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.
- Design and implement Retrieval Augmented Generation solutions, agent-based workflows, prompt orchestration frameworks, and AI-enabled business applications.
- Build scalable APIs, services, integrations, containerized applications, and cloud-native solutions supporting AI capabilities.
- Implement application security, observability, monitoring, testing, production readiness, deployment planning, operational handoff, and incident-resolution capabilities.
- Translate architecture and functional requirements into technical designs and implementation plans.
- Partner with architects and product leaders to align solutions with enterprise architecture and platform standards.
- Establish development, coding, testing, deployment, and DevOps standards; conduct code reviews and technical quality assessments.
- Ensure solutions meet scalability, performance, security, maintainability, and reliability requirements.
- Contribute to architecture reviews, reusable platform capabilities, frameworks, components, development patterns, and accelerators.
- Guide and mentor engineers on architecture, coding practices, cloud technologies, GenAI development, and troubleshooting.
- Support onboarding, engineer development, technical interviews, and candidate evaluations.
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 projects delivering cloud-native applications and services.
- Hands-on Azure experience and experience delivering enterprise Analytics, AI, or GenAI solutions into production.
- Experience with Azure App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar Azure components.
- Experience delivering production GenAI solutions using prompt and RAG patterns, responsible AI controls and guardrails, AI orchestration, AI/ML model lifecycle management, and secure AI integration.
- Strong Python development skills and experience building REST APIs, microservices, and cloud-native applications.
- Strong understanding of software architecture principles and design patterns.
- Experience building containerized applications with Docker and Kubernetes.
- Familiarity with front-end application development and modern application frameworks.
- Experience with CI/CD pipelines, Infrastructure-as-Code, 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.
- Strong written and verbal communication, problem-solving, analytical, stakeholder-management, and technical leadership skills.
- Bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.
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.