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    Solutions Architect - Indiana, United States - Alldus

    Alldus
    Alldus Indiana, United States

    2 weeks ago

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    Description

    Job Title:

    • AI Solutions Architect

    Location:

    • On site/Hybrid
    • Indianapolis, Indiana

    Work Authorization:

    • US Citizen/GC

    Company:

    • Our client who are revolutionizing the energy sector are hiring an AI Solutions Architect to join their team in Indianapolis. The successful candidate will play a critical role in configuring and deploying state-of-the-art AI solutions tailored to address the distinctive requirements of the company's key customers.

    Responsibilities:

    • As the AI Solutions Architect, you will engage with customers post-sales to design and execute full-stack AI solutions, ensuring alignment with functional and performance criteria.
    • You will lead architecture and engineering discussions to showcase the capabilities of the Platform and its integration with current systems.
    • Develop scalable and reusable reference architectures to streamline solution delivery.
    • Generate specifications, documentation and technical procedures, enriching user support materials.
    • Identify and address technical risks to guarantee project success.
    • Support production AI applications by monitoring and executing processes as required.
    • Collaborate with engineering and product teams to incorporate customer feature requests into core product offerings.

    Skillset:

    • Bachelor's degree in engineering, computer science or similar.
    • Experience with Large Language Models, Generative AI, etc.
    • At least five years experience working as a Solution Architect in system/data integration, development or enterprise/cloud software implementation.
    • Expert knowledge of enterprise architecture and application integration.
    • Proficient in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP).
    • Skilled in Python, JavaScript and/or Java programming languages.
    • Hands-on experience with relational and NoSQL databases.
    • Advanced proficiency in Postgres and Cassandra is a bonus.
    • Familiarity with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks) and stream processing frameworks (Kafka, Kinesis).
    • Understanding of container-based deployments using Kubernetes or OpenShift.
    • Experience in designing and managing DataOps and MLOps in Production environments.
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