Technical Lead, Automation & AI Enablement
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate like cookie/navigation/legal/EEO etc. Must preserve all substantive info.
We need to parse the posting.
Let's extract sections:
- Role Summary: description about TireHub, Hubbers, Automation & AI Enablement Technical Lead responsibilities. This could be "About the role" or "Role Summary". Use About the role
with paragraphs.
- Role Specifics: includes Team Leadership & People Development, AI & Automation Architecture, AI Enablement & Automation Engineering, Delivery & Operations. Could be under "Responsibilities". We'll list bullet points.
- Competencies: list of competencies (People Leadership, Innovation Orientation, etc.) Could be under "Skills" or "Qualifications". Might be "Skills".
- Education/Experience: list of education and experience requirements. Could be under "Qualifications" or "Requirements". We'll treat as "Qualifications".
- Required Knowledge, Skills, and Abilities: list of required KSAs. Could be under "Skills" or "Requirements". Might be "Requirements".
- Preferred Knowledge, Skills, and Abilities: truncated (Experience with M...). Probably incomplete; but we have some content: "Preferred Knowledge, Skills, and Abilities: Experience with M". It's incomplete; maybe we should ignore if not substantive? It says "Experience with M". That's not substantive; maybe we drop.
- Benefits: list after "When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance option..." includes many benefits. So we need Benefits section.
- Pay: not mentioned. So no Pay section.
- Schedule: not mentioned. So no Schedule.
We must not include sections with filler like "commensurate with experience". Not present.
We need to preserve all substantive info. So we need to include details from Role Summary, Role Specifics (subsections), Competencies, Education/Experience, Required KSAs, Benefits.
We must not repeat job title. Use headings.
We need to use - for any list of duties/requirements/benefits, and
for prose.
We must not include markdown fences.
Let's craft.
First, About the role: combine Role Summary paragraph(s). Might be multiple paragraphs. We'll put as
.
Then Responsibilities: combine Role Specifics subpoints. Could be bullet list.
We need to decide grouping: maybe separate sub-sections under Responsibilities? But only headings allowed are those listed; we cannot add custom headings like "Team Leadership". So we can just list all responsibilities as bullet points under Responsibilities.
Similarly, Skills: could include Competencies and Required KSAs? But we have both Competencies and Required KSAs. Could combine into Skills section. But we also have Education/Experience separate.
We could have sections: About the role, Responsibilities, Qualifications (Education/Experience), Skills (Competencies + Required KSAs), Benefits.
Check if any content for Pay/Schedule: none.
Now extract details.
Role Summary text:
"Role Summary: At TireHub we move more than tires – we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers – because they’re at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes – to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance optionTireHub funded Health Savings AccountAdditional benefit options including TireHub paid short/long term disability and life insurance benefitsPaid vacation and holidays Parental leave programsBuild your financial future with 401k including TireHub matchAccess to tire discounts, perks, and so much more!Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special"
Note: The benefits text is appended after the role summary without spacing. We'll separate benefits later.
Thus About the role paragraph should include up to before benefits? Actually the benefits start after "When you say YES to something bigger: Choose your day one benefits". That is part of benefits section. So we should cut off before that.
Thus About the role text: "At TireHub we move more than tires – we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers – because they’re at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes – to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics."
Now Responsibilities: from Role Specifics sections.
Let's extract bullet points:
Team Leadership & People Development:
- Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values.
- Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports.
- Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program.
- Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity.
- Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model.
AI & Automation Architecture:
- Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry.
- Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs.
- Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack.
- Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility.
- Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements.
- Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions.
- Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality.
AI Enablement & Automation Engineering:
- Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions.
- Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails.
- Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value.
- Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems.
- Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks.
- Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories.
- Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized.
- Maintains comprehensive technical documentation and establish knowledge standards across the team.
Delivery & Operations:
- Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team.
- Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions.
- Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities.
- Ensures individual and team adherence to TireHub policies, procedures, and guidelines.
- Complete other tasks assigned by their supervisor or another member of Leadership, as requested.
Now Competencies list:
People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement.
Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success.
Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute.
Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions.
Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs.
Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge.
Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance.
Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences.
Now Education/Experience:
- Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus.
- 7+ years of experience in automation engineering, solution architecture, or a related technical role.
- 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages).
- 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications.
- Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources.
- Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices.
- 2+ years of direct people
- for any list of duties/requirements/benefits, and
for prose. We must not include markdown fences. Let's craft. First, About the role: combine Role Summary paragraph(s). Might be multiple paragraphs. We'll put as
. Then Responsibilities: combine Role Specifics subpoints. Could be bullet list. We need to decide grouping: maybe separate sub-sections under Responsibilities? But only headings allowed are those listed; we cannot add custom headings like "Team Leadership". So we can just list all responsibilities as bullet points under Responsibilities. Similarly, Skills: could include Competencies and Required KSAs? But we have both Competencies and Required KSAs. Could combine into Skills section. But we also have Education/Experience separate. We could have sections: About the role, Responsibilities, Qualifications (Education/Experience), Skills (Competencies + Required KSAs), Benefits. Check if any content for Pay/Schedule: none. Now extract details. Role Summary text: "Role Summary: At TireHub we move more than tires – we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers – because they’re at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes – to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics. When you say YES to something bigger: Choose your day one benefits which include a no cost health insurance optionTireHub funded Health Savings AccountAdditional benefit options including TireHub paid short/long term disability and life insurance benefitsPaid vacation and holidays Parental leave programsBuild your financial future with 401k including TireHub matchAccess to tire discounts, perks, and so much more!Enjoy access to the TireHub headquarters location in Ravinia Plaza including free parking, free gym, convenient restaurants, outdoor spaces, special" Note: The benefits text is appended after the role summary without spacing. We'll separate benefits later. Thus About the role paragraph should include up to before benefits? Actually the benefits start after "When you say YES to something bigger: Choose your day one benefits". That is part of benefits section. So we should cut off before that. Thus About the role text: "At TireHub we move more than tires – we move businesses forward, support communities, and help keep America rolling. And behind it all? Our people. We call them Hubbers – because they’re at the center of everything we do. From behind the wheel to the warehouse floor, from customer calls to corporate strategy, every Hubber plays a role in something bigger than themselves. And we show up every day ready to say yes – to challenges, to each other, and to getting it done right. The Automation & AI Enablement Technical Lead is a hands-on technical leader responsible for architecting and delivering TireHub's enterprise automation and AI enablement programs. This role drives end-to-end solution design and execution across the full Microsoft automation and AI stack - Power Platform, Copilot Studio, and Microsoft Foundry - while directly managing and developing a team of engineers. This leader translates complex business problems into production-ready AI-powered automation solutions, partners with stakeholders to identify and prioritize high-value opportunities, and owns the technical direction, delivery quality, and capability growth of the team. The role requires equal command of automation, AI agent design and orchestration, and the integration patterns that connect them across enterprise systems. This role will report to the Sr. Leader, BI & Analytics." Now Responsibilities: from Role Specifics sections. Let's extract bullet points: Team Leadership & People Development: - Directly manage, mentor, and develop a team of engineers, fostering a high-performance culture aligned with TireHub's values. - Set clear goals, provide regular feedback, and support the professional growth and career development of direct reports. - Establishes team standards for solution design, documentation, testing, and deployment practices across the automation and AI program. - Acts as a force multiplier: translate business priorities into clear technical direction, unblock team members, and ensure consistent delivery velocity. - Coordinates effectively across onshore and offshore team members, adapting communication and workflows to support a distributed team model. AI & Automation Architecture: - Designs and own the enterprise architecture for TireHub's automation and AI enablement programs, spanning Power Platform, Copilot Studio, and Microsoft Foundry. - Establishes architecture patterns that connect AI agents, automated workflows, and enterprise systems - including Microsoft Fabric, Dataverse, Azure services, ERP system, and third-party