19 days ago
Base Salary
$107k - $161k/yr
Responsibilities
- Lead the design, development, and implementation of Generative AI, Agentic AI, and AI assistant solutions.
- Architect end-to-end AI systems using Python machine learning workflows and Java enterprise backend services.
- Develop, fine-tune, optimize, and deploy large language models using parameter-efficient and full fine-tuning techniques.
- Build agentic systems with autonomous decision-making capabilities and production-ready RAG solutions.
- Own AI model and service deployment pipelines using Docker, Kubernetes, cloud platforms, and automated release practices.
- Design efficient SQL and NoSQL data storage, retrieval, and management strategies.
- Manage application development teams, perform personnel duties, and provide technical oversight across systems and applications.
- Establish engineering best practices, architectural patterns, tooling standards, observability practices, and cost-efficiency measures.
- Ensure adherence to ethical AI, data privacy, compliance, and enterprise security standards.
Requirements
- Expert Python proficiency for AI/ML development, including Pandas and NumPy, and strong Java proficiency for enterprise application development.
- Experience with Generative AI, Agentic AI, AI assistant tools, LLMs, fine-tuning, model optimization, prompt engineering, and RAG systems.
- Experience with PyTorch, TensorFlow, Keras, distributed training, NLP, transfer learning, and advanced learning paradigms.
- Familiarity with LoRA, QLoRA, Adapter/Prefix Tuning, instruction tuning, DeepSpeed, vLLM, GPTQ, LangChain, LlamaIndex, Hugging Face, OpenAI, Gemini, Claude, and AWS Bedrock.
- Experience with SQL and NoSQL databases, including schema design, query optimization, and application integration.
- Hands-on experience with at least one of AWS, Azure, or GCP and with Docker, Kubernetes, or OpenShift.
- Experience with CI/CD pipelines, automated testing, infrastructure as code, configuration management, and production monitoring, logging, and alerting.
- Understanding of AI compliance, guardrails, Responsible AI practices, and enterprise security standards.
- 5-8 years of experience in a product development or product management environment, with experience leading infrastructure programs and large culture change preferred.
- Strong analytical, quantitative, communication, collaboration, and third-party service provider management skills.
- Bachelor's/university degree or equivalent experience.
Benefits
- Full-time role based in Irving, Texas.
- Medical, dental, and vision coverage.
- 401(k), life, accident, and disability insurance.
- Wellness programs.
- Paid vacation, sick leave, and holidays.
- Eligible employees may receive discretionary and formulaic incentive and retention awards.
Tech Stack
Amazon DynamoDBApache CassandraAWSAzureDockerGoogle Cloud PlatformJavaKerasKubernetesMongoDBMySQLNumPyOpenShiftPandasPostgreSQLPythonPyTorchSpring BootTensorFlow
Categories
About Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities. For information on Citi’s commitment to privacy, visit on.citi/privacy.