AI Solution Architect

₹40L – ₹46L/year

We are looking for an experienced AI Solution Architect responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures across data ingestion, models, and operational workflows — ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards.

Key Responsibilities

• Work directly with sales teams and clients to assess needs and design full AI solutions including performance, scaling, and security requirements
• Translate business requirements into AI-driven architectures (across data ingestion, models, and operational workflows) that integrate with existing IT infrastructure
• Select appropriate AI models, technologies, and platforms for client-specific use cases
• Define solution plans and roadmaps, and guide successful implementations from design through delivery
• Steer and direct solution design to address specific client issues and requirements
• Accelerate the development of solution plans as part of proposals and pre-sales engagements
• Ensure solutions meet feasibility, cost-effectiveness, and firmwide architectural standards
• Provide deep expertise in designing viable, performant AI solutions for enterprise clients

Requirements

• Proven experience architecting AI-driven solutions for enterprise customers, collaborating with sales and engineering teams
• Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs
• Expertise in AI Solution Architecture: LLM/SLM deployment, fine-tuning, inference optimisation, RAG, API-based AI deployment, and model orchestration
• Strong knowledge of Cloud AI and hyperscalers — AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications
• Proficiency in Cloud Security and FinOps: AI landing zones, model refinement and testing, and compliance strategies
• Experience in enterprise AI design focused on scalable, secure, and cost-effective AI integration
• Understanding of data science principles to evaluate machine learning and statistical models

Nice to Have

• Experience with Agile methodology
• Background in enterprise architecture frameworks
• Prior experience in a consulting or professional services environment
• Exposure to multimodal AI applications