Principal Software Engineer - AI Solutions

InsightChandler, AZ
3d$130,000 - $150,000Remote

About The Position

As a Principal Software Engineer (PSE), AI Solutions, you will play a senior, hands-on role in building and delivering AI-powered solutions that support our clients’ transformation initiatives. You will work closely with AI Architects and cross‑functional teams to implement scalable, high-quality systems across AI, cloud, data, and software engineering. This role is ideal for experienced engineers who enjoy deep technical execution, solution-level design, and mentoring, and who want to operate at the leading edge of applied AI without owning enterprise-wide architecture or technical strategy.

Requirements

  • Bachelor’s degree in a technical field or equivalent hands-on engineering experience.
  • Strong experience in software engineering with demonstrated delivery of complex, production-grade systems.
  • Practical depth in at least one of the following areas, with working knowledge across others: AI/ML & Agentic Systems
  • Implementing GenAI and agentic workflows
  • Integrating LLMs, embeddings, and retrieval systems
  • Supporting ML/LLMOps pipelines and experimentation frameworks
  • Cloud Engineering
  • Building cloud-native applications on Azure and/or AWS
  • Applying distributed systems and scalability patterns
  • Data Engineering & Analytics
  • Implementing data pipelines, vector stores, and analytics workloads
  • Working with structured and unstructured data sources
  • Software Engineering
  • Proficiency in Python, SQL, Java, C++, or similar languages
  • Experience with modern frameworks, DevOps practices, and CI/CD pipelines

Nice To Haves

  • AWS: ML Specialty, AI Practitioner, ML Engineer, or Solutions Architect
  • Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals
  • Databricks: ML Associate, Data Engineer Associate, Generative AI Engineer Associate

Responsibilities

  • Design and implement solution-level components for AI, ML and data science initiatives.
  • Translate business and technical requirements into detailed designs, code, and implementation plans.
  • Serve as a technical lead for AI-focused workstreams, ensuring high-quality execution and delivery outcomes.
  • Build, test, and deploy AI, ML, cloud, analytics, and software solutions in production environments.
  • Collaborate closely with AI Architects to align implementation decisions with broader architectural intent.
  • Contribute to technical excellence through code reviews, mentoring engineers, and sharing best practices.
  • Support presales and discovery activities by contributing technical insight, estimates, and feasibility assessments.
  • Stay current with emerging AI technologies and help apply them pragmatically to client solutions.

Benefits

  • Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
  • Full medical, dental, vision, and company 401k match.
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