Solutions Architect


Job Details

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.





 Alldus

 05/16/2024

 All cities,IN