AI Integration & Automation Developer
under Qualifications? But it's separate. Might be okay to include as a section but it's thin. Better to omit if not essential. The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text. Physical Demands has specific content, so we could include a section "Physical Demands". But we already have many sections; maybe we can combine into "Qualifications and Requirements". However the instruction says use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It suggests we can use those headings. We can choose which to include. We'll include About the role (from Summary), Responsibilities, Qualifications, Skills, Pay. Possibly also Physical Demands? Might be extra but okay. Let's decide to include About the role, Responsibilities, Qualifications, Skills, Pay. Omit Physical Demands to keep fewer sections. We need to preserve all substantive information; do not invent or summarize away detail. So we must include all details from Summary, Essential Duties, Qualifications, Other Skills And Abilities, Salary Compensation Range. We must not omit any detail. If we combine sections, we must still include all details. So we can put Summary content under About the role heading. Essential Duties under Responsibilities. Qualifications under Qualifications heading (including Education/Experience/Technical Requirements/Certifications). Other Skills And Abilities under Skills heading. Salary Compensation Range under Pay heading. We must not repeat job title as heading. No Job ID etc. Remove boilerplate like EEO etc. Also remove "Supervisory Responsibilities" maybe? It's part of responsibilities but we can include under Responsibilities. It's fine. We must use
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to decide what is a list. The Essential Duties have bullet-like paragraphs but not explicit bullet list. We could treat each duty as a
- under a
. Similarly for Qualifications: there are sub-sections like Education, Experience/Technical Requirements, Certifications. Could make lists.
We must preserve all substantive information; we can convert paragraphs to - items.
Let's extract content.
Summary paragraph:
"The AI Integration & Automation Developer designs, builds, tests, and supports AI-enabled integrations and automation solutions that improve the efficiency, scalability, and quality of Managed Services operations. This role is delivery-focused and hands-on, translating operational problems into practical automation and AI workflow solutions that reduce manual effort, improve service consistency, and create measurable business value. This position requires strong critical thinking, curiosity about emerging AI automation capabilities, and the ability to evaluate where AI, orchestration, scripting, workflow automation, or traditional process improvement will drive the best outcome. The developer will work closely with technical and operational stakeholders and may receive dotted-line technical guidance from the AI Integration & Automation Engineer."
We'll put that as
under About the role.
Essential Duties And Responsibilities: It has subheadings: AI Integration & Automation Development, Critical Thinking & Operational Problem Solving, AI Automation Delivery & Support, Managed Services, ITIL & Collaboration, General. Each has multiple sentences. We'll create a
with each duty as - . Could break each sentence into separate
- but better to keep each bullet as a duty grouping. We'll make each subheading as a
- containing the sentences.
Let's extract each:
AI Integration & Automation Development:
- Designs, develops, and maintains AI-enabled automations, integrations, and workflow solutions supporting Managed Services.
- Builds practical AI orchestration patterns that connect systems, data, prompts, APIs, scripts, and operational workflows.
- Develops automation solutions that reduce manual work, improve service delivery speed, increase consistency, or create measurable cost avoidance.
- Creates reusable components, connectors, scripts, and workflow patterns that can be leveraged across multiple use cases.
- Supports implementation of internal AI Orchestration capabilities and related automation services as part of the Managed Services automation portfolio.
Critical Thinking & Operational Problem Solving:
- Analyzes operational pain points and determines whether AI, automation, integration, process improvement, or a combination of approaches is the best solution.
- Identifies automation opportunities that address systemic problems, not only isolated manual tasks.
- Balances experimentation with production stability, supportability, security, and operational readiness.
- Uses data, outcome measures, and stakeholder feedback to validate whether automation work is creating efficiency gains or business value.
AI Automation Delivery & Support:
- Develops LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with appropriate guardrails and fallback logic.
- Integrates with enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications as needed.
- Troubleshoots automation defects, integration failures, and AI workflow issues, driving durable fixes and continuous improvement.
- Documents solution design, configuration, support steps, ownership, and knowledge articles to reduce key-person dependency.
- Participates in testing, UAT, release readiness, change control, and production support activities for automation solutions.
Managed Services, ITIL & Collaboration:
- Applies awareness of Managed Services delivery models, ITIL processes, and operational impact when designing automation solutions.
- Collaborates with engineers, service owners, process owners, developers, and stakeholders to understand requirements and validate outcomes.
