Principal Architect - AI Product Engineering (Presales)

Principal Architect - AI Product Engineering (Pre-Sales)Experience: 15-18+ yearsLevel: Director / PrincipalRole OverviewWe are seeking a senior Principal Architect with deep expertise in cloud-native product engineering and enterprise architecture, complemented by hands-on exposure to AI, GenAI, and agentic systems.This role anchors strategic solutioning for complex digital and AI product programs-shaping enterprise architectures, leading pre-sales engagements, and defining scalable, production-grade AI-enabled platforms. The ideal candidate is a seasoned full-stack architect first, with strong applied AI capabilities, comfortable operating across engineering, business, and sales leadership.

Key Responsibilities1. Enterprise & Product Architecture LeadershipDefine architecture principles, reference models, and modernization roadmaps.Lead large-scale solution design across application, data, integration, security, and cloud.Govern architectural decisions, conduct assessments, and guide transformation programs.Drive modernization from monoliths to cloud-native, API-first, and event-driven systems.2. Cloud-Native & Platform EngineeringArchitect scalable solutions across Azure, AWS, and/or GCP.Design microservices, APIs, Kubernetes platforms, CI/CD pipelines, and DevSecOps practices.Define cloud landing zones, IAM, resilience, DR, observability, and FinOps guardrails.Ensure production readiness: performance, reliability, scalability, and compliance.3.

AI Product Engineering EnablementEmbed GenAI and agentic capabilities into digital product architectures (copilots, decisioning, search, workflow automation).Guide productionization of AI systems-cost optimization, latency management, governance, safety, and monitoring.Shape AI integration patterns where intelligence becomes part of core product logic.Define scalable AI platform architectures (LLM orchestration, vector search, model integration, controls).4. Pre-Sales & Strategic SolutioningLead architecture definition for RFPs, proposals, and strategic pursuits.Translate business problems into end-to-end solution blueprints and effort estimates.Present high-impact architecture narratives to CXO and senior stakeholders.Collaborate with sales and delivery teams to craft compelling, outcome-driven value propositions.5. Accelerators & Thought LeadershipCreate reusable architectural patterns and accelerators across:Full-stack digital platformsCloud-native engineeringAI-native product architecturesContribute to internal standards and external thought leadership in AI product engineering.

Required Experience & Skills15+ years in enterprise architecture and digital product engineering.Strong full-stack foundation (frontend, backend, APIs, distributed systems).Proven cloud-native architecture experience (AWS, Azure, or GCP).Expertise in microservices, event-driven systems, containers, Kubernetes, CI/CD, and observability.Applied experience integrating GenAI / LLM-based systems into production applications.Strong pre-sales exposure: solutioning, estimations, proposals, executive presentations.Ability to connect technical architecture decisions to business impact.

PreferredCloud certifications (AWS/Azure/GCP Architect).TOGAF or enterprise architecture credentials.Exposure to data platforms (Databricks, Snowflake, modern data stacks).Experience in large enterprise transformation programs.

What Good Looks LikeInfluences architecture direction across strategic deals.Recognized as the go-to architect for cloud-native + AI product programs.Drives differentiated AI Product Engineering propositions.Balances innovation with production-grade discipline and governance.