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Emerson

Senior AI Software Engineer

Emerson · Austin, TX

  • On site
  • Full-time
  • $130,000 / year
  • Austin, TX
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Senior AI Software Engineer
Emerson · Austin, TX
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Alex Rivera
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Subject: Interested in the Senior AI Software Engineer role at Emerson

Hi Alex — I came across the Senior AI Software Engineer opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Emerson stood out because…

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View the original posting ↗
Not recommended alone — most applicants never hear back.

Job highlights

  • Develop AI software solutions for productivity acceleration.
  • Utilize Microsoft Copilot and Power Platform.
  • Integrate AI into enterprise systems.
  • Prototype, iterate, and enable developers.
  • Collaborate to deliver measurable business value.

About the role

Senior AI Software Engineer

Emerson is seeking a Senior AI Software Engineer to design and develop AI-enabled software solutions for their Test & Measurement business unit, NI. This role will focus on accelerating productivity using tools like Microsoft Copilot and the Power Platform, rapidly prototyping ideas, and integrating applications with enterprise systems.

Responsibilities

  • Design and develop AI-enabled software solutions using Microsoft Copilot and Power Platform.
  • Rapidly prototype and iterate on ideas, learning new technologies quickly.
  • Integrate applications with enterprise systems (Microsoft ecosystem, Snowflake, Salesforce, Oracle).
  • Collaborate with product owners, analysts, and business partners to deliver value.
  • Build reusable patterns and guide others in effective use of AI tools.
  • Navigate ambiguity, adapt to shifting priorities, and maintain high standards for software quality, security, and reliability.

Who You Are

  • A hands-on senior engineer thriving in fast-moving environments.
  • Quick learner, adaptable to new technologies, energized by ambiguity.
  • Willing to experiment, fail fast, and iterate.
  • Clear communicator, comfortable presenting to technical and non-technical audiences.
  • Enjoys enabling others as much as building.

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
  • 8+ years of professional software engineering experience, including delivery of production-quality applications.
  • Strong proficiency in at least one modern programming language, with experience in Python and modern web frameworks (e.g., React, Vue, or similar).
  • Demonstrated experience building applications that integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).
  • Experience developing full-stack applications, integrating AI capabilities into intuitive user interfaces and stable back-end services.
  • Experience with Azure or other cloud platforms, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
  • Understanding of RAG architectures, vector databases, embeddings, and semantic search concepts.
  • Proven ability to rapidly prototype solutions, validate approaches, and iterate quickly.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Strong communication skills, including the ability to present and demonstrate technology to business partners.

Preferred Qualifications

  • Experience with Azure AI services (Azure OpenAI, Cognitive Services, AI Foundry).
  • Familiarity with agentic AI frameworks (LangChain, Semantic Kernel, AutoGen).
  • Experience working with enterprise data platforms (Databricks, Snowflake).
  • Experience with MLOps tools and model lifecycle practices.
  • Knowledge of industrial, manufacturing, or test & measurement domains.
  • Prior experience collaborating within globally distributed teams.

Technical Skills

  • Languages: Python, JavaScript/TypeScript, SQL
  • AI/ML: LLM APIs, RAG architectures, prompt engineering, embeddings, vector stores
  • Front-End: React, HTML/CSS, responsive design, UI/UX fundamentals
  • Back-End: FastAPI, Flask, REST APIs, microservices
  • Cloud/DevOps: Azure, Docker, Kubernetes, CI/CD pipelines, Git
  • Data: SQL databases; vector databases such as Pinecone, Weaviate, Azure AI Search; data pipelines

Key skills/competency

  • AI Software Engineering
  • Microsoft Copilot
  • Power Platform
  • LLM APIs
  • RAG Architectures
  • Python
  • Azure
  • Full-Stack Development
  • Cloud Platforms
  • DevOps

Skills & topics

  • Senior AI Software Engineer
  • AI
  • Machine Learning
  • Software Development
  • Python
  • LLM
  • RAG
  • Azure
  • Cloud Computing
  • Full-Stack Development
  • Microsoft Copilot
  • Power Platform
  • Austin
  • Texas

How to get hired

  • Tailor your resume: Highlight AI, LLM, Python, and cloud experience.
  • Showcase projects: Detail your experience with LLM APIs and full-stack development.
  • Prepare for technical interviews: Review RAG, vector databases, and Azure concepts.
  • Demonstrate collaboration skills: Be ready to discuss teamwork and enabling others.
  • Research Emerson: Understand their commitment to innovation and employee growth.

Technical preparation

Master Python and modern web frameworks.,Practice integrating LLM APIs (OpenAI, Azure).,Study RAG, vector databases, and embeddings.,Familiarize yourself with Azure and Docker.

Behavioral questions

Describe a time you navigated ambiguity.,How do you handle rapidly shifting priorities?,Share an experience enabling others' growth.,Discuss a time you failed fast and iterated.
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
View original posting ↗

Frequently asked questions

What are the primary AI tools used for the Senior AI Software Engineer role at Emerson?
The Senior AI Software Engineer role at Emerson will primarily utilize Microsoft Copilot and the Power Platform for developing AI-enabled software solutions. Familiarity with LLM APIs, RAG architectures, and related AI/ML concepts is crucial.
What programming languages and frameworks are essential for this Senior AI Software Engineer position at Emerson?
For the Senior AI Software Engineer position at Emerson, strong proficiency in Python and modern web frameworks like React, Vue, or similar is required. Experience with JavaScript/TypeScript and SQL is also beneficial.
Does Emerson offer opportunities for professional growth in AI development for this role?
Yes, Emerson emphasizes employee development and fosters an environment of innovation and collaboration. This role offers opportunities to build reusable patterns, guide others, and advance your skills in AI development.
What cloud platforms are most relevant for the Senior AI Software Engineer role at Emerson?
Experience with Azure or other cloud platforms is required for this role, including knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. Experience with Azure AI services is a plus.
What kind of problem-solving skills are expected from a Senior AI Software Engineer at Emerson?
Emerson expects Senior AI Software Engineers to possess strong analytical and problem-solving skills with high attention to detail. The ability to navigate ambiguity, adapt to shifting priorities, and deliver solutions with measurable value is key.
Is this Senior AI Software Engineer role at Emerson remote or on-site?
The job description states that this role is located in Austin, Texas, indicating it is an on-site position. While remote work is not explicitly mentioned for this specific role, Emerson's overall culture emphasizes flexibility and employee wellbeing.

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