- Communicates technical concepts clearly to both technical and non-technical audiences.
- Stays current on emerging AI automation development practices, AI orchestration patterns, LLM tooling, integration frameworks, and service operations trends.
General:
- Demonstrates and actively promotes an understanding and commitment to the mission of Logicalis through behaviors consistent with the organization's values.
- Maintains a working knowledge of applicable Federal, State, and Local laws and regulations as well as policies and procedures of Logicalis in order to ensure adherence in a manner that reflects honest, ethical, and professional behaviors.
- Supports and conducts self in a manner consistent with customer service expectations.
Supervisory Responsibilities: This job has no supervisory responsibilities. The role may receive dotted-line technical guidance from senior AI automation resources and may collaborate with other developers, engineers, and process owners.
We could include that as a
- under Responsibilities as well.
Now Qualifications: It has Education/Experience/Technical Requirements/Certifications.
Education:
- Bachelor’s degree in computer science, information technology, software engineering, or related field, or equivalent experience.
Experience / Technical Requirements:
- 5+ years of experience developing automations, integrations, scripts, workflows, or application solutions in enterprise or services environments.
- Hands-on experience with automation development using tools or languages such as Python, PowerShell, JavaScript, APIs, workflow platforms, or low-code/no-code automation tools.
- Experience designing or supporting AI-enabled workflows, LLM-driven processes, AI agents, orchestration patterns, or intelligent automation solutions.
- Understanding of prompt design, structured outputs, human-in-the-loop patterns, guardrails, fallback logic, and practical considerations for production AI use cases.
- Experience integrating with operational platforms such as ITSM tools, monitoring/observability tools, cloud platforms, ticketing systems, knowledge bases, or internal business applications.
- Ability to analyze business or operational processes and convert requirements into working automation solutions.
- Working knowledge of Managed Services operations, ITIL practices, or service management processes is preferred.
- Experience with cloud environments such as Azure, AWS, or GCP is preferred.
- Experience with data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments is a plus.
- Strong troubleshooting skills with the ability to identify root causes, evaluate trade-offs, and implement sustainable fixes.
- Strong communication and collaboration skills with the ability to work across technical and operational teams.
Certifications:
- Certifications related to AI, automation, cloud platforms, ITIL, or service management are preferred but not required. (Examples may include Microsoft Azure AI Engineer, Azure Administrator Associate, AWS certifications, ITIL Foundation, or relevant automation/platform certifications.)
Other Skills And Abilities:
- Critical thinker with the ability to challenge assumptions, evaluate options, and recommend practical solutions.
- Curious and current on emerging AI automation development practices, orchestration frameworks, and service operations technology trends.
- Outcome-oriented mindset focused on measurable efficiency gains, cost avoidance, quality improvement, and operational scalability.
- Ability to operate as a hands-on developer while collaborating effectively with senior technical resources and business stakeholders.
- Strong documentation discipline, including solution design, support procedures, ownership details, release notes, and knowledge articles.
- Ability to manage multiple priorities in a fast-paced environment while maintaining quality and production stability.
- Comfortable experimenting, learning quickly, failing fast, and iterating toward durable solutions.
Physical Demands: we are omitting.
Pay: Salary Compensation Range: $77,517 - $98,000/yr.
We need to output only HTML fragment.
We'll structure:
About the role
...summary...
Responsibilities
- ...AI Integration & Automation Development...
- ...Critical Thinking & Operational Problem Solving...
- ...AI Automation Delivery & Support...
- ...Managed Services, ITIL & Collaboration...
- ...General...
- ...Supervisory Responsibilities...
Qualifications
- Education: Bachelor’s degree in computer science, information technology, software engineering, or related field, or equivalent experience.
- Experience / Technical Requirements: ... (list maybe nested? Could keep as one
- with line breaks? But we need
- for any list. Could make each bullet as separate
- under a nested list? Simpler: keep each requirement as separate
- under Qualifications. But then we lose grouping. Could do a
inside - but that's okay. However instruction: Use
- for any list of duties/requirements/benefits. So we can treat each requirement as a list item. We'll flatten all requirements into a list under Qualifications. That may lose the Education/Certifications headings but we can include them as part of the item text.
Better: Keep a heading for Education, Experience, Certifications as
maybe? But they said use
for section headings only. Could use
for those subheadings. That's acceptable.
