Senior IT Architect - AI & Cloud Modernization Leader

NextEra Energy Resources, LLC; Juno Beach (FL); On-site; USD 180,000 - 260,000; Full time

Job summary

NextEra Energy Resources, LLC seeks a Principal IT Architect to lead architecture for AI-enabled platforms supporting NEET Transmission and NEER Development. Translate strategic direction into reference architectures, guide modernization, ensure security and reliability, and mentor teams across cloud and on-prem environments.

You will drive AI/ML and GenAI initiatives, establish governance, and collaborate with Enterprise Architecture, Cybersecurity, Data Governance, and delivery teams to

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Information Systems, Data Science, or a related discipline, or equivalent relevant professional experience.
• 10+ years of progressive experience in information technology, software engineering, solution architecture, enterprise architecture, cloud architecture, application development, or related disciplines.
• Demonstrated experience leading architecture for complex enterprise applications, platforms, or modernization programs.
• Expert-level knowledge of AWS and/or Google Cloud Platform Infrastructure as a Service (IaaS).
• Experience designing secure, resilient, scalable, and cost-effective cloud or hybrid-cloud architectures.
• Strong knowledge of application architecture, integration patterns, APIs, data architecture, cybersecurity, and modern software-engineering practices.
• Experience developing architecture roadmaps and translating target-state designs into executable delivery plans.
• Demonstrated hands-on experience designing and delivering production-grade machine learning and generative AI solutions in an enterprise environment.
• Deep understanding of transformer models, large language models, retrieval-augmented generation, agent frameworks, multi-agent architectures, and model orchestration.
• Hands-on experience with one or more enterprise AI platforms, including Amazon Bedrock, Amazon SageMaker, Google Vertex AI, Gemini, Azure OpenAI, or comparable services.
• Experience with vector databases, embeddings, semantic search, orchestration layers, enterprise data grounding, and AI observability.
• Experience architecting production agent systems using tool integration, function calling, context engineering, enterprise APIs, and controlled access to business systems.
• Experience applying MLOps and LLMOps practices, including model, prompt, and configuration versioning; automated evaluation; deployment; monitoring; governance; and lifecycle management.
• Experience establishing formal evaluation and validation processes for AI solutions, including prompt evaluation, hallucination mitigation, safety guardrails, quality thresholds, and human validation.
• Strong understanding of Responsible AI, AI security, data privacy, model and vendor risk, explainability, auditability, least-privilege access, and human accountability.
• Experience integrating AI solutions with enterprise applications, data platforms, APIs, identity services, and cloud infrastructure.
• Experience partnering with Enterprise Architecture, Cybersecurity, Data Governance, Cloud Infrastructure, and other specialized technology teams.
• Ability to lead technical teams and influence decisions without direct reporting authority.
• Strong business-facing communication, facilitation, and executive-presentation skills.

Responsibilities

• Defines current-state, target-state, and transition architectures for the NEET Transmission and NEER Development technology portfolios.
• Develops and executes modernization roadmaps that improve scalability, reliability, cybersecurity, supportability, and cost efficiency.
• Serves as the primary liaison with Enterprise Architecture and ensures portfolio solutions align with enterprise strategies, standards, and approved technology patterns.
• Provides architecture leadership for complex initiatives involving transmission planning, interconnection, renewable development, engineering analysis, modeling, analytics, and related business processes.
• Leads solution design across application, integration, API, data, cloud, infrastructure, security, machine learning, and generative AI domains.
• Establishes reusable reference architectures, design patterns, architecture decision records, and technical standards.
• Evaluates legacy applications and recommends rehost, replatform, refactor, replace, rebuild, or retire strategies.
• Provides expert guidance for AWS and/or Google Cloud Platform infrastructure architectures, including compute, storage, networking, identity, security, observability, resiliency, disaster recovery, and cost optimization.
• Leads the end-to-end architecture and delivery of machine learning and generative AI solutions from use-case evaluation through production deployment, monitoring, support, and lifecycle management.
• Defines scalable patterns for retrieval-augmented generation, vector search, embeddings, multi-agent architectures, model orchestration, tool use, function calling, and enterprise-system integration.
• Establishes formal AI evaluation and validation practices, including prompt evaluation, model-quality testing, grounding and citation validation, safety guardrails, hallucination mitigation, human-in-the-loop controls, and measurable acceptance criteria.
• Establishes Responsible AI architecture practices addressing security, privacy, data governance, explainability, auditability, model risk, human accountability, and regulatory requirements.
• Advances MLOps and LLMOps practices for model and prompt versioning, deployment, evaluation, monitoring, observability, governance, incident management, and performance optimization.
• Guides development teams in the use of AI-assisted engineering, agentic development workflows, and AIDLC practices while establishing appropriate quality gates for AI-generated code, tests, designs, and documentation.
• Leads architecture reviews, technical evaluations, proofs of concept, vendor assessments, and build-versus-buy decisions.
• Communicates architecture options, risks, costs, trade-offs, and recommendations clearly to technical teams, business partners, and senior leadership.
• Mentor developers, engineers, architects, and technical leads while providing direction to vendors, consultants, and delivery partners.
• Build AI architecture and engineering capability across the team through reusable patterns, technical standards, coaching, demonstrations, and communities of practice.

Skills

Enterprise architecture

Cloud architecture

AI/ML architecture

Security & compliance

Leadership without authority

Education

Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or related field

Tools

AWS

GCP

Azure

Job description

NextEra Energy Resources, LLC seeks a Principal IT Architect to lead architecture for AI-enabled platforms supporting NEET Transmission and NEER Development. Translate strategic direction into reference architectures, guide modernization, ensure security and reliability, and mentor teams across cloud and on-prem environments.

You will drive AI/ML and GenAI initiatives, establish governance, and collaborate with Enterprise Architecture, Cybersecurity, Data Governance, and delivery teams to