Senior AI Solutions and Platform Engineer

Xylem • Morrisville, NC

1d • $115,000 - $180,000

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. POD Technical Leadership You Are Accountable For: Technical decisions and implementation quality within the POD Ensuring engineering velocity, code quality, and adherence to platform and architectural standards Breaking down solution architecture into executable tasks for developers Identifying risks early and enabling unblocked delivery Mentoring other engineers and elevating engineering practices You Collaborate On: Clarifying feasibility with Product Managers Working with Project Managers to align scope, dependencies, and timelines Providing feedback to Architecture on patterns and guardrails Key Activities: Lead design sessions and translate architecture into implementation plans Conduct code reviews and ensure maintainable, scalable code Drive technical decisions within the POD and resolve engineering issues quickly AI/ML Engineering You Are Accountable For: Building, integrating, and maintaining AI/ML capabilities in production Ensuring performance, reliability, monitoring, and lifecycle management of models Implementing reusable AI components aligned with platform patterns You Collaborate On: Contributing to platform-wide AI standards, reusable patterns, and governance Ensuring applied AI practices are consistent across teams Key Activities: Build LLM, RAG, NLP, and other ML-based features Integrate models via frameworks (TensorFlow, PyTorch, Hugging Face, etc.) Develop reusable inference services, templates, and accelerators Implement monitoring, evaluation, and observability for production models Full-Stack Development You Are Accountable For: Delivering end-to-end features: UI, backend, APIs, microservices Ensuring security, authentication, and RBAC in AI-enabled applications Performance optimization and scalability of services Key Activities: Build UIs using modern frameworks (React preferred) Develop APIs and backend using Flask / FastAPI / Django / Node.js Implement microservices and integrate with platform runtime Ensure secure data handling and compliance Platform Alignment and Reuse You Are Accountable For: Ensuring your solutions follow platform patterns, standards, and guardrails Contributing high-quality reusable components and accelerators Ensuring solutions integrate with platform catalog, pipelines, and observability You Collaborate On: Evolving the central AI Platform with Solution Architects Identifying gaps that require new reusable components Key Activities: Adopt platform templates and runtime components Contribute reusable libraries, inference pipelines, and integration patterns Participate in platform evolution and standards discussions System Integrations You Are Accountable For: Implementing integration logic and data flows required for your solution Ensuring secure, compliant, well-designed data integrations You Collaborate On: IT/Integration teams who maintain ownership of enterprise integration strategy Architects who define integration patterns and approvals Key Activities: Implement APIs, events, or middleware integration needed for the solution Ensure correct data mapping, validation, and secure flow Support testing and deployment of integrations

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field. Or 5+ equivalent working experience
• Strong Python + JavaScript/TypeScript
• Experience building AI/ML features and pipelines
• Backend development using Flask, FastAPI, Django, Node.js
• Frontend development experience with React, Angular, or Vue.js
• Knowledge of SQL/NoSQL databases: PostgreSQL, MongoDB, Redis
• Cloud platforms: Azure (preferred), AWS, or GCP
• DevOps & MLOps: Docker, Kubernetes, CI/CD, Terraform, model monitoring
• Experience building APIs, microservices, and distributed systems
• Strong problem-solving and analytical skills and decision – making capabilities under ambiguity
• Proven leadership experience with mentoring and coaching engineers
• Ability to translate technical complexity into clear implications for Product and Project teams
• Familiarity with AI ethics, compliance, and data governance
• Effective communication and cross-functional collaboration skills
• Ability to work in fast-paced, iterative environments

Nice To Haves

• Certifications in AI/ML, cloud engineering, or platform engineering (preferred)
• Internal platform or AI governance framework experience
• Building reusable accelerators and shared capabilities
• Vector databases, RAG, prompt engineering expertise

Responsibilities

• Technical decisions and implementation quality within the POD
• Ensuring engineering velocity, code quality, and adherence to platform and architectural standards
• Breaking down solution architecture into executable tasks for developers
• Identifying risks early and enabling unblocked delivery
• Mentoring other engineers and elevating engineering practices
• Building, integrating, and maintaining AI/ML capabilities in production
• Ensuring performance, reliability, monitoring, and lifecycle management of models
• Implementing reusable AI components aligned with platform patterns
• Delivering end-to-end features: UI, backend, APIs, microservices
• Ensuring security, authentication, and RBAC in AI-enabled applications
• Performance optimization and scalability of services
• Ensuring your solutions follow platform patterns, standards, and guardrails
• Contributing high-quality reusable components and accelerators
• Ensuring solutions integrate with platform catalog, pipelines, and observability
• Implementing integration logic and data flows required for your solution
• Ensuring secure, compliant, well-designed data integrations

Benefits

• Medical
• Dental
• 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