The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
- Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
- Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
- Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
- Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
- Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
- Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
- Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 6-10 years of relevant experience in Apps Development or systems analysis role
- Extensive experience system analysis and in programming of software applications
- Experience in managing and implementing successful projects
- Subject Matter Expert (SME) in at least one area of Applications Development
- Ability to adjust priorities quickly as circumstances dictate
- Demonstrated leadership and project management skills
- Consistently demonstrates clear and concise written and verbal communication
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Description: Senior GenAI Specialist - Finance (Pune, India)Role OverviewWe are seeking a highly skilled and passionate Senior GenAI Specialist with 8-10 years of experience to join our growing team in Pune, India. You will play a critical role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI and RLHF, within our financial operations. This role offers a unique opportunity to contribute to high-impact projects, leveraging your deep technical expertise in GenAI, LLMs (including Llama 3, and Llama 4, Gemini), RAG pipelines, vector databases, chatbot development, and the latest advancements in the field. Collaborate with engineers and stakeholders, driving innovation by applying GenAI to solve complex financial problems and shape the future of finance with AI.
Responsibilities- Design, develop, and implement sophisticated GenAI solutions for diverse financial applications, exploring advanced concepts like Agentic AI and RLHF.
- Design and implement intelligent chatbots for enhanced customer interaction and operational efficiency.
- Process and analyze massive datasets of structured and unstructured financial data, applying advanced techniques for feature engineering, data cleaning, and model training.
- Architect and implement highly efficient RAG pipelines, integrating LLMs with various data sources, including vector databases and knowledge graphs. Leverage tools like LlamaIndex and LangChain.
- Develop and refine advanced prompting strategies for LLMs, optimizing performance and ensuring high-quality, contextually relevant outputs using your deep understanding of prompt engineering.
- Thoroughly test, evaluate, and analyze the performance of various LLMs, including Llama 3 and Llama 4, and other GenAI models. Focus on LLM usage, implementation, and evaluation best practices.
- Collaborate closely with engineering teams to deploy and maintain GenAI models in production, championing MLOps and robust software engineering practices.
- Communicate effectively with business stakeholders, translating complex technical concepts into actionable insights.
- Continuously expand your GenAI expertise, staying at the forefront of research and development in areas like Agentic AI, multi-modal GenAI, and emerging trends.
- Master's degree or PhD in a relevant field.
- 8-10 years of experience in AI/ML development with a proven track record in GenAI.
- Deep understanding of GenAI models and architectures, including transformers, LLMs (Llama 3, Llama 4, Gemini, GPT-4), GANs, and diffusion models. Solid understanding of Agentic AI principles.
- Extensive experience in prompt engineering, fine-tuning LLMs, applying RLHF, and evaluating LLM performance. Proven ability to use, implement, and evaluate various LLMs.
- Expert-level Python skills and proficiency with relevant libraries (Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django).
- Experience with vector databases (Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with pgvector, Redis) and implementing RAG pipelines.
- Strong software engineering skills (containerization, CI/CD pipelines, cloud infrastructure management).
- Strong analytical, problem-solving, communication, and collaboration skills.
- Experience with MLOps principles and tools.
- Experience with large-scale datasets and distributed computing.
- Experience with financial data and applications (fraud detection, risk management, personalized advice).
- Strong understanding of financial markets and instruments.
- Familiarity with chatbot development frameworks and conversational AI design.
- Experience leading complex data science or AI/ML projects in an agile environment.
- Publications or presentations at AI/ML/GenAI conferences.
- Experience with data visualization and reporting tools (Tableau, Power BI, matplotlib, seaborn).
- Experience with SQL and NoSQL databases.
- Programming Languages: Python (expert proficiency), SQL
- Python Libraries: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, NetworkX, etc.
- Deep Learning Frameworks: TensorFlow, PyTorch, JAX
- LLMs: Llama 2, Llama 3, Llama 4, Gemini, GPT-4, other advanced LLMs.
- Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with pgvector, Redis, Milvus.
- Graph Databases: Neo4j, Amazon Neptune, or similar.
- Cloud Platforms: AWS, Azure, GCP
- MLOps Tools: MLflow, Kubeflow, Weights & Biases, or similar.
- Containerization: Docker, Kubernetes
- CI/CD: GitHub Actions, Jenkins, GitLab CI/CD, or similar.
- Version Control: Git
- Data Visualization: Tableau, Power BI, matplotlib, seaborn, Plotly.
- Databases: SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
Pune, India
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- Master's degree or PhD in a relevant field
- Bachelor's degree/University degree or equivalent experience
- 8-10 years of experience in AI/ML development with GenAI focus
- Extensive experience in prompt engineering, fine-tuning LLMs, and applying RLHF
- Deep understanding of GenAI models and architectures (transformers, LLMs, GANs, diffusion models); experience with Llama 2/3/4, Gemini, GPT-4
- Expert-level Python skills and proficiency with libraries (Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django)
- Experience designing and implementing RAG pipelines and working with vector databases (Pinecone, Weaviate, Chroma, Faiss, pgvector, Redis, Milvus)
- Strong software engineering skills: containerization (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, Jenkins, GitLab CI/CD), version control (Git)
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, Weights & Biases)
- Experience processing and modeling large-scale datasets and distributed computing
- Experience in applications development or systems analysis and programming (SME in at least one area)
- Demonstrated leadership, project management, and mentoring experience
- Strong written and verbal communication and stakeholder collaboration skills
- Experience with financial data and applications (fraud detection, risk management, personalized advice)
- Familiarity with chatbot development frameworks and conversational AI design
- Publications or presentations at AI/ML/GenAI conferences
- Experience with data visualization and reporting tools (Tableau, Power BI, matplotlib, seaborn, Plotly)
- Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra)
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Health coverage is presented as comprehensive, including free in-network preventive care, mental-health resources, and the Be Well Program. Materials also state new hires have access to health and insurance benefits from the outset.
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Retirement Support — The retirement plan offers a $1-for-$1 match up to 6% of eligible pay. New employees are eligible for the plan, with automatic enrollment after 90 days if they do not enroll themselves.
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Inclusive Benefits Coverage — Benefits highlight fertility treatment coverage, adoption/surrogacy reimbursement up to $30,000, and disability coverage. Coverage extends to spouses and domestic partners regardless of gender identity or sexuality, with gender-affirming care-related support noted.
Citi Insights
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