Dotnet Fullstack AI Principal Consultant

Compensation: ₹50L – ₹70L

Principal Consultant - Dotnet Full stack & AI

India, Telangana, Hyderabad

Work site - 3 days / week in-office

Responsibilities

AI-First Delivery Leadership • Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable. • Own the Architecture and drive end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes. • Drive engineering excellence through reusable components, accelerators, and scalable architecture. • Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements. • Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches. • Act as a technical point of contact for clients, translating business requirements into scalable technical solutions. • Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes. • Ability to step into at risk projects, quickly assess issues, and establish a credible path to recovery or exit.

Engineering Excellence • Champion high-quality engineering practices across all delivery engagements. • Ensure adherence to coding standards, architectural integrity, and performance benchmarks. • Define and institutionalize engineering guardrails that embed secure coding, test driven development, observability. • Encourage continuous learning and technical certifications to maintain cutting-edge expertise. • Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions. • Foster a culture of technical rigor, innovation, and accountability within the team. Innovation & Thought Leadership • Monitor and evaluate emerging technologies to inform strategic direction. • Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact. • Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement. Client Engagement & Solutioning • Use design thinking to shape user centric solutions, aligning business goals, architecture decisions, and delivery execution. • Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle. • Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals. • Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery. Team Management & Mentorship • Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence. • Conduct reviews, provide feedback, and support professional development of team members. Quality & Compliance • Ensure secure, compliant, and reliable solution delivery through secure coding, test driven development, observability, design reviews, and quality gates across all engagements. Strategic Partnering • Serve as a strategic partner for internal and external stakeholders on key initiatives. • Provide strategic guidance and execution oversight to ensure alignment with organizational goals.

Qualifications

Qualifications • 18+ years of experience in software/solution engineering, with hands-on experience and willing to code and design. • Proven experience in leading delivery of complex, multi-disciplinary projects. • Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.). • Excellent communication, stakeholder management, problem-solving, and team leadership skills. • Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). • Relevant certifications are a plus. Areas of Expertise Full Stack Application Engineering • • End to end design and development of modern web and mobile applications using React, Angular, Next.js, Blazor, or equivalent frameworks • Strong backend engineering expertise using .NET, Java, Node.js, or Python, applying clean architecture, domain driven design, and API first principles • Experience building scalable microservices and distributed systems, leveraging REST, gRPC, event driven architectures, and asynchronous processing • Hands on data and platform fundamentals, including relational and NoSQL databases (Azure SQL, PostgreSQL, Cosmos DB), performance tuning, scalability, resiliency, and application security AI Driven Application Development • • Build AI driven, cloud native applications with intelligence embedded into core workflows. • Hands on use of GitHub Copilot across the SDLC, enabling solutioning, development, CI/CD, and production readiness. • Lead a Copilot assisted engineering culture, driving AI pair programming and high velocity delivery at scale. • Modernize large application estates using Copilot assisted code comprehension, refactoring, and cloud native migration. • Coach teams and customers on safe, enterprise grade Copilot usage, prompt strategies, and adoption patterns. • Apply Responsible AI principles, embedding security, privacy, governance, and compliance into delivery workflows. AI Enabled Application Development • • Deliver production grade AI solutions using Azure OpenAI, Azure AI Services, Azure AI Foundry, and custom ML, including RAG architectures with Azure AI Search and enterprise data grounding. • Deep expertise in LLM integration—prompt engineering, context and grounding strategies—for copilots, conversational applications, and intelligent business workflows. • Proven design of agentic AI systems (single and multi agent), with orchestration, tools, memory, human in the loop, and enterprise ready operations including observability, governance, and cost/performance optimization. Cloud Native Architecture (Azure) • • Design PaaS first, cloud native Azure architectures, prioritizing managed services for scale, resilience, security, and efficiency. • Architect solutions across App Service, Container Apps, AKS, Functions, and API Management, selecting optimal compute per workload and business need. • Strong expertise in identity, security, and networking, including Entra ID, RBAC, Managed Identity, Key Vault, private endpoints, VNET integration, and landing patterns. • Build highly available and resilient systems, including multi region deployments, disaster recovery, and fault tolerant architectures. • Apply cost aware and Well Architected principles, optimizing reliability, performance, operations, and cost efficiency. DevOps, Platform & Developer Productivity • • Design and operate secure CI/CD pipelines using Azure DevOps and GitHub Actions with automated build, test, and deployment. • Hands on Infrastructure as Code using Bicep, ARM, and Terraform, leveraging GitHub Copilot to enforce enterprise standards. • Deep understanding of observability and reliability engineering, including logging, metrics, tracing, SLOs, alerting, and production readiness. • Drive developer productivity and delivery velocity through inner source practices, reusable platforms, accelerators, and automation. • Embed DevSecOps and platform engineering, delivering paved road, self service capabilities that balance speed, governance, reliability, and compliance. Solutioning, Pre-Sales & Technical Leadership • • Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping • Translate business outcomes into clear architecture, execution plans, and risk mitigation strategies • Influence technical direction across multiple teams and engagements • Act as a trusted advisor to clients and internal leadership Frontier Engineering & Customer Enablement Skills • • Lead rapid prototyping, pilots, and early enterprise deployments, taking ideas from whiteboard to production with minimal friction • Hands on troubleshooting and production support, addressing performance, reliability, and security issues to unblock progress • Side by side engineering engagement with customer teams, accelerating deployments, adoption, and time to value through direct coding support • Outcome driven delivery in ambiguous, high pressure environments, building reusable accelerators and reference implementations while engaging senior customer stakeholders