Thus under Qualifications we can have:
Education: Bachelor’s degree ...
Experience / Technical Requirements:
- 5+ years ...
- Hands-on experience ...
...
Certifications: Certifications related ... (Examples may include ...)
That satisfies using - for list.
Similarly for Skills: we can have a
- each.
Pay:
Salary Compensation Range: $77,517 - $98,000/yr.
Now ensure we don't include any boilerplate like EEO etc. We
for prose. We need to decide what is a list. The Essential Duties have bullet-like paragraphs but not explicit bullet list. We could treat each duty as a
- . Similarly for Qualifications: there are sub-sections like Education, Experience/Technical Requirements, Certifications. Could make lists.
We must preserve all substantive information; we can convert paragraphs to
- items.
Let's extract content.
Summary paragraph:
"The AI Integration & Automation Developer designs, builds, tests, and supports AI-enabled integrations and automation solutions that improve the efficiency, scalability, and quality of Managed Services operations. This role is delivery-focused and hands-on, translating operational problems into practical automation and AI workflow solutions that reduce manual effort, improve service consistency, and create measurable business value. This position requires strong critical thinking, curiosity about emerging AI automation capabilities, and the ability to evaluate where AI, orchestration, scripting, workflow automation, or traditional process improvement will drive the best outcome. The developer will work closely with technical and operational stakeholders and may receive dotted-line technical guidance from the AI Integration & Automation Engineer."
We'll put that as
under About the role. Essential Duties And Responsibilities: It has subheadings: AI Integration & Automation Development, Critical Thinking & Operational Problem Solving, AI Automation Delivery & Support, Managed Services, ITIL & Collaboration, General. Each has multiple sentences. We'll create a
- with each duty as
- . Could break each sentence into separate
- but better to keep each bullet as a duty grouping. We'll make each subheading as a
- containing the sentences. Let's extract each: AI Integration & Automation Development: - Designs, develops, and maintains AI-enabled automations, integrations, and workflow solutions supporting Managed Services. - Builds practical AI orchestration patterns that connect systems, data, prompts, APIs, scripts, and operational workflows. - Develops automation solutions that reduce manual work, improve service delivery speed, increase consistency, or create measurable cost avoidance. - Creates reusable components, connectors, scripts, and workflow patterns that can be leveraged across multiple use cases. - Supports implementation of internal AI Orchestration capabilities and related automation services as part of the Managed Services automation portfolio. Critical Thinking & Operational Problem Solving: - Analyzes operational pain points and determines whether AI, automation, integration, process improvement, or a combination of approaches is the best solution. - Identifies automation opportunities that address systemic problems, not only isolated manual tasks. - Balances experimentation with production stability, supportability, security, and operational readiness. - Uses data, outcome measures, and stakeholder feedback to validate whether automation work is creating efficiency gains or business value. AI Automation Delivery & Support: - Develops LLM-enabled workflows, agentic automation patterns, and AI-assisted operational processes with appropriate guardrails and fallback logic. - Integrates with enterprise tools, monitoring platforms, ITSM systems, cloud services, and internal applications as needed. - Troubleshoots automation defects, integration failures, and AI workflow issues, driving durable fixes and continuous improvement. - Documents solution design, configuration, support steps, ownership, and knowledge articles to reduce key-person dependency. - Participates in testing, UAT, release readiness, change control, and production support activities for automation solutions. Managed Services, ITIL & Collaboration: - Applies awareness of Managed Services delivery models, ITIL processes, and operational impact when designing automation solutions. - Collaborates with engineers, service owners, process owners, developers, and stakeholders to understand requirements and validate outcomes. - Communicates technical concepts clearly to both technical and non-technical audiences. - Stays current on emerging AI automation development practices, AI orchestration patterns, LLM tooling, integration frameworks, and service operations trends. General: - Demonstrates and actively promotes an understanding and commitment to the mission of Logicalis through behaviors consistent with the organization's values. - Maintains a working knowledge of applicable Federal, State, and Local laws and regulations as well as policies and procedures of Logicalis in order to ensure adherence in a manner that reflects honest, ethical, and professional behaviors. - Supports and conducts self in a manner consistent with customer service expectations. Supervisory Responsibilities: This job has no supervisory responsibilities. The role may receive dotted-line technical guidance from senior AI automation resources and may collaborate with other developers, engineers, and process owners. We could include that as a
- under Responsibilities as well.
