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 atrisk 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, testdriven 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 usercentric 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 robust 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, testdriven 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

- Endtoend 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, domaindriven design, and APIfirst principles
- Experience building scalable microservices and distributed systems, leveraging REST, gRPC, eventdriven architectures, and asynchronous processing
- Handson data and platform fundamentals, including relational and NoSQL databases (Azure SQL, PostgreSQL, Cosmos DB), performance tuning, scalability, resiliency, and application security

AIDriven Application Development

- Build AIdriven, cloudnative applications with intelligence embedded into core workflows.
- Handson use of GitHub Copilot across the SDLC, enabling solutioning, development, CI/CD, and production readiness.
- Lead a Copilotassisted engineering culture, driving AI pairprogramming and highvelocity delivery at scale.
- Modernize large application estates using Copilotassisted code comprehension, refactoring, and cloudnative migration.
- Coach teams and customers on safe, enterprisegrade Copilot usage, prompt strategies, and adoption patterns.
- Apply Responsible AI principles, embedding security, privacy, governance, and compliance into delivery workflows.

AIEnabled Application Development

- Deliver productiongrade 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 multiagent), with orchestration, tools, memory, humanintheloop,



and enterpriseready operations including observability, governance, and cost/performance optimization.

CloudNative Architecture (Azure)

- Design PaaSfirst, cloudnative 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 multiregion deployments, disaster recovery, and faulttolerant architectures.
- Apply costaware and WellArchitected 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.
- Handson InfrastructureasCode 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 innersource practices, reusable platforms, accelerators, and automation.
- Embed DevSecOps and platform engineering, delivering pavedroad, selfservice 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
- Handson troubleshooting and production support, addressing performance, reliability, and security issues to unblock progress
- Sidebyside engineering engagement with customer teams, accelerating deployments, adoption, and timetovalue through direct coding support
- Outcomedriven delivery in ambiguous, highpressure environments, building reusable accelerators and reference implementations while engaging senior customer stakeholders

Personal Attributes

- 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.

Pay: ₹5,000,000.00 - ₹8,000,000.00 per year

Work Location: In person

📌 Principal Consultant - Dotnet Full stack & AI (Hyderabad)
🏢 Career Click
📍 Hyderabad