Senior Data & AI Architect

🔥 1 hour ago

🌵 Arizona, Colorado, +17 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote ⛷️ Utah – Remote

💵 $160k - $180k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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MojoTech

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

MojoTech is a US-based software development and design company that specializes in creating strategy-driven digital products and experiences. The company focuses on product innovation and strategy to help businesses adapt to the rapidly evolving marketplaces by integrating cutting-edge technologies such as artificial intelligence and machine learning. MojoTech provides a range of services including product design, software development, and AI consulting, with expertise in sectors like finance, healthcare, energy, retail, and more. They emphasize user-centric design and the development of functional digital interfaces and applications that solve business challenges and drive user engagement. Their comprehensive approach includes strategy acceleration and product development leading to impactful and measurable outcomes for businesses.

📋 Description

• Design, build, and maintain scalable data pipelines using AWS services and Python • Implement and optimize large-scale data processing on Databricks, Snowflake, and AWS • Design and deliver end-to-end models and AI agents from data preprocessing to deployment and monitoring • Apply Generative AI to data platforms, including LLM integrations and RAG architectures, in production enterprise solutions • Ensure data quality, reliability, and security across the data lifecycle with CI/CD and DevOps practices • Lead discovery efforts, data maturity assessments, and early-stage solution design • Facilitate architecture discussions with technical and business audiences • Translate business needs into executable data and AI roadmaps • Partner with account and sales leads on proposals, estimates, and solution approaches • Identify follow-on opportunities and articulate the value of proposed solutions • Lead delivery to align work with goals, timelines, and budget, and flag risks early • Mentor engineers and evolve data platform and AI-enabled systems practices • Work directly with client stakeholders to understand data needs, design architectures, and deliver outcomes

🎯 Requirements

• 7+ years of hands-on data engineering experience, with a strong focus on cloud-native solutions • Expert-level proficiency with AWS data services • AWS and Databricks certifications are a significant plus • Exceptional Python skills for data engineering and automation, plus advanced SQL • Experience with Databricks or Apache Spark and at least one major cloud ML platform (e.g., AWS SageMaker) • Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions) • Solid understanding of data modeling, streaming, and pipeline design patterns • Experience working in consulting, agency, or client-service environments • Track record of client and stakeholder satisfaction • Ability to explain complex technical concepts clearly to non-technical audiences and adapt to diverse client environments • Must be located in one of these states: Rhode Island, Colorado, Arizona, Connecticut, Florida, Massachusetts, Maryland, Maine, Missouri, North Carolina, New Hampshire, New Jersey, Nevada, New York, Oregon, Pennsylvania, South Carolina, Tennessee, or Utah • Eligible to work in the United States now and in the future without sponsorship

🏖️ Benefits

• Medical, Dental, FSA • 401k with up to 4% match • Trust-based time off • Catered lunches when in office • Time for self-directed, non-client work • Dog-friendly offices • Remote or in office (offices in Boulder, CO and Providence, RI) • Paid conference attendance/yearly education stipend • Generous family leave policy

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