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Ai Solutions Engineer

  • Job type Posted on: Jul 24, 2026
  • Experience level Apptad Inc
  • Employment type Frisco, Texas
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Ai Solutions Engineer

Job Type :

Full-time

Job Location :

Frisco Texas United States

Remote :

No

Jobcon Logo Job Description :

Key Responsibilities
  • Partner with customers and internal stakeholders to understand workflows, business challenges, and technical requirements.
  • Design, develop, and deploy production-ready software solutions using AI/GenAI, data platforms, and cloud technologies.
  • Build integrations with APIs, enterprise applications, and third-party systems.
  • Develop rapid prototypes and Proof of Concepts (POCs), iterate based on customer feedback, and transition solutions into production.
  • Design and maintain scalable data pipelines and workflow automations.
  • Collaborate with product and engineering teams to influence product roadmap based on customer insights.
  • Monitor deployed solutions to ensure reliability, scalability, performance, and customer adoption.
  • Troubleshoot production issues and provide technical guidance during deployments.
  • Establish engineering best practices, deployment playbooks, and mentor junior engineers.
  • Communicate technical solutions effectively to both technical teams and executive stakeholders.
Required Skills & Qualifications
  • 8+ years of professional software engineering experience delivering production applications.
  • Strong programming expertise in one or more of:
    • Python
    • JavaScript / TypeScript
    • Java
    • Go
  • Experience designing scalable distributed systems and RESTful APIs.
  • Hands-on experience with AI/GenAI technologies including:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI workflows
  • Experience integrating enterprise applications, APIs, and automation platforms.
  • Strong SQL skills and experience with modern data platforms such as:
    • Snowflake
    • Databricks
  • Experience with cloud platforms:
    • AWS
    • Microsoft Azure
    • Google Cloud Platform (GCP)
  • Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
  • Strong customer-facing consulting or implementation experience.
  • Excellent verbal and written communication skills.
  • Proven ability to lead projects independently in fast-paced, ambiguous environments.

Jobcon Logo Position Details

Posted:

Jul 24, 2026

Reference Number:

32439-5039

Employment:

Full-time

Salary:

Not Available

City:

Frisco

Job Origin:

CIEPAL_ORGANIC_FEED

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Key Responsibilities

  • Partner with customers and internal stakeholders to understand workflows, business challenges, and technical requirements.
  • Design, develop, and deploy production-ready software solutions using AI/GenAI, data platforms, and cloud technologies.
  • Build integrations with APIs, enterprise applications, and third-party systems.
  • Develop rapid prototypes and Proof of Concepts (POCs), iterate based on customer feedback, and transition solutions into production.
  • Design and maintain scalable data pipelines and workflow automations.
  • Collaborate with product and engineering teams to influence product roadmap based on customer insights.
  • Monitor deployed solutions to ensure reliability, scalability, performance, and customer adoption.
  • Troubleshoot production issues and provide technical guidance during deployments.
  • Establish engineering best practices, deployment playbooks, and mentor junior engineers.
  • Communicate technical solutions effectively to both technical teams and executive stakeholders.
Required Skills & Qualifications
  • 8+ years of professional software engineering experience delivering production applications.
  • Strong programming expertise in one or more of:
    • Python
    • JavaScript / TypeScript
    • Java
    • Go
  • Experience designing scalable distributed systems and RESTful APIs.
  • Hands-on experience with AI/GenAI technologies including:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI workflows
  • Experience integrating enterprise applications, APIs, and automation platforms.
  • Strong SQL skills and experience with modern data platforms such as:
    • Snowflake
    • Databricks
  • Experience with cloud platforms:
    • AWS
    • Microsoft Azure
    • Google Cloud Platform (GCP)
  • Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
  • Strong customer-facing consulting or implementation experience.
  • Excellent verbal and written communication skills.
  • Proven ability to lead projects independently in fast-paced, ambiguous environments.

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