Principal Architect - AI Product Engineering (Presales)

Principal Architect – AI Product Engineering (Pre-Sales) Experience:

15–18+ years Level:

Director / Principal Role Overview We 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 Responsibilities 1. Enterprise & Product Architecture Leadership Define 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 Engineering Architect 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 Enablement Embed

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 Solutioning Lead 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 Leadership Create reusable architectural patterns and accelerators across: Full-stack digital platforms Cloud-native engineering AI-native product architectures Contribute to internal standards and external thought leadership in AI product engineering.

Required Experience & Skills 15+ 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.

Preferred Cloud 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 Like Influences 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.