AI Solutions Architect

Experience: 8-10 years

Location: Pune

Role Overview:

Own the end-to-end technical design and implementation of enterprise-grade AI solutions. The role requires broad technical depth across application, hardware, platform, infrastructure, networking, security, scalability, and customer requirements, with strong leadership and solution-design capabilities.

Key Responsibilities:

• Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]
• Own end-to-end technical architecture and implementation of AI-based systems
• Design solutions across application, hardware, platform, network, infrastructure, and other relevant tiers
• Perform capacity planning and build reference architectures
• Make architecture and technology decisions and evaluate trade-offs
• Coordinate with infrastructure engineers, Field/Deployment Engineers, ML Engineers, CSI/Cluster Administrators, developers, and other technical roles
• Collaborate closely with customers to understand business and technical problems and translate them into enterprise-grade solutions
• Identify functional and non-functional requirements, including requirements that may not be explicitly stated by the customer
• Assess existing technical debt and understand the current environment before designing the target solution
• Conduct Proofs of Technology (POTs) and Proofs of Concept (POCs) where technology compatibility or suitability needs to be validated
• Evaluate compatibility across multiple technology stacks
• Design solutions considering enterprise-grade parameters such as security, scalability, reliability, and other relevant quality attributes
• Guide technical teams and provide architectural direction throughout implementation
• Must be available for on-call support as needed
• Ability to collaborate effectively with Agentic AI models
• Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches

Required Skills:

• Strong enterprise AI solution architecture experience
• Broad understanding across AI applications, infrastructure, platforms, hardware, networking, and deployment environments
• Strong capacity planning and reference-architecture skills
• Experience with POCs/POTs and technology evaluation
• Strong understanding of enterprise-grade security, scalability, and reliability requirements
• Ability to understand technical debt and existing architecture before proposing changes
• Strong customer-facing and stakeholder-management capabilities
• Ability to coordinate and technically guide multiple engineering disciplines

Preferred Experience:

• Experience leading or coordinating multiple engineering teams
• Experience designing enterprise-grade AI platforms and solutions
• Exposure to complex customer environments and technology stacks

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.