Principal Consultant - Dotnet Full stack & AI_Rz

IAssess Consultants LLP; Hyderabad; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

IAssess Consultants LLP, Hyderabad, is seeking a Principal Consultant for Dotnet Full Stack & AI to lead architecture and end-to-end delivery across multiple projects. The role involves embedding AI-first delivery, driving engineering excellence, and ensuring scalable, secure solutions.

You will collaborate with clients, guide pre-sales, and mentor cross-functional teams while adopting modern delivery methodologies (Agile, DevOps, CI/CD). 3 days in-office per week.

Qualifications

• 18+ years of experience in software/solution engineering with hands-on coding & design.
• Proven track record delivering complex multi-disciplinary projects.
• Expertise in modern delivery methods (Agile, Scrum, DevOps).
• Bachelor’s degree in CS/Engineering or related field (or equivalent).
• Experience building web/mobile apps using React/Angular/Next.js/Blazor or equivalent.

Responsibilities

• Embed AI-first principles into delivery workflows and automation.
• Own architecture and end-to-end delivery of complex projects.
• Drive engineering excellence with reusable components and accelerators.
• Oversee technical execution across multiple projects with quality and compliance.
• Collaborate with clients to define strategies, plans, milestones, and risk mitigation.
• Translate business requirements into scalable technical solutions for clients.

Skills

Leadership

Delivery management

Agile methodologies

Communication

React/Angular/Next.js

Backend: .NET/Java/Node.js/Python

Cloud platforms

AI/ML concepts

Copilot/AI tooling

Pre-sales & solutioning

Education

Bachelor’s degree in CS/Engineering or equivalent

Tools

Azure DevOps

GitHub Actions

Bicep/ARM/Terraform

Azure OpenAI & AI Services

Azure AI Foundry

AKS/Container Apps

API Management

Job description

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 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Passion for technology and innovation.
• Ability to interact confidently with senior leaders and clients.
• Strong decision-making skills and a consultative mindset.
• Flexibility to manage in a fast-moving, ambiguous consulting environment.
• Commitment to continuous learning and professional growth.

Preferred

• Relevant certifications.
• Embody our culture and values.

Skills: java,azure ai services,angular,node.js,azure ai foundry,container apps,app service,c#,dotnet,next.js,blazor,rest,react,azure open ai,azure,azure sql,python,grpc,github copilot,azure ai search,open ai,postgresql,cosmos db,.net,azure openai