AI ML Agent Engineer

AI ML Agent Engineer Job Overview We are seeking an exceptionally skilled and highly independent Lead AI/ML Agent Engineer at the C12 level to drive innovation within our KYC (Know Your Customer) Technology division. This role demands an individual with deep expertise in Artificial Intelligence and Machine Learning, specifically in the context of financial crime prevention, regulatory compliance, and operational efficiency. The successful candidate will be instrumental in conceptualizing, designing, and implementing advanced AI Agents and ML solutions that streamline and enhance our KYC processes, working hands‑on with the latest technologies to deliver impactful results. Responsibilities Strategic AI Agent Development: Lead the strategy, design, and end-to-end development of intelligent AI Agents and machine learning models aimed at significantly improving operational efficiency and accuracy within KYC processes (e.g., client onboarding, due diligence, transaction monitoring). Independent Solution Delivery: Take full ownership of complex AI/ML initiatives from ideation to production, managing all aspects of project lifecycle independently, including requirements gathering, technical design, development, testing, deployment, and ongoing optimization within the KYC domain. Hands‑on AI/ML Agent Engineering: Apply extensive hands‑on experience in building, training, and deploying large-scale AI/ML models and autonomous agents. This includes expertise in data ingestion, feature engineering, model selection, hyperparameter tuning, and robust MLOps practices tailored for highly regulated financial environments. KYC‑Specific AI/ML Expertise: Act as a subject matter expert in applying AI/ML techniques relevant to KYC, such as Natural Language Processing (NLP) for document understanding, entity resolution, anomaly detection for suspicious activity, knowledge graph construction for complex relationships, and advanced pattern recognition. Technology & Tooling Leadership: Continuously evaluate, prototype, and integrate emerging AI/ML frameworks, agent orchestration platforms, and cloud‑based AI services (e.g., specialized NLP libraries, graph databases, explainable AI tools) to maintain a state‑of‑the‑art KYC technology landscape. Secure & Scalable Architecture: Design and implement highly scalable, secure, and resilient AI Agent architectures that adhere to stringent regulatory requirements and integrate seamlessly with existing KYC and enterprise systems. Mentorship & Best Practices: Provide expert guidance and mentorship to engineering teams, fostering advanced AI/ML capabilities, promoting best practices in agent development, and ensuring adherence to compliance and ethical AI principles. Cross‑Functional Collaboration: Partner closely with KYC Operations, Compliance, Risk Management, and other technology teams to translate complex business and regulatory challenges into effective, data‑driven AI Agent solutions. Explainable & Compliant AI: Ensure all developed AI Agents and ML models are transparent, explainable, and fully compliant with global financial regulations, actively participating in model validation and governance processes. Qualifications Education: Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Experience: 10+ years of progressive experience in AI/ML engineering, with a significant portion dedicated to financial services, FinTech, or regulatory technology, particularly in KYC or financial crime. Proven track record of designing, developing, and deploying AI Agents or similar intelligent automation solutions that deliver demonstrable operational efficiencies. Expert‑level proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, SpaCy, Hugging Face, Scikit‑learn). Extensive hands‑on experience with MLOps platforms and CI/CD pipelines for managing the lifecycle of AI/ML models in a regulated environment. Deep understanding of data governance, data privacy, and security best practices for AI/ML systems handling sensitive financial data. Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud platforms (AWS, Azure) for large‑scale data processing and model deployment. Familiarity with containerization (Docker) and orchestration (Kubernetes). Skills: Profound understanding of KYC processes, anti‑money laundering (AML) regulations, and financial crime prevention. Exceptional analytical and problem‑solving skills, with the ability to tackle complex, ambiguous problems in a highly regulated domain. Demonstrated ability to work independently, prioritize effectively, and drive projects to completion with minimal supervision. Excellent communication skills, capable of articulating complex technical concepts to both technical and non‑technical stakeholders, including senior leadership and regulatory bodies. A strong commitment to ethical AI, model explainability, and continuous learning in the rapidly evolving AI/ML landscape. This is a critical role for an expert who is passionate about leveraging AI and ML to transform KYC processes, enhance compliance, and deliver significant operational impact within a leading financial institution. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 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