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
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Job Family:
Digital Software Engineering
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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