8 to 12
Remote
remote
Fulltime
Job Description
Experience: 8–12 years
Role Summary
Architect responsible for designing AI-integrated SDLC platforms, creating MCP-based extensible architectures, and enabling intelligent engineering ecosystems across delivery teams.
Key Responsibilities
Architect enterprise-scale AI-driven SDLC platforms.
Design and govern MCP-based developer productivity ecosystems.
Define and apply context-engineering patterns for structured AI reasoning.
Blueprint multi-agent engineering workflows.
Guide teams on LLM integration, observability, governance, and safety.
Drive platform evolution using GenAI-enabled engineering accelerators.
Skills & Expertise
AI SDLC, MCP Architecture, Context Engineering, LLM Systems
Platform Architecture, Microservices, Cloud, Kubernetes
Distributed systems and large-scale architecture design
RAG, embeddings, and vector-based compute pipelines
Core Competencies
MCP-based modular and extensible AI developer ecosystems
Context engineering for reliable AI execution
AI-augmented platform architecture
Architecture governance and strategic technology leadership
Immediate - 15 days
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