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. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

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 strong foundational understanding of AI/ML technologies with a proactive drive to stay ahead of industry advancements, especially in generative AI and emerging architectures.

This role bridges business needs and technical execution, architecting dynamic solutions that leverage LLMs, traditional ML, data pipelines, RAG, agents, and enterprise integrations.

We offer a full benefits package to include Flexible Time Off (FTO), health, dental, vision, investment savings plan, bonus, equity incentive, and additional miscellaneous benefits.

Core Responsibilities

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 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, including access control, data protection, and risk mitigation

Deep understanding 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

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 estimated salary range for this position is $150,000 to $175,000 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.

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