Role Overview :

We are looking for an AI Solution Architect to design enterprise AI solutions and support client engagements across AI products and services. The ideal candidate will combine hands-on architecture expertise with strong consulting and presales skills, translating business requirements into scalable, secure, and commercially viable solutions.

Key Responsibilities :

- Lead discovery sessions with US clients to understand business challenges, assess AI readiness, and identify high-value use cases.

- Design end-to-end solutions using Generative AI, machine learning, large language models, retrieval-augmented generation (RAG), and agentic AI.

- Define solution architecture, technology choices, integration requirements, implementation roadmaps, and effort estimates.

- Architect AI capabilities for both enterprise products and client-specific services, including integration with existing applications and data platforms.

- Partner with sales and business development teams on technical proposals, RFP/RFI responses, demonstrations, and solution presentations.

- Lead proofs of concept and pilots, establish measurable success criteria, and guide successful solutions into production.

- Evaluate build-versus-buy options, model providers, and cloud services based on performance, security, scalability, and total cost.

- Address data privacy, responsible AI, model evaluation, monitoring, and governance requirements.

- Collaborate with engineering, data science, product, and delivery teams to ensure alignment between proposed solutions and implementation.

- Communicate architecture decisions, business value, and technical trade-offs to executive and technical stakeholders.

Required Qualifications :

- Proven experience in AI solution architecture, enterprise AI consulting, or a comparable client-facing technical role.

- Demonstrated ownership of AI solutions for US-based enterprise clients, from discovery and solution design through implementation.

- Strong understanding of LLMs, RAG, embeddings, vector databases, prompt engineering, AI agents, and model evaluation.

- Hands-on proficiency in Python, APIs, and enterprise application integration.

- Experience deploying AI solutions on major cloud platforms (Azure, AWS, or Google Cloud).

- Working knowledge of data engineering, MLOps/LLMOps, security architecture, and production monitoring.

- Strong presales, proposal development, presentation, and stakeholder management skills.

- Bachelor's degree in Computer Science, Engineering, or a related discipline.