Engineering Manager - .Net & Generative AI
First seen by Alion on Oct 27, 2026.
Engineering Manager - .NET & AI/GenAI
Experience : 12 - 18 Years
Location : Gurugram / Delhi NCR
Employment Type : Full-time
About the Role :
We are seeking an experienced Engineering Manager - .NET & AI/GenAI to lead engineering teams, own product architecture, define technical roadmaps, and drive the development of scalable enterprise software platforms.
The ideal candidate will bring deep hands-on expertise in C# and .NET Core, strong architectural leadership, and practical experience integrating AI/Generative AI capabilities into enterprise applications.
This role requires a technology leader who can translate product vision into engineering strategy, make critical architectural decisions, and build secure, scalable, cloud-native solutions while exploring AI-driven product innovation.
Key Responsibilities :
- Own end-to-end product architecture and long-term technical roadmaps for enterprise software platforms.
- Translate business and product requirements into technical strategy, architecture decisions, and implementation plans.
- Design and evolve scalable applications using C#, .NET Core, ASP.NET Core, microservices, and distributed systems.
- Identify opportunities to integrate AI/GenAI capabilities into existing products and new software solutions.
- Architect AI-enabled applications using LLM APIs, RAG pipelines, AI agents, and enterprise AI services where appropriate.
- Lead architecture reviews, system design discussions, technology selection, and engineering standards.
- Drive legacy modernization, monolith-to-microservices migration, performance optimization, and platform scalability.
- Collaborate with Product, DevOps, QA, Data/AI teams, and senior leadership to align technology investments with business goals.
- Lead, mentor, and develop engineering teams, promoting technical excellence and accountability.
- Ensure software quality through code reviews, automated testing, CI/CD, security practices, and observability.
- Evaluate emerging technologies and AI-assisted engineering tools to improve developer productivity and delivery efficiency.
Required Technical Skills :
- Strong hands-on expertise in C#, .NET Core, ASP.NET Core, and modern .NET.
- Proven experience designing end-to-end product architecture and enterprise application solutions.
- Strong understanding of microservices, distributed systems, REST APIs, event-driven architecture, and system design.
- Expertise in SOLID principles, design patterns, clean architecture, and scalable application development.
- Experience with Microsoft Azure and/or AWS cloud architecture.
- Strong database design and optimization skills using SQL Server or equivalent relational databases.
- Experience with messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus.
- Knowledge of Docker, Kubernetes, CI/CD pipelines, automated testing, and DevOps practices.
AI / Generative AI Capabilities :
- Practical experience integrating AI/GenAI capabilities into enterprise applications or software products.
- Familiarity with LLM APIs and services such as Azure OpenAI, OpenAI, or equivalent platforms.
- Understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.
- Knowledge of AI agents, tool/function calling, workflow orchestration, and enterprise AI integrations.
- Ability to assess AI use cases based on business value, technical feasibility, cost, security, and scalability.
- Understanding of responsible AI implementation, data privacy, access control, monitoring, and evaluation of AI outputs.
- Experience with AI-assisted development tools such as GitHub Copilot, Claude, or equivalent is an advantage.
Architecture & Technical Strategy :
- Demonstrated ownership of technical roadmaps and long-term engineering initiatives.
- Ability to translate product vision into architecture, technology choices, and executable engineering plans.
- Experience defining architecture standards across multiple services, modules, or products.
- Ability to evaluate trade-offs involving performance, scalability, security, maintainability, cost, and reliability.
- Experience modernizing legacy enterprise platforms and introducing new technologies without compromising system stability.
Engineering Leadership :
- Proven experience leading and mentoring software engineering teams.
- Ability to guide senior engineers and make high-impact technical decisions.
- Strong stakeholder management, communication, and problem-solving skills.
- Experience in engineering planning, prioritization, delivery governance, and cross-functional collaboration.
- Experience with hiring, performance reviews, and career development is an advantage.
Experience & Qualifications :
- 12 - 18 years of overall software engineering experience, including substantial recent .NET experience.
- Previous experience as an Engineering Manager, Technical Architect, Solution Architect, Principal Engineer, or senior Technical Lead.
- Experience building enterprise products, SaaS platforms, or complex business applications.
- Bachelor's or master's degree in Computer Science, Information Technology, or a related discipline, subject to company education requirements.
Ideal Candidate Profile :
We are looking for a hands-on technology leader who combines deep .NET expertise, end-to-end product architecture, technical roadmap ownership, engineering leadership, and practical AI/GenAI integration experience.
Candidates must demonstrate real architectural ownership and the ability to align engineering decisions with product and business outcomes. AI experience is a valuable differentiator, but it does not replace the core .NET and architecture requirements.
Skills
Engineering Management, C#, .Net, AI Integration, Technical Architect, Microservices Architecture, Cloud, Generative AI, SQL Server, .Net Architect, .Net Core