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    Home/Jobs/AI Architect

    AI Architect

    QISG

    Houston / TX
    8+ years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Prompt Engineering
    Python
    TypeScript
    JavaScript
    SQL
    agents
    tool use frameworks

    Description

    AI Architect role at QISG, a company that delivers collaborative solutions for energy infrastructure needs. The role involves designing, building, and deploying AI-driven solutions to support business operations across QISG.

    Company: QISG

    Role: AI Architect

    Location: In-office, Monday–Friday, core hours 8:00 AM–5:00 PM, Katy office: 15011 Katy Freeway, Houston, TX 77094

    Experience:

    • 8+ years of experience in software engineering, AI/ML engineering, data engineering, solutions architecture, or technical consulting

    Key Skills:

    • Python
    • TypeScript/JavaScript
    • SQL
    • relational databases
    • modern data platforms
    • LLMs
    • RAG
    • agents
    • prompt engineering
    • tool use frameworks
    • AI coding or agent tool (e.g., Claude Code, Cursor, Copilot, Codex)

    Qualification:

    • Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field (or equivalent experience)

    Role Focus:

    • Lead high-impact AI engagements end-to-end
    • Build rapid AI prototypes
    • Productionize AI solutions
    • Develop agentic workflows and AI-powered automation
    • Enable knowledge extraction and intelligence from unstructured and structured data sources
    • Automate and optimize manual workflows
    • Mentor and upskill team members and business partners
    • Define and promote AI best practices, reusable patterns, and accelerators

    Nice to have:

    • Experience in energy, utilities, EPC, infrastructure, or construction environments
    • Experience working directly with non-technical stakeholders in fast-paced delivery settings
    • Familiarity with Claude, Anthropic APIs, MCP servers, or similar AI ecosystems
    • Experience building reusable frameworks, accelerators, or internal platforms
    • Background in customer-facing or embedded solution delivery roles

    Other:

    • Competitive base salary
    • Generous PTO & paid holidays
    • 401(k) with a generous match
    • Comprehensive benefits – medical, dental, vision, and life insurance
    • Weekly pay
    • Great mentoring & career growth opportunities

    Prepare for this role

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

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

    Python 3 Programming Specialization

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