Distinguished Engineer (Cloud Architect + AI)

Responsibilities

• Define and drive the overall technology vision, architecture, and roadmap for enterprise projects and client engagements.
• Own the technology health of assigned projects and accounts by ensuring architectural quality, scalability, security, governance, and engineering excellence.
• Develop and execute both short-term and long-term technology strategies aligned with business objectives.
• Design innovative cloud-native, data-driven, and Generative AI-enabled enterprise solutions.
• Evaluate emerging technologies and identify opportunities to leverage Cloud, Data, AI, and Generative AI to solve business challenges.
• Lead architecture design, technical solutioning, and implementation strategies for complex enterprise applications.
• Collaborate with cross-functional teams to develop cutting-edge technology solutions and reusable architectural assets.
• Provide technical leadership by participating in hands-on development, proof-of-concepts, and complex technical implementations when required.
• Establish and enforce architecture standards, governance frameworks, coding standards, and best engineering practices.
• Conduct architecture reviews, technical assessments, and solution validation to ensure quality and compliance.
• Influence client technology strategy through workshops, consulting engagements, solution presentations, and executive-level discussions.
• Identify opportunities to expand existing engagements through technology consulting, innovation, and AI-enabled offerings.
• Drive adoption of organizational technology initiatives, frameworks, accelerators, and best practices across projects.
• Mentor architects, technical leads, and engineering teams through coaching, knowledge sharing, and continuous feedback.
• Build strong relationships with clients and internal stakeholders while serving as a trusted technology advisor throughout the project lifecycle.
• Bachelor's or master's degree in computer science, Information Technology, or a related field.

Requirements

• Experience : 16+years
• Relevant experience in software engineering and enterprise solution architecture.
• Strong expertise in designing and developing enterprise technology solutions across multiple platforms, programming languages, and technology stacks.
• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Strong knowledge of Data Engineering, Artificial Intelligence, Machine Learning, and Generative AI technologies.
• Experience designing scalable, secure, and high-performance enterprise architectures.
• Ability to conceptualize innovative technology solutions by combining emerging technologies with business and industry needs.
• Strong understanding of software architecture, system integration, scalability, security, and engineering best practices.
• Proven experience leading complex technology engagements and delivering enterprise solutions for global clients.
• Ability to remain hands-on with modern programming languages, frameworks, and emerging technologies when required.
• Strong consulting, stakeholder management, and client engagement skills with the ability to influence technology and digital transformation strategies.
• Experience managing multiple technology initiatives simultaneously within globally distributed teams.
• Excellent analytical, problem-solving, and decision-making capabilities.
• Demonstrated thought leadership through blogs, whitepapers, technical presentations, conference speaking, or industry forums.
• Excellent verbal and written communication skills with the ability to present complex technical concepts to both technical and business audiences.

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Company Intel

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