Principal Architect - AI Product Engineering; Presales

Position: Principal Architect - AI Product Engineering (Presales)
Location: Bengaluru

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 Dev Sec Ops  practices.
Define cloud landing zones, IAM, resilience, DR, observability, and Fin Ops 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.