The Digital S/W Engineer Sr Mgr accomplishes results through the management of professional team(s) and department(s). Responsible for Design and implementation of cutting-edge AI/ML solutions that power intelligent, multilingual digital experiences across customer-facing and operational platforms. Requires broad full-stack engineering expertise with deep specialization in AI/ML with an ability to build and optimize LLM-powered workflows, agentic AI systems, and machine learning models to enable natural language understanding, intelligent automation, and personalized self-service, bridging intelligent systems with enterprise-grade digital platforms across millions of interactions spanning multiple languages. Full management responsibility of a team, which may include management of people, budget and planning and duties such as performance Evaluation.
Key Responsibilities
- Lead the design and development of scalable, enterprise-grade conversational AI and agentic systems for real-time customer interaction use cases
- Build and optimize AI/ML solutions including LLM-powered workflows
- Develop and implement RAG pipelines and knowledge-based AI integrations
- Design and deploy multi-agent systems for complex business use cases
- Apply prompt engineering and optimize LLM performance, cost, and accuracy
- Build intelligent automation solutions for customer journeys and digital workflows
- Integrate AI capabilities into existing enterprise platforms and architectures
- Collaborate with cross-functional teams to deliver end-to-end solutions
- Ensure system scalability, reliability, and performance in production environments
- Drive best practices in architecture, coding standards, and AI implementation
Required Skills & Experience
- 11–16 years of experience in application development or enterprise engineering roles
- Strong hands-on expertise in Java, Microservices, and REST APIs
- Expert-level proficiency in Python (mandatory)
- 2+ years of hands-on experience with AI/ML, LLMs (e.g., GPT, Claude, Gemini)
- Experience with RAG, prompt engineering, and vector databases
- Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
- Full-stack development experience with modern frontend frameworks (e.g., React.js/Angular)
- Strong understanding of system design, distributed systems, and cloud platforms
- Experience with SQL/NoSQL databases and real-time data processing
- Exposure to MLOps practices including deployment, monitoring, and lifecycle management
Good to Have
- Experience in Financial Services / Banking domain
- Exposure to recommendation systems, personalization, or conversational AI
- Knowledge of customer journey analytics, sentiment analysis, or automation workflows
- Experience working in product-based or large-scale enterprise environments
Role Type
- Individual Contributor (Hands-on)
- High ownership role with cross-functional collaboration
What We’re Looking For
- Strong technologist with the ability to bridge traditional engineering and AI
- Hands-on problem solver with a product mindset
- Ability to work in a fast-evolving AI landscape and drive innovation
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Job Family Group: Technology------------------------------------------------------
Job Family:Digital Software Engineering------------------------------------------------------
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.------------------------------------------------------
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Skills Required
- 11 - 16 years of experience in application development or enterprise engineering roles
- Strong hands-on expertise in Java, Microservices, and REST APIs
- Expert-level proficiency in Python
- 2+ years of hands-on experience with AI/ML, LLMs (e.g., GPT, Claude, Gemini)
- Experience with RAG, prompt engineering, and vector databases
- Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
- Full-stack development experience with modern frontend frameworks (e.g., React.js/Angular)
- Strong understanding of system design, distributed systems, and cloud platforms
- Experience with SQL/NoSQL databases and real-time data processing
- Exposure to MLOps practices including deployment, monitoring, and lifecycle management
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 — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
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 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.








