Principal Consultant - Dotnet Full stack & AI_Rz

Principal Consultant - Dotnet Full stack & AI

India, Telangana, Hyderabad

Work site : 3 days / week in-office

Role & Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• Ensure secure, compliant, and reliable solution delivery through secure coding, test-driven development, observability, design reviews, and quality gates across all engagements.
• 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.

Skills & Qualifications Must-Have

• 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.
• 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.
• 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 p…