Opportunity For AI Architect/ AI consultant role Excelra

10.0 - 15.0 years

0 - 3 Lacs

Hyderabad, Bengaluru, Delhi / NCR

Hybrid

Job Title: Agentic AI Architect Experience Level: 10+ years Must-Have Skills: 2+ years of hands-on experience in agentic AI / multi-agent systems. Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks. Strong background in Python and experience with prompt engineering, tools integration, and chaining logic. Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures. Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral). Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure). Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments. Model-cost profiling and budgeting (API call minimization, batch vs. streaming) Latency tuning for real-time agents, Autoscaling strategies. Job Title: AI Consultant: Consulting Mandate: AI-Readiness & Internal Adoption Strategy Objective: Equip Excelras senior leadership with a clear understanding of the most relevant, cost-effective AI technologies (incl. generative AI, LLM co-pilots, agentic AI, etc.) for internal use, and deliver a pragmatic roadmap to drive enterprise-wide AI readiness and adoption across core business functions. Scope & Focus Areas: Internal Use Only: Focus exclusively on applying AI to internal functions and workflows exclude data curation automation and market-facing AI products. Functions in Scope: Project Delivery, Pre-Sales / Customer Solutioning, Sales, Marketing, Finance, HR, Legal, and other support/ops functions. Engagement Modules: 1. Executive AI Workshop (Education & Awareness) 2. Internal AI Opportunity Scan 3. AI Readiness & Change Enablement Roadmap Expected Outcomes: Excelra leadership is educated and aligned on internal AI potential. Clear prioritization of practical AI use cases across functions. Organizational roadmap to enable scalable, secure, and effective AI adoption internally.

Posted 2 weeks ago

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