Xylem · 1 day ago
AI Solutions Architect
Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact. The AI Solutions Architect will translate business challenges into AI solutions, architect end-to-end AI systems, and provide technical leadership while collaborating with various teams to implement innovative water technology solutions.
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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
Qualification
Required
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
Preferred
Additional certifications in AI/ML technologies are preferred
Benefits
Medical
Dental
Vision plans
401(k) with company contribution
Paid time off
Paid parental leave
Tuition reimbursement
Company
Xylem
Xylem is the global leader in advanced technologies, solutions and services that address the world’s biggest water challenges.
H1B Sponsorship
Xylem has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (33)
2024 (8)
2021 (5)
2020 (5)
Funding
Current Stage
Late StageLeadership Team
Recent News
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