Software Engineer, Sr. Consultant - Fullstack GenAI Enablement

Qualifications

• Basic Qualifications • 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, or related field. • 8+ years of software engineering experience; 2+ years leading or mentoring engineers. • Worked with Agile SDLC process and SAFE agile environment in distributed teams Hands-on experience with: • LLM frameworks (LangGraph, LangChain, Haystack, AWS Bedrock GenAI tools) • Python backend development (FastAPI strongly preferred) • Frontend development (React + TypeScript) • Vector databases (FAISS, Pinecone, Weaviate, OpenSearch, etc.) • Agile Frameworks like SAFE, GitHub / Bitbucket, Jira, ServiceNow, Wiki, CI/CD automation pipelines involving Jenkins • Proven experience shipping products on AWS (Lambda, ECS/EKS, S3, API Gateway, Bedrock, SageMaker). • Strong understanding of distributed systems, microservices, and API design. • Experience implementing RAG at scale using internal or cloud-based vector stores. • Experience with Databricks/Spark pipelines, MLFlow, or modern MLOps tools. • Familiarity with event-driven messaging systems (Kafka, Kinesis). • Background in payments, risk, fraud analytics, or regulated financial systems. • Experience creating developer tooling or reusable frameworks for broader engineering teams. • Soft Skills • Excellent communication, ability to simplify complex AI concepts. • Leadership presence with hands-on technical credibility. • Ability to collaborate in a matrixed global organization. • Passion for innovation and continuous exploration of emerging GenAI capabilities. • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa