Description

Design and lead the architecture of scalable, multi-agent AI systems for enterprise customers, translating complex business requirements into technical blueprints and proof-of-concepts.

This role is on-site.

Responsibilities

• Engage with enterprise clients to diagnose structural pain points and map them to agentic AI opportunities.
• Lead discovery workshops and current-state assessments to define solution vision and craft ROI models.
• Design scalable multi-agent architectures including orchestration, planning, memory frameworks, RAG, and guardrails.
• Select and integrate LLMs, vector stores, and enterprise software to build high-impact PoCs.
• Establish non-functional requirements for scalability, latency, security, observability, and cost-efficiency.

Required Skills

• 10–18 years of total professional experience, with 3+ years in AI, automation, or digital transformation.
• Hands-on experience with agentic AI frameworks (LangChain/LangGraph, AutoGen, CrewAI).
• Proven track record of orchestrating LLMs and deploying enterprise-grade RAG structures.
• Ability to model business metrics (cost-to-serve, revenue leakage) into architecture-driven savings.
• Experience integrating with major enterprise platforms (Salesforce, SAP, Oracle, ServiceNow, Zendesk, Genesys).
• Strong client-facing communication skills for facilitating workshops and presenting to CXO/VP stakeholders.
• Experience with cloud hyper-scalers (AWS, Azure, GCP).

Preferred Skills

• Background in management consulting, Big-4 transformation, or high-growth SaaS.
• Cloud Architect certifications (AWS/Azure/GCP), TOGAF, or industry-specific designations.

Referral Bonus: Refer a candidate and earn ₹50,000.

Key Skills

Education

Bachelor's degree