AI Solutions Architect

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. THE ROLE We are seeking an experienced, highly adaptable, curious, and fast‑thinking AI Solutions Architect to design, prototype, and deliver innovative AI capabilities across internal use cases. The ideal candidate combines a strong foundational understanding of AI/ML technologies with a proactive drive to stay ahead of industry advancements, especially in generative AI and emerging architectures. CORE 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. QUALIFICATIONS Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent work experience. Certifications in AI/ML technologies are preferred. 7+ years in solution architecture with proficiency in data architecture, including data pipelines, warehousing/Lakehouse concepts, APIs and integration patterns. Strong understanding of security, privacy, compliance, and responsible AI principles. Deep knowledge of machine learning, generative AI, LLMs, RAG, prompt engineering, vector databases, and model evaluation frameworks. Experience translating business requirements into solution architectures, technical roadmaps, and implementation plans. Experience working cross‑functionally with engineering, product, data teams, and business stakeholders to deliver measurable outcomes. Knowledge of MLOps/LLMOps practices such as CI/CD, model monitoring, observability, versioning, governance, and lifecycle management. Exceptional curiosity, adaptability, and proactive mindset. Strong problem‑solving skills and a “builder” mentality. Excellent communicator to both technical and business audiences. Collaborative and supportive partner to cross‑functional teams. BENEFITS Flexible Time Off (FTO) Health, dental, and vision plans Investment savings plan and bonus Equity incentive 401(k) with company contribution Paid time off and paid parental leave Tuition reimbursement COMPENSATION The estimated salary range for this position is $150,000 to $175,000 plus bonus. Starting pay is dependent on multiple factors including skills, experience, and work location. EEO STATEMENT 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. We reserve the right to modify this job description and assign additional duties as needed. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. #J-18808-Ljbffr