AI Architect (SDLC Strategy & Automation)
Role : AI Architect (SDLC Strategy & Automation) • *Key Responsibilities • Agentic Framework Design & Strategy:** Design and implement multi-agent systems (LangGraph, CrewAI) to automate complex SDLC tasks. Beyond technical builds, you will • *lead Discovery Workshops** to map client pain points to agentic architectures. • Pre-Sales Technical Leadership: Act as the primary technical point of contact during the sales cycle, conducting • *Proof of Value (PoV) engagements** and demonstrating how AI-driven SDLC acceleration translates into reduced "Time-to-Market." • Strategic SDLC Consulting: Conduct • *Value Stream Mapping** for clients to identify bottlenecks in CI/CD pipelines. Develop "North Star" roadmaps for AI-driven automation, code reviews, and self-healing infrastructure. • LLM Orchestration & Governance: Fine-tune and prompt-engineer LLMs for secure coding tasks, while • *advising clients on AI Governance** , data privacy, and the total cost of ownership (TCO) for LLM deployments. • Seamless Ecosystem Integration: Architect integrations between AI agents and enterprise toolsets (Jira, GitHub, Slack) to deliver a • *unified Developer Experience (DevEx)** that aligns with client business objectives. • *Technical & Consulting Qualifications • AI/ML Expertise:** Deep mastery of Agentic Workflows (planning, memory, tool-use) and RAG. Ability to explain complex LLM architectures to • *C-suite stakeholders** in terms of business impact. • Consulting & Pre-Sales: 3+ years in a • *customer-facing technical role** (Solutions Architect, Sales Engineer, or Technical Consultant) with a track record of winning bids and driving adoption. • Full-Stack Engineering: 5+ years of experience in Python, Node.js, or Go. You can build the demo • and* write the production-grade code behind it. • DevOps & IAC: Experience with CI/CD (GitHub Actions) and Terraform. You understand how to pitch "Self-Healing" infrastructure as a • *risk-mitigation strategy** . • Strategic Data Systems: Proficiency with vector databases (Pinecone, Weaviate) to build • *Enterprise Knowledge Bases** that serve as the "brain" for client-specific AI agents. • Communication Mastery: Ability to pivot from deep-dive technical debugging to • *executive-level presentations** without losing the room.