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    Home/Jobs/Sr. Consultant - AI & Industry Solutions

    Sr. Consultant - AI & Industry Solutions

    Fire AI

    Mumbai
    6-10 years
    Today
    ₹12–24 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    LlamaIndex
    LLM
    RAG
    Python
    JavaScript
    SQL
    AWS
    Azure
    Snowflake
    GCP
    BigQuery
    Databricks
    Redshift
    LangGraph

    Description

    Fire AI is building the world's best decision intelligence platform. We are looking for a Sr. Consultant who can bridge the gap between cutting-edge AI capabilities and real-world customer implementation.

    Company: Fire AI

    Role: Sr. Consultant - AI & Industry Solutions

    Location: Mumbai

    Experience:

    • 6-10 years of experience in Solutions Engineering, Technical Consulting, Systems Integration, or AI/ML implementation

    Key Skills:

    • Javascript
    • Python
    • Sql
    • Aws
    • Azure
    • Snowflake
    • Gcp
    • Databases
    • Solution Architecture
    • Bigquery
    • Databricks
    • Redshift
    • Data Pipelines
    • Backend Architecture
    • Langchain
    • LlamaIndex
    • Analytics Platforms
    • LangGraph
    • AI/ML Workflows
    • API and connector experience

    Role Focus:

    • Understand end-to-end AI integration workflows connecting customer data sources, APIs, and databases to Fire AI’s platform
    • Translate technical requirements into structured, implementable AI solutions using LLMs, RAG systems, ML pipelines, and data workflows
    • Evaluate database schema strategies, API connector configurations, and integration patterns across real enterprise environments
    • Solve for vertical-specific use cases across D2C, B2B, Manufacturing, Pharma, and other industries
    • Lead discovery sessions with CTOs, VP Engineering, and data leads to understand technical architecture and implementation constraints
    • Partner with Sales on live technical demos tailored to customer-specific use cases
    • Assess customer technical maturity, data readiness, and infrastructure gaps
    • Build demo environments that reflect real customer connectors, workflows, and industry patterns
    • Own the transition from sales to implementation with detailed technical handoff documentation
    • Troubleshoot integration issues across databases, APIs, authentication, schema mapping, and performance
    • Track implementation milestones and escalate blockers to Product and Engineering
    • Support large enterprise deals with structured cross-functional coordination
    • Act as the voice of the customer by bringing recurring integration patterns, industry pain points, and product gaps back to internal teams
    • Create connector guides, integration best practices, schema design patterns, and solution templates
    • Enable Sales and Customer Success teams with sharper technical narratives and implementation understanding
    • Contribute to revenue growth by improving solution quality, speed of implementation, and deal confidence

    Nice to have:

    • Experience with LangChain, LlamaIndex, LangGraph, or similar AI frameworks
    • Hands-on coding ability in Python, JavaScript, or SQL
    • Experience with analytics platforms, AI/ML companies, or data integration SaaS products
    • Familiarity with Snowflake, BigQuery, Redshift, Databricks, AWS, GCP, or Azure
    • Exposure to multiple verticals such as D2C, SaaS, Manufacturing, Pharma, Financial Services, or Logistics

    Other:

    • CTC: 12-24 LPA
    • Work on cutting-edge AI integrations solving real business problems across industries
    • Partner with Product and Engineering teams shaping the future of enterprise decision intelligence
    • Build meaningful relationships with high-growth companies and large enterprises
    • Influence product roadmap directly through customer insight
    • Stay at the frontier of AI implementation, integration strategy, and technical consulting

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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