Senior AI Software Engineer - Military veterans preferred

2025-08-15
Advanced Drainage Systems
Other

/yr

  employee   contract


Hilliard
Ohio
43026
United States

Advanced Drainage Systems

EEO Statement:

Advanced Drainage Systems is proud to be an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.


Senior AI Software Engineer

US-OH-Hilliard

Job ID: 2025-19721
Type: Regular Full-Time
# of Openings: 1
Category: IT
Mill Run

Overview

Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we deliver high-quality products across multiple industries while recycling over half a billion pounds of plastic annually. At ADS, we foster a culture where diverse perspectives drive better ideas, ensuring every employee feels valued, heard, and empowered to make an impact.



Responsibilities

We are looking for a forward-thinking Senior AI Software Engineer to lead the development of intelligent systems, including agentic AI, copilots, and advanced prompt engineering strategies. This role is ideal for someone passionate about building autonomous, context-aware AI solutions that enhance productivity and decision-making across the enterprise. 

 

Key Responsibilities 

  • Architect and implement agentic AI systems capable of autonomous decision-making and task execution. 
  • Design and develop AI copilots that assist users in complex workflows across business domains. 
  • Create and optimize prompts for large language models (LLMs) to ensure accurate, contextually relevant, and safe outputs. 
  • Collaborate with UX designers and product managers to integrate AI copilots into user-facing applications. 
  • Develop reusable prompt templates and fine-tuning strategies for domain-specific tasks. 
  • Evaluate and implement retrieval-augmented generation (RAG), tool use, and memory systems for agentic AI. 
  • Monitor and improve model performance, safety, and alignment with business goals. 
  • Stay current with advancements in generative AI, multi-agent systems, and prompt engineering techniques. 
  • Mentor junior engineers and contribute to internal knowledge sharing and best practices. 

 

Qualifications 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (Ph.D. preferred). 
  • 5+ years of experience in AI/ML development, with a strong background in software engineering. 
  • Hands-on experience with LLMs (e.g., GPT, Claude, Gemini) and frameworks like LangChain, Semantic Kernel, or OpenAI Function Calling. 
  • Deep understanding of prompt engineering, including few-shot learning, chain-of-thought prompting, and system message design. 
  • Experience building agentic systems using tools Azure AI, Agentforce, Mulesoft or custom orchestration frameworks. 
  • Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). 
  • Familiarity with cloud platforms (Azure) 
  • Strong problem-solving skills and ability to work in fast-paced, cross-functional teams. 

 

Preferred Skills 

  • Experience with multi-agent coordination, tool use, and memory management in AI systems. 
  • Knowledge of ethical AI principles, safety alignment, and responsible deployment practices. 
  • Experience integrating AI copilots into enterprise applications (e.g., ERP, CRM, productivity tools). 
  • Experience in manufacturing. 

 

Skills & Competencies 

  • Creative Problem Solving: Ability to apply AI to novel use cases and business challenges. 
  • Rapid Prototyping: Skilled in quickly building and iterating on AI prototypes and copilots. 
  • Research Translation: Ability to translate cutting-edge AI research into practical, real-world applications. 
  • Cross-Functional Collaboration: Comfortable working with product managers, designers, and business stakeholders to align AI solutions with user needs. 
  • Technical Communication: Ability to explain complex AI concepts to both technical and non-technical audiences. 
  • Mentorship: Willingness to mentor junior engineers and contribute to a culture of learning and innovation. 
  • User-Centric Design: Focus on building AI that augments human capabilities and enhances user experience. 

#LI-CH1

#LI-Onsite



Leadership Competencies



EEO Statement

ADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.


EEO StatementADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.



Equal employment opportunity, including veterans and individuals with disabilities.

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