworks
Build agent-based workflows using LangGraph, LangChain, or equivalent orchestration patterns to support enterprise automation and intelligent decisioning use cases
Develop RAG-based solutions by integrating enterprise knowledge sources, embeddings, vector databases, retrieval logic, grounding patterns, and response generation workflows
Integrate Pega, AI agents, LLM services, APIs, data platforms, and enterprise systems using secure REST services, connectors, authentication patterns, and data integration standards
Design and develop reusable components, backend services, APIs, automation utilities, and intelligent workflows using Python, Java, or equivalent programming languages
Implement AI engineering best practices including prompt management, context handling, model evaluation, output validation, observability, error handling, and human-in-the-loop review patterns
Translate business, decisioning, workflow, and AI automation requirements into scalable, secure, maintainable, and compliant engineering solutions
Troubleshoot complex issues across Pega applications, AI workflows, RAG pipelines, APIs, data integrations, performance, security, and infrastructure layers
Partner with architects, product owners, business stakeholders, risk, compliance, cybersecurity, data, and infrastructure teams to deliver secure and governed technology solutions
Ensure solutions align with Pega guardrails, AI governance expectations, secure coding practices, audit requirements, risk controls, and change-management standards
Mentor engineers, influence technical decisions, and promote engineering best practices across all delivery, AI engineering, and enterprise integration workstreams
Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Pega Lead System Architect certification
GCP, AWS, or Azure beginner/foundational certification
Experience building AI-enabled solutions using RAG, LangGraph, LangChain, vector databases, agent workflows, tool calling, or human-in-the-loop patterns
Experience with CI/CD pipelines, automated deployments, version control, Kubernetes, OpenShift, Docker, Helm, or equivalent platforms
Experience working in financial services, banking, risk, compliance, audit, marketing technology, or regulated enterprise environments
Strong communication skills with the ability to mentor engineers, influence technical direction, and partner across technology, business, risk, and compliance teams
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
