Distinguished Engineer (Cloud Architect + AI)

Requirements

• Experience : 16years
• 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.

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.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time