AI Solutions Architect

Xylem • Charlotte, NC

2d

About The Position

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Solution Architecture & Innovation Translate business challenges into well-scoped AI solutions, balancing feasibility, value, cost, and speed. Architect end-to-end AI systems—including data ingestion, model training, inference pipelines, monitoring, and governance. Design and refine LLM/RAG architectures, agent workflows, and prompt engineering patterns Rapidly explore emerging tools/techniques to extend AI capabilities across the organization Build reusable reference architectures and best practices for internal teams Technical Leadership & Execution Partner with engineering, data science, and product teams to guide implementation Conduct PoCs, prototypes, and pilots to validate technical suitability before scaling Ensure solutions meet performance, security, compliance, and cost-efficiency requirements Integrate AI capabilities into existing systems, both cloud and legacy Work with MLOps/DevOps to establish robust CI/CD, observability, and lifecycle management Strategy, Governance & Cross-Functional Collaboration Complement the Product team by defining the technical AI/ML roadmap, assessing feasibility, shaping the use-case pipeline, and specifying the architecture required to deliver prioritized initiatives Provide expertise on responsible AI, privacy, and risk-aware design Communicate complex concepts to stakeholders at all levels Mentor engineers and data scientists on architecture, quality, and emerging AI capabilities QUALIFICATIONS: Education Bachelor's or Master's degree in Computer Science, Engineering, or related field. OR equivalent work experience. Additional certifications in AI/ML technologies are preferred Technical Background 7+ years in software or solution architecture; 3–5+ years in AI/ML, data science, or ML engineering Strong hands-on foundations in Python and modern AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) Familiarity with LLM ecosystems (OpenAI, Hugging Face, LangChain or equivalents) Experience designing data pipelines, APIs, distributed systems, and feature stores Exposure to MLOps tools and practices (CI/CD, model registry, monitoring, drift detection) Strong cloud knowledge (AWS, Azure, or GCP) Technical Background 7+ years in software or solution architecture; 3–5+ years in AI/ML, data science, or ML engineering Strong hands-on foundations in Python and modern AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) Familiarity with LLM ecosystems (OpenAI, Hugging Face, LangChain or equivalents) Experience designing data pipelines, APIs, distributed systems, and feature stores Exposure to MLOps tools and practices (CI/CD, model registry, monitoring, drift detection) Strong cloud knowledge (AWS, Azure, or GCP) Mindset & Soft Skills Exceptionally curious, adaptive, and proactive, stays ahead of fast-changing AI technologies Fast learner with ability to shift between conceptual and hands-on tasks Strong problem solver with a “builder” mentality Comfortable with ambiguity, rapid experimentation, and iterative design Excellent communicator to both technical and business audiences Collaborative and supportive partner to cross-functional teams The salary range for this position is $120,000 to $180,000 plus bonus. Starting pay is dependent on multiple factors, such as skills, experience, and work location, and is not typically at the top of the range. At Xylem, we offer a competitive compensation package with a generous benefit package, including Medical, Dental, and Vision plans, 401(k) with company contribution, paid time off, paid parental leave, and tuition reimbursement. Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world. At Xylem, you'll not only contribute to solving water issues but also have the chance to make a difference through our paid Volunteer Program, Xylem Watermark. We prioritize our employees' well-being through inclusion and belonging as well as our Employee Resource Groups (ERG). Proud to be an Equal Employment Opportunity (including disability and veterans) and Affirmative Action workplace, Xylem fosters an inclusive environment free from discrimination or harassment. Please note that the information in this job description outlines the general nature of the position and is not an exhaustive list of duties. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. We reserve the right to modify this job description and assign additional duties as needed. Embrace the opportunity to be part of Xylem's transformative journey in shaping the future of water technology! #XylemCareers #GlobalImpact #WaterInnovation

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field. OR equivalent work experience.
• 7+ years in software or solution architecture; 3–5+ years in AI/ML, data science, or ML engineering
• Strong hands-on foundations in Python and modern AI/ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Familiarity with LLM ecosystems (OpenAI, Hugging Face, LangChain or equivalents)
• Experience designing data pipelines, APIs, distributed systems, and feature stores
• Exposure to MLOps tools and practices (CI/CD, model registry, monitoring, drift detection)
• Strong cloud knowledge (AWS, Azure, or GCP)
• Exceptionally curious, adaptive, and proactive, stays ahead of fast-changing AI technologies
• Fast learner with ability to shift between conceptual and hands-on tasks
• Strong problem solver with a “builder” mentality
• Comfortable with ambiguity, rapid experimentation, and iterative design
• Excellent communicator to both technical and business audiences
• Collaborative and supportive partner to cross-functional teams

Nice To Haves

• Additional certifications in AI/ML technologies are preferred

Responsibilities

• Translate business challenges into well-scoped AI solutions, balancing feasibility, value, cost, and speed.
• Architect end-to-end AI systems—including data ingestion, model training, inference pipelines, monitoring, and governance.
• Design and refine LLM/RAG architectures, agent workflows, and prompt engineering patterns
• Rapidly explore emerging tools/techniques to extend AI capabilities across the organization
• Build reusable reference architectures and best practices for internal teams
• Partner with engineering, data science, and product teams to guide implementation
• Conduct PoCs, prototypes, and pilots to validate technical suitability before scaling
• Ensure solutions meet performance, security, compliance, and cost-efficiency requirements
• Integrate AI capabilities into existing systems, both cloud and legacy
• Work with MLOps/DevOps to establish robust CI/CD, observability, and lifecycle management
• Complement the Product team by defining the technical AI/ML roadmap, assessing feasibility, shaping the use-case pipeline, and specifying the architecture required to deliver prioritized initiatives
• Provide expertise on responsible AI, privacy, and risk-aware design
• Communicate complex concepts to stakeholders at all levels
• Mentor engineers and data scientists on architecture, quality, and emerging AI capabilities

Benefits

• Medical, Dental, and Vision plans
• 401(k) with company contribution
• paid time off
• paid parental leave
• tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees