Principal Architect - Quality Engineering
Date: 3 Apr 2026
Location: Bangalore, KA, IN, 560100
Company: Altimetrik
Principal Solutions Architect – Intelligent Engineering & Agentic Automation
Location: India | Leadership Track
Role Overview
Altimetrik is seeking a forward-thinking Principal Solutions Architect to lead the evolution of our Intelligent Engineering capabilities across automation, AI, and composable enterprise architecture.
This role will anchor our next-generation Intelligent Automation & Agentic AI practice, driving solution strategy, pre-sales leadership, accelerator development, and initial engagement bootstrapping. The individual will work cross-functionally with Platform Modernization, Quality Engineering, and DevSecOps practices to inject intelligence-driven automation across engineering ecosystems.
This is a high-visibility role with a defined progression path toward Practice Leadership.
Key Responsibilities
Solution Architecture & Technical Leadership
- Design end-to-end intelligent automation solutions combining RPA, Agentic AI, APIs, and enterprise platforms.
- Architect multi-agent systems leveraging frameworks such as LangGraph, CrewAI, AutoGen, or equivalent.
- Define RAG architectures, vector database integration strategies, and AI guardrails.
- Establish reference architectures and reusable solution patterns.
- Bootstrap initial client engagements and build POCs where required (20–30% hands-on involvement).
Intelligent Automation & Agentic AI Strategy
- Develop scalable patterns integrating RPA platforms, Agentic AI orchestration, API-first systems, and enterprise low-code/no-code platforms.
- Define governance models for AI-driven automation including observability, human-in-the-loop mechanisms, and security guardrails.
- Optimize cost, performance, and scalability of AI-augmented automation.
Cross-Practice Engineering Enablement
- Enable AI-assisted legacy modernization strategies and intelligent refactoring accelerators.
- Drive AI-driven test generation, OpenAPI-based automation, and agent-based validation orchestration.
- Integrate AI-assisted pipeline intelligence, security validation automation, and policy-as-code patterns.
Pre-Sales & GTM Enablement
- Lead client discovery workshops and solution whiteboarding.
- Contribute to proposals, RFP responses, and commercial modeling.
- Build differentiated demo environments and accelerators.
- Enable sales teams with technical positioning narratives.
Practice Development & Capability Building
- Define reusable IP and accelerator roadmap.
- Mentor architects and senior engineers.
- Establish engineering standards for AI + Automation solutions.
- Support hiring and capability scaling initiatives.
Required Experience & Qualifications
Experience
- 10+ years in enterprise engineering and solution architecture.
- 5+ years hands-on experience in RPA implementations at scale.
- Demonstrated experience architecting AI-enabled automation solutions.
- Prior involvement in pre-sales, proposal development, or client advisory roles.
- Experience contributing to capability or practice development initiatives.
Technical Expertise
- Enterprise RPA architecture (UiPath, Automation Anywhere, or equivalent).
- Multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, etc.).
- RAG pipelines and vector database integration.
- API-first and microservices architecture.
- Cloud-native deployment models (AWS/Azure).
- Python-based backend development (FastAPI preferred).
- Enterprise security & governance models and observability strategies.
- Experience integrating automation within enterprise low-code platforms (Unqork, Appian, Mendix, Power Platform, ServiceNow) is desirable.
Leadership & Behavioral Competencies
- Strong executive communication and client engagement skills.
- Ability to translate complex AI/automation concepts into business outcomes.
- Systems-thinking mindset across engineering disciplines.
- Builder mentality with strategic vision and high ownership.
- Entrepreneurial drive with practice-building orientation.
Growth Path
This role is designed to evolve into Practice Lead – Intelligent Engineering & Automation or Director / Capability Head – Agentic AI & Intelligent Automation based on demonstrated impact and leadership.
Long Description