Now Qualifications: It has Education/Experience/Technical Requirements/Certifications.
Education:
- Bachelor’s degree in computer science, information technology, software engineering, or related field, or equivalent experience.
Experience / Technical Requirements:
- 5+ years of experience developing automations, integrations, scripts, workflows, or application solutions in enterprise or services environments.
- Hands-on experience with automation development using tools or languages such as Python, PowerShell, JavaScript, APIs, workflow platforms, or low-code/no-code automation tools.
- Experience designing or supporting AI-enabled workflows, LLM-driven processes, AI agents, orchestration patterns, or intelligent automation solutions.
- Understanding of prompt design, structured outputs, human-in-the-loop patterns, guardrails, fallback logic, and practical considerations for production AI use cases.
- Experience integrating with operational platforms such as ITSM tools, monitoring/observability tools, cloud platforms, ticketing systems, knowledge bases, or internal business applications.
- Ability to analyze business or operational processes and convert requirements into working automation solutions.
- Working knowledge of Managed Services operations, ITIL practices, or service management processes is preferred.
- Experience with cloud environments such as Azure, AWS, or GCP is preferred.
- Experience with data pipelines, vector databases, embeddings, event-driven workflows, or containerized environments is a plus.
- Strong troubleshooting skills with the ability to identify root causes, evaluate trade-offs, and implement sustainable fixes.
- Strong communication and collaboration skills with the ability to work across technical and operational teams.
Certifications:
- Certifications related to AI, automation, cloud platforms, ITIL, or service management are preferred but not required. (Examples may include Microsoft Azure AI Engineer, Azure Administrator Associate, AWS certifications, ITIL Foundation, or relevant automation/platform certifications.)
Other Skills And Abilities:
- Critical thinker with the ability to challenge assumptions, evaluate options, and recommend practical solutions.
- Curious and current on emerging AI automation development practices, orchestration frameworks, and service operations technology trends.
- Outcome-oriented mindset focused on measurable efficiency gains, cost avoidance, quality improvement, and operational scalability.
- Ability to operate as a hands-on developer while collaborating effectively with senior technical resources and business stakeholders.
- Strong documentation discipline, including solution design, support procedures, ownership details, release notes, and knowledge articles.
- Ability to manage multiple priorities in a fast-paced environment while maintaining quality and production stability.
- Comfortable experimenting, learning quickly, failing fast, and iterating toward durable solutions.
Physical Demands: we are omitting.
Pay: Salary Compensation Range: $77,517 - $98,000/yr.
We need to output only HTML fragment.
We'll structure:
About the role
...summary...
Responsibilities
- ...AI Integration & Automation Development...
- ...Critical Thinking & Operational Problem Solving...
- ...AI Automation Delivery & Support...
- ...Managed Services, ITIL & Collaboration...
- ...General...
- ...Supervisory Responsibilities...
Qualifications
- Education: Bachelor’s degree in computer science, information technology, software engineering, or related field, or equivalent experience.
- Experience / Technical Requirements: ... (list maybe nested? Could keep as one
- with line breaks? But we need
- for any list. Could make each bullet as separate
- under a nested list? Simpler: keep each requirement as separate
- under Qualifications. But then we lose grouping. Could do a
- inside
- but that's okay. However instruction: Use
- for any list of duties/requirements/benefits. So we can treat each requirement as a list item. We'll flatten all requirements into a list under Qualifications. That may lose the Education/Certifications headings but we can include them as part of the item text.
Better: Keep a heading for Education, Experience, Certifications as
maybe? But they said use
for section headings only. Could use
for those subheadings. That's acceptable. Thus under Qualifications we can have:
Education: Bachelor’s degree ...
Experience / Technical Requirements:
- 5+ years ...
- Hands-on experience ... ...
Certifications: Certifications related ... (Examples may include ...)
That satisfies using- for list.
Similarly for Skills: we can have a
- each.
Pay:
Salary Compensation Range: $77,517 - $98,000/yr.
Now ensure we don't include any boilerplate like EEO etc. We
- each.
Pay:
- for any list of duties/requirements/benefits. So we can treat each requirement as a list item. We'll flatten all requirements into a list under Qualifications. That may lose the Education/Certifications headings but we can include them as part of the item text.
Better: Keep a heading for Education, Experience, Certifications as
- but that's okay. However instruction: Use