Senior Consultant Apps - (ai + Full Stack )

Microsoft Microsoft · Big Tech · Hyderabad, TS, IN +2 · Technology Consulting

Senior Consultant role focused on designing and delivering end-to-end, industry-aligned, AI-powered cloud-native applications for enterprise customers. Combines full-stack engineering, applied AI, and Azure cloud expertise with a consulting mindset to drive business outcomes and digital transformation.

What you'd actually do

  1. Lead the technical delivery of complex, cloud-native and AI-enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes.
  2. Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, and aligned to business objectives, architectural best practices, and Microsoft reference architectures.
  3. Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies.
  4. Applies user-centered design principles to translate customer needs into clear technical requirements and scalable solution designs through iterative prototyping and feedback.
  5. Provide delivery leadership by setting technical priorities, estimating effort, managing dependencies, making disciplined trade-offs, and driving successful releases.

Skills

Required

  • Full-stack engineering expertise
  • Applied AI capabilities
  • Deep knowledge of Cloud services (Microsoft Azure)
  • Consulting mindset focused on customer value
  • Technical leadership
  • Solution architecture
  • Agile methodologies
  • User-centered design
  • Risk management
  • Information security and compliance

Nice to have

  • Experience with specific AI models or platforms
  • Experience with specific Microsoft AI services

What the JD emphasized

  • AI-powered applications
  • applied AI capabilities
  • customer value
  • scalable, secure, and well-designed solutions
  • high-quality, predictable outcomes
  • scalable, secure, and aligned to business objectives
  • Microsoft technologies, platforms, and delivery methodologies
  • customer needs
  • scalable solution designs
  • delivery leadership
  • engineering excellence and solution quality
  • efficacy, performance, security, and compliance
  • technical risks and dependencies
  • information security, compliance, and assurance standards
  • customer, regulatory, and Microsoft governance requirements
  • innovation and digital transformation
  • existing intellectual property (IP), reusable assets
  • delivery predictability and speed
  • Sales, account-aligned teams
  • Microsoft cloud and AI solutions
  • thought leadership and continuous improvement
  • engineering productivity, solution quality, and responsiveness

Other signals

  • AI-powered applications
  • applied AI capabilities
  • leverage existing intellectual property (IP), reusable assets
  • Microsoft cloud and AI solutions