APIs. - Defines technical standards, governance frameworks, and best practices for solution design, security, and lifecycle management across the automation and AI stack. - Leads evaluation of new Microsoft AI and automation capabilities, running rapid proof-of-concepts and pilots to assess business value and implementation feasibility. - Partners with IT security to ensure automation and AI solutions adhere to data privacy, access control, and compliance requirements. - Collaborates with business stakeholders to build deep understanding of core business processes and translate that context into scalable, AI-powered automation solutions. - Provides technical leadership across complex, cross-functional initiatives - guiding design decisions, reviewing solution architecture, and ensuring delivery quality. AI Enablement & Automation Engineering: - Leads the design, development, and deployment of AI agents and copilots using Microsoft Copilot Studio, including conversational agents, task automation bots, and orchestrated multi-agent solutions. - Architects and implements AI solutions on Microsoft Foundry, including model selection and grounding, prompt engineering, RAG (retrieval-augmented generation) patterns, and responsible AI guardrails. - Builds and modernize end-to-end automation workflows using Microsoft Power Automate, Power Apps, Logic Apps, and Azure integration services - connecting automated processes with AI capabilities where they add business value. - Designs robust integration layers using REST APIs, Dataverse, Service Bus, and Azure services to connect automation and AI solutions across TireHub's enterprise systems. - Ensures reliability, observability, and security of deployed solutions through comprehensive error handling, logging, alerting, and monitoring frameworks. - Partners with business units to analyze processes end-to-end, identify AI and automation opportunities, and translate functional requirements into technical specifications and user stories. - Delivers technical demonstrations and enablement sessions to stakeholders to drive adoption and ensure the full value of AI and automation investments is realized. - Maintains comprehensive technical documentation and establish knowledge standards across the team. Delivery & Operations: - Operates within an Agile/Sprint environment; lead sprint planning and delivery cadence for the automation and AI team. - Balances direct technical contribution with oversight responsibilities, contributing to solution design, code review, and architecture decisions. - Demonstrates a commitment to continuous learning by researching, recommending, and applying emerging automation and AI techniques to advance TireHub's capabilities. - Ensures individual and team adherence to TireHub policies, procedures, and guidelines. - Complete other tasks assigned by their supervisor or another member of Leadership, as requested. Now Competencies list: People Leadership: Establishes clear expectations, provides ongoing coaching and feedback, and develops the technical and professional capabilities of direct reports. Builds a team culture grounded in accountability, collaboration, and continuous improvement. Innovation Orientation: Demonstrates a high degree of commitment to creating and exploring innovative approaches - particularly at the intersection of AI and automation - that enhance performance and drive organizational success. Entrepreneurship/Intrapreneurship: Identifies and evaluates opportunities for AI-powered automation with a business-focused mindset (e.g., cost savings, efficiency gains, competitive advantage) and takes decisive action to execute. Organizational Awareness: Uses knowledge of systems, processes, and culture inside TireHub to identify high-value automation and AI opportunities and understand the cross-functional impact of proposed solutions. Collaborates: Builds strong partnerships and works collaboratively with business stakeholders, IT, and vendor partners to design and deliver automation and AI solutions that meet real business needs. Agility and Adaptability: Thrives in a fast-moving AI landscape; actively monitors and experiments with emerging Microsoft AI and automation capabilities to keep TireHub's program at the leading edge. Problem-Solving: Advanced critical thinking skills to diagnose and resolve complex technical issues across automation workflows, AI agent behavior, integration failures, and system performance. Communication: Excellent communication skills to interact with team members, stakeholders, and external partners. Excels at translating AI and automation concepts into clear business value for non-technical audiences. Now Education/Experience: - Bachelor's degree in Computer Science, Information Systems, or related field is preferred. Master's degree is a plus. - 7+ years of experience in automation engineering, solution architecture, or a related technical role. - 5+ years of hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). - 2+ years of experience designing and deploying AI-powered solutions, including conversational AI, AI agents, or LLM-based applications. - Demonstrated experience with Microsoft Copilot Studio, including agent design, topic authoring, channel deployment, and integration with enterprise data sources. - Experience with Microsoft Foundry (Azure AI Foundry) including model deployment, prompt engineering, RAG pipelines, and responsible AI practices. - 2+ years of direct people