Senior AI Solutions and Platform Engineer

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 23000 employees operating in over 150 countries Xylem is at the forefront of addressing the worlds 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 /
• 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

Qualifications:

Education

• Bachelors or Masters degree in Computer Science Engineering or related field. Or 5 equivalent working experience
• Certifications in AI/ML cloud engineering or platform engineering (preferred)

Technical Skills

• Strong Python JavaScript/TypeScript
• Experience building AI/ML features and pipelines
• Backend development using Flask FastAPI Django
• Frontend development experience with React Angular or
• 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

Business & Collaboration Skills

• 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

Preferred

• Internal platform or AI governance framework experience
• Building reusable accelerators and shared capabilities
• Vector databases RAG prompt engineering expertise

The estimated salary range for this position is $115000 to $180000 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.

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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.