2 months ago
Noida, IndiaSenior
Responsibilities
- Lead technical implementation and delivery of Analytics, AI, and GenAI solutions across multiple projects.
- Design and develop GenAI applications using Azure AI Foundry, Azure OpenAI, Azure AI Search, and related Azure services.
- Build RAG solutions, agent-based workflows, prompt orchestration frameworks, APIs, services, integrations, and cloud-native applications.
- Implement security, observability, monitoring, testing, scalability, performance, maintainability, and reliability capabilities.
- Translate architecture and functional requirements into technical designs and implementation plans.
- Establish development, coding, testing, and deployment standards; conduct code reviews and technical quality assessments.
- Support production readiness reviews, deployment planning, operational handoff, incident resolution, and root cause analysis.
- Contribute to architecture reviews, reusable platform capabilities, frameworks, components, development patterns, and DevOps practices.
- Guide and mentor engineers on architecture, coding, cloud technologies, GenAI development, and troubleshooting.
- Assist with technical interviews, candidate evaluations, onboarding, and team member development.
Requirements
- 10+ years of experience in software engineering, cloud engineering, analytics, AI, data engineering, or application development.
- 3+ years leading technical delivery teams or serving as a technical lead on enterprise cloud-native application and service projects.
- Hands-on Azure experience and experience delivering enterprise Analytics, AI, or GenAI solutions into production.
- Experience with Azure services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, and API Management.
- Experience delivering production GenAI solutions using prompt and RAG patterns, responsible AI controls and guardrails, AI orchestration, model lifecycle management, and secure AI integration.
- Strong Python development skills and experience building APIs, microservices, containerized applications, and cloud-native applications.
- Strong understanding of software architecture principles and design patterns.
- Experience with Docker, Kubernetes, front-end application development, modern application frameworks, test automation, monitoring and observability, production support, root cause analysis, and performance optimization.
- Experience working in Agile delivery environments, cross-functional teams, and global onshore/offshore delivery models.
- Bachelor’s or master’s degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.
- Strong written and verbal communication, problem-solving, analytical, stakeholder management, and technical leadership skills.
Tech Stack
Categories
About Conduent
Conduent provides digital business process and customer experience services for government agencies, healthcare organizations, transportation networks, and enterprises. Its offerings span payment processing, eligibility systems, tolling, claims administration, and HR/contact-center platforms, with revenue from long-term outsourcing, software, and transaction fees. Founded in 2017 as a Xerox spin-off, it is headquartered in Florham Park, New Jersey, and listed on Nasdaq as CNDT.