AI Engineer is a technical talent responsible for building and operating production-grade AI applications within the architectural standards and patterns established by the platform architect.

This role leads the development of agentic AI systems, deploying scalable solutions in alignment with enterprise architecture and security standards, and translating prototypes built by data scientists and technical product managers into maintainable, monitored production services.

The AI Engineer drives engineering excellence in the squad by developing reusable components, patterns, and standards, and owns model health monitoring, post-deployment diagnostics, and structured remediation to ensure sustained AI performance at scale.

Role Responsibilities:

• Design and build AI applications tightly integrated with enterprise data and systems, leading end-to-end development across the full stack from data ingestion through model serving and application layer
• Develop agentic AI systems incorporating tool use, multi-step workflows, and robust guardrails, ensuring systems are reliable, auditable, and aligned with enterprise security standards
• Ensure AI solutions are deployed in alignment with enterprise architecture and security standards
• Work with AI Ops team to monitor model health post-deployment, diagnosing drift and degradation with structured remediation plans, and implementing automated alerting and observability frameworks to ensure sustained system performance
• Implement reusable components and shared libraries aligned with the patterns and standards defined by the platform architect, contributing practical engineering feedback to refine/evolve platform standards over time

Job Requirements and Experience:

• Master's or PhD degree in computer science, data science, STEM, or related field required
• Minimum 5 years of relevant professional experience in software or AI/ML engineering roles, with demonstrated experience building and deploying production-grade AI applications in enterprise environments
• Deep knowledge of enterprise-scale AI and software architecture, with strong proficiency in relevant ML/AI frameworks
• Strong experience developing and deploying agentic AI systems/solutions with tool use, RAG frameworks, multi-step reasoning, and guardrail implementation, ensuring robustness and auditability in production environments
• Solid understanding of model performance monitoring, drift detection, and post-deployment diagnostics, with experience implementing automated observability and structured remediation processes
• Experience partnering with technical product managers to translate experimental models into production ready services
• Independent ownership of strategic technical solutions, with the ability to mentor mid-level engineers, promote engineering standards, and lead proof-of-concept initiatives
• Effective collaboration with data infrastructure stakeholders to align AI engineering with enterprise data and platform strategies
• Proactive and quality-focused, driving continuous improvement through reusable components, shared patterns, and documentation that accelerates development across squads
• Experience with IT/OT environments, industrial data sources, or operational technology systems preferred
• Familiarity with responsible AI practices, security controls, and compliance requirements applicable to enterprise AI deployments preferred
• Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets, renewable project development, and clean energy technologies preferred
• This position is an office-based role with some travel and visits to other RWE Americas offices and field locations
• Must be able to sit, walk, or stand for long durations of time

Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or take over sponsorship of employment visas at this time.

Pay range: The annual base salary range for this position in New York is $125,000 - $188,000. The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate's education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short-term incentives, in addition to salary.

Apply with just a few clicks: ad code 92646. Any questions? Contact HR: [email protected]

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