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Tech Stack
Tools & technologiesCloudDockerKerasKubernetesPythonPyTorchSeleniumTensorflow
About the role
Key responsibilities & impact- Lead applications systems analysis, design, and programming activities in alignment with Citi’s enterprise architecture
- Partner with multiple management teams to integrate systems, deploy new products, and enable process improvements
- Resolve high-impact, complex problems through deep analysis of business processes, system flows, and industry standards
- Establish standards for coding, testing, debugging, and implementation
- Develop a strong understanding of how architecture, infrastructure, and applications integrate to achieve business goals
- Provide technical mentorship and coaching to mid-level developers and analysts; allocate work as needed
- Assess and manage risk in all technical and business decisions, ensuring compliance with laws, regulations, internal policies, and ethical standards
- Design and implement AI-powered testing solutions
- Develop and optimize LLM-based tools for test data generation and scenario creation
- Embed generative AI capabilities into existing automation frameworks
- Support deployment, scalability, monitoring, and optimization of AI models in production environments
- Stay current with emerging trends in generative AI and test automation; evangelize best practices across the organization
Requirements
What you’ll need- 6+ years of relevant experience in applications development or systems analysis
- Extensive experience in systems analysis and software application development
- Proven success leading and delivering complex projects
- Subject Matter Expert (SME) in at least one area of applications development
- Demonstrated leadership, adaptability, and project management skills
- Consistently strong written and verbal communication skills
- Strong hands-on experience with LLM development, fine-tuning, and optimization
- Expertise in RAG systems, hybrid search, and vector retrieval
- Proficiency with ML frameworks such as PyTorch, TensorFlow, and Keras, including distributed training
- Experience with GenAI tools and libraries including LangChain, LlamaIndex, LangGraph, Crew.ai, Autogen, Hugging Face, and cloud GenAI APIs (e.g., OpenAI, Claude, Gemini)
- Strong understanding of test automation frameworks (Selenium, Playwright)
- Experience integrating AI capabilities into testing pipelines (AI-generated tests, self-healing scripts, test impact analysis)
- Solid knowledge of CI/CD systems with a focus on continuous testing
- Familiarity with QA methodologies, test strategy, functional and non-functional testing, and quality metrics
- Advanced Python skills for automation tooling, data preprocessing, API development, and AI workflows
- Experience with containerization and deployment technologies (Docker, Kubernetes)
- Practical knowledge of model optimization techniques
- Strong understanding of AI governance, model guardrails, testing risk frameworks, and Responsible AI practices
- Excellent collaboration and communication skills, with the ability to explain AI-driven testing strategies to both technical and non-technical audiences
- Analytical, proactive mindset with a passion for experimentation, innovation, and mentoring
Benefits
Comp & perks- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
applications developmentsystems analysisLLM developmenttest automation frameworksPythonmodel optimizationAI capabilities integrationCI/CD systemscontainerizationcoding standards
Soft Skills
leadershipadaptabilityproject managementcommunicationmentoringanalytical mindsetcollaborationproblem-solvinginnovationcoaching
