Opportunity For AI Architect/ AI consultant role

Job Title:

Experience Level:

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.