Ai Architect

Job Title:

AI Architect

Job Description

This role leads the exploration, design, and implementation of AI and automation solutions that drive productivity and operational excellence across the organization. You will define and execute the AI pilot roadmap, establish internal AI standards and playbooks, and architect production-grade automations and Power Platform solutions. This position offers the opportunity to shape the company's AI strategy from the ground up, partnering closely with business and technical stakeholders to deliver measurable outcomes.

Responsibilities

+ Define and lead the AI pilot roadmap, partnering with leaders across Administration, Engineering, IT, Energy Management, and other functions to identify, prioritize, and deliver high-value AI use cases.

+ Own the internal AI playbook and AI usage guidelines, establishing standards for approved tools, prompt patterns, guardrails, data handling, and proven workflows.

+ Document AI pilots, retrospectives, lessons learned, and recommendations to support broader rollout and continuous improvement.

+ Lead AI-related training, live demonstrations, and recurring office hours across the company, acting as a technical reference for power users and a constructive voice for staff who require deeper justification before adoption.

+ Evaluate emerging AI tools, vendors, and platforms, and recommend build-versus-buy decisions while clearly presenting outcomes, return on investment, and risks to leadership.

+ Establish and maintain standards for automation and Power Platform solutions, including code quality, testing practices, documentation, release coordination, and post-deployment monitoring to ensure long-term maintainability and reliable handoffs.

+ Architect and deliver production-grade automations using Python (including Docker-based deployments), AWS Lambda or comparable serverless platforms, Microsoft 365, and supporting scripts in Power Shell, JavaScript, or SQL.

+ Own code quality, monitoring, documentation, and handoff standards for all automation solutions to ensure they are robust, maintainable, and well-understood by stakeholders.

+ Identify high-impact automation opportunities across departments, and lead discovery, scoping, solution design, and end-to-end delivery with limited oversight.

+ Provide technical guidance on selected IT and Microsoft 365 administrative tasks, partnering with IT on security, identity, and integration considerations.

+ Co-administer Power Apps used by Business Development, Construction, and Engineering Operations in collaboration with the Data Analytics Engineer, and lead enhancement design discussions and backlog prioritization with a third-party development partner.

+ Own permissions, roles, data quality, and day-to-day administration across Dataverse and related environments, ensuring consistent governance and reliability.

+ Lead testing cycles, release coordination, and post-release validation for Power Platform solutions to ensure smooth deployments and high user satisfaction.

+ Lead Salesforce-to-Power App data migration validation and reconciliation, and provide cutover support to ensure accurate and reliable data transitions.

+ Build and maintain Power App dashboards for pipeline, operations, and leadership reporting, ensuring they are accurate, insightful, and aligned with stakeholder needs.

+ Produce high-quality user guides, release notes, and training materials suitable for company-wide distribution to support adoption and effective use of AI and automation tools.

+ Communicate clearly with nontechnical stakeholders, translating business requirements into working solutions and constructively pushing back on scope or requirements when needed to maintain quality and feasibility.

Essential Skills

+ At least 5+ years of relevant experience in business applications, automation, data engineering, AI/ML enablement, or a closely related field.

+ Production experience in at least two of the following:
Python, AWS Lambda or comparable serverless platforms, REST API integrations, SQL.

+ Demonstrated track record of leading at least one AI or automation initiative from ideation through user adoption with measurable outcomes.

+ Strong Microsoft 365 fluency, including Excel, SharePoint, Teams, and Outlook, with the ability to translate business requirements from nontechnical stakeholders into working solutions.

+ Clear written and verbal communication skills, including the ability to document standards, present recommendations and findings to leadership, and constructively challenge scope or requirements.

+ Working knowledge of modern AI tools and patterns, including platforms such as ChatGPT and Copilot, software development kits (SDKs), retrieval-augmented generation (RAG), and prompt design.

+ Hands-on experience with scripting and automation using languages such as Python, Power Shell, and JavaScript.

+ Practical experience with AWS and serverless architectures, particularly AWS Lambda, for building scalable automation solutions.

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