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    Home/Jobs/Senior Applied Artificial Intelligence (AI) Engineer

    Senior Applied Artificial Intelligence (AI) Engineer

    Sensata

    Washington
    5-10 years
    Today
    ₹132–182 LPA
    Full-time
    Onsite

    Skills Required

    Azure OpenAI/OpenAI
    Vector Database
    LangChain
    LlamaIndex
    OpenAI/Azure OpenAI APIs
    LLM
    RAG
    vector embeddings/databases
    Python
    REST API
    orchestration frameworks
    Semantic Kernel
    FastAPI
    Streamlit
    multi-step orchestration

    Description

    We are seeking a Senior Applied AI Engineer who is a true hands-on builder, someone who can take a business problem and quickly turn it into a working AI solution.

    Company: Sensata

    Role: Senior Applied Artificial Intelligence (AI) Engineer

    Location: Washington Home Office

    Experience:

    • 5–10+ years of hands-on experience in software, AI, or data engineering
    • A university degree required (i.e. Bachelors degree) or equivalent relevant work experience

    Key Skills:

    • Python
    • REST APIs
    • Azure OpenAI/OpenAI
    • vector databases
    • orchestration frameworks
    • LLM/GenAI technologies
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • OpenAI/Azure OpenAI APIs
    • FastAPI
    • Streamlit

    Qualification:

    • Bachelors degree
    • Strong communication skills; oral, written and presentation
    • Strong organization, planning and time management skills
    • Strong personal and professional ethical values and integrity
    • Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
    • Strong interpersonal & collaboration skills

    Role Focus:

    • Design, develop, and deploy production models, services, and pipelines
    • Partner with data science, product, data engineering, and platform teams
    • Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows
    • Improve model performance, latency, cost efficiency, reliability, and explainability
    • Develop reusable infrastructure, tooling, libraries, and patterns
    • Monitor deployed models for performance degradation, bias, drift, and operational issues
    • Collaborate with stakeholders to communicate technical trade-offs, risks, timelines, and recommendations
    • Mentor engineers and contribute to technical standards, best practices, and architecture decisions

    Additional responsibilities:

    • Rapidly design, build, and deploy AI solutions
    • Develop end-to-end AI/LLM workflows
    • Build scalable solutions using Python, REST APIs, Azure OpenAI/OpenAI, vector databases, and orchestration frameworks
    • Ingest, process, and work directly with messy, unstructured enterprise data
    • Create user-facing tools and applications
    • Implement and manage evaluation, monitoring, and reliability frameworks
    • Evaluate, benchmark, and support due diligence of vendor solutions
    • Prioritize and deliver AI initiatives based on business value, scalability, and speed-to-impact

    Nice to have:

    • Experience with data handling and document-focused AI capabilities
    • Familiarity with enterprise platforms and environments, including Power Platform
    • Experience working with SQL/data modeling and document extraction/OCR workflows

    Other:

    • Base Salary Range: $132,000.00 - $181,500.00
    • Competitive medical, dental, vision, life and disability insurance plans
    • Education reimbursement
    • Wellness programs
    • 401(k) retirement plan with Company matching
    • Paid time off, such as vacation or flex-time, sick, bereavement, and parental leave
    • Short-term incentive and long-term incentive programs

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    Python for Everybody Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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