AI Solutions Architect

Overview

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.

• 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/Dev Ops 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

• 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

• 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, Tensor Flow, scikit-learn)
• Familiarity with LLM ecosystems (OpenAI, Hugging Face, Lang Chain 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

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.