Actively Hiring • 2 OpeningsHYBRID//BENGALURU / PARTTIME/FULL TIME

AI Consultant

Advise clients on AI adoption, design practical AI-powered solutions, and guide implementation with engineering teams.

  • LangChain
  • Advisory
  • Inference Scaling
Department
AI Consulting & Solutions
Experience
3–6 years
Employment
Parttime/Full Time
Location
Hybrid//bengaluru

Role Overview

LLM Axis is looking for an AI Consultant who can understand business challenges, identify opportunities for AI adoption and translate business requirements into practical AI-powered solutions.

The candidate will work closely with clients, business stakeholders and internal engineering teams to identify use cases, recommend suitable technologies and guide AI implementation initiatives.

This role requires a combination of technical understanding, business consulting, solution design and communication skills.

The candidate may also participate in corporate AI workshops, client enablement sessions and technical knowledge-sharing initiatives.

Key Responsibilities

AI Consulting & Solution Design

  • Understand client business requirements, workflows and operational challenges.
  • Identify opportunities for Artificial Intelligence, Generative AI and automation.
  • Recommend suitable AI solutions based on business objectives and feasibility.
  • Design AI solution architectures, technical roadmaps and implementation strategies.
  • Evaluate AI models, frameworks, tools and technologies for specific business use cases.
  • Work with engineering teams to develop proof-of-concepts and demonstrations.
  • Prepare technical proposals, solution documentation and implementation plans.
  • Evaluate solution performance, scalability, security and cost efficiency.

Client Engagement & Business Collaboration

  • Conduct client meetings, requirement-gathering sessions and technical discussions.
  • Explain complex AI concepts and solutions to technical and non-technical stakeholders.
  • Conduct solution demonstrations and technical presentations.
  • Collaborate with sales and business development teams during technical discussions.
  • Support client workshops and AI adoption initiatives.

Knowledge Sharing & Learning Support

  • Contribute to technical workshops and AI awareness sessions.
  • Support the development of practical learning content based on industry use cases.
  • Share implementation insights with internal trainers and engineering teams.

Required Technical Skills

  • Strong understanding of Artificial Intelligence and Machine Learning fundamentals.
  • Practical knowledge of Generative AI and Large Language Models.
  • Familiarity with Python and API integrations.
  • Understanding of prompt engineering, RAG and vector databases.
  • Knowledge of AI agents and workflow automation.
  • Familiarity with cloud platforms and AI application architecture.
  • Ability to translate business requirements into technical solutions.

Preferred Skills

  • Experience with LangChain, LangGraph or LlamaIndex.
  • Exposure to OpenAI, Anthropic, Gemini or open-source models.
  • Familiarity with AWS, Azure or Google Cloud.
  • Experience in enterprise AI consulting or technology implementation.
  • Understanding of AI governance, security and responsible AI practices.
  • Experience delivering client presentations, workshops or technology consulting engagements.

Experience & Qualifications

  • 3–6 years of overall experience in AI/ML, technology consulting, solution architecture or related fields.
  • At least 2 years of practical experience working with Generative AI, LLM applications or AI-powered solutions.
  • Experience in client requirement gathering, solution design, technical presentations or proof-of-concept development.
  • Demonstrated ability to work with both business stakeholders and technical teams.
  • Experience in enterprise consulting or AI implementation is preferred.

Ideal Candidate

A technically sound consultant who can understand business problems, identify opportunities for AI adoption and translate those opportunities into practical implementation strategies.

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