AI & Automation Engineer

We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, no invention. Remove boilerplate like EEO, etc. Must not include sections with filler like "commensurate with experience". We have content: company description (About the role? Actually summary). We have Summary/Function: description of role. That could be "About the role". Then Qualifications: includes Education & Experience, Microsoft Ecosystem Proficiency, Programming Skills, Cloud & AI Knowledge, DevOps Mindset, Problem-Solving & Communication, Coordination, Preferred Qualifications (list). Also Duties: list of duties. Then "What do we offer": benefits list. Then "The potential base pay hiring range for this role is $90,000 - $120,000 annually." That's Pay. No schedule info. So we include sections: About the role (summary), Responsibilities (duties), Requirements (maybe qualifications?), Qualifications (maybe required qualifications?), Skills (maybe programming skills?), Benefits, Pay. But we need to avoid duplication. The instructions: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should map content to these headings. We have a lot of qualifications; we could split into Requirements (mandatory) and Preferred Qualifications (preferred). Skills could be programming skills etc. But we must not create thin sections. Let's think: The posting includes: - Summary/Function: description. - Qualifications: includes Education & Experience, Microsoft Ecosystem Proficiency, Programming Skills, Cloud & AI Knowledge, DevOps Mindset, Problem-Solving & Communication, Coordination. - Preferred Qualifications: many bullet points. - Duties: list. - What do we offer: benefits list. - Pay range. Thus we can map: About the role: Summary/Function paragraph. Responsibilities: Duties list. Requirements: the mandatory qualifications (Education & Experience, Microsoft Ecosystem Proficiency, Programming Skills, Cloud & AI Knowledge, DevOps Mindset, Problem-Solving & Communication, Coordination). Could be combined. Qualifications: maybe Preferred Qualifications? But we already used Requirements for mandatory; Qualifications could be Preferred Qualifications. However the heading list includes both Requirements and Qualifications; we can use both. Skills: maybe programming skills? But we already covered programming skills in Requirements. Could combine but we need to avoid thin sections. Perhaps we can omit Skills if content is covered elsewhere. But we need to include only when posting has real specific content. The posting does have programming skills detail; we could put under Skills heading. But then Requirements would be other qualifications (education, experience, etc). Let's decide: - About the role: summary. - Responsibilities: duties. - Requirements: Education & Experience, Microsoft Ecosystem Proficiency, Cloud & AI Knowledge, DevOps Mindset, Problem-Solving & Communication, Coordination (maybe also include "Ability to maintain regular, predictable attendance"? That's from required associates but that's boilerplate? It's part of "The following is required from all associates..." which is generic company policy; we should remove boilerplate. So we exclude that. - Skills: Programming Skills (proficiency in at least one language, RESTful APIs, data integration). - Qualifications: Preferred Qualifications (Copilot Studio Expertise, Advanced AI & ML Skills, Financial Services Experience, Security & Compliance Focus, Innovation & Leadership, Lean and Agile background, Patience). - Benefits: What do we offer list. - Pay: base pay range. Schedule: none, so omit. We must not include boilerplate like EEO etc. Also remove "The following is required from all associates..." lines (commitment to maintain client confidentiality etc.) That's boilerplate; remove. Also remove "ACKNOWLEDGMENT" etc. Now produce HTML: use

for each heading, then content:

for prose,

• for lists. We need to preserve all substantive info: ensure we include all details from each section. Let's extract details. About the role (Summary/Function): "We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users." That's the prose. Responsibilities (Duties list): - Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making - Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval) - Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed - Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations - DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues - Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants’ effectiveness - Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders We'll put each as
• . Requirements (mandatory qualifications): From Qualifications section: Education & Experience: - Bachelor’s degree in Computer Science, Software Engineering, or related field. - 5+ years of experience in software development, automation engineering, or similar roles Microsoft Ecosystem Proficiency: - Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. - Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services) Programming Skills: (maybe we move to Skills, but we already have Skills heading; but we could keep programming skills under Requirements? Let's follow plan: Requirements includes Education & Experience, Microsoft Ecosystem Proficiency, Cloud & AI Knowledge, DevOps Mindset, Problem-Solving & Communication, Coordination. We'll move Programming Skills to Skills heading. Cloud & AI Knowledge: - Working knowledge of Azure cloud services and AI/ML frameworks. - Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.) DevOps Mindset: - Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. - Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes Problem-Solving & Communication: - Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. - Excellent communication skills to work effectively with both technical and non-technical team members Coordination: - Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more We'll list each as bullet points under appropriate subheadings? The instruction: use
  • for any list of duties/requirements/benefits. So we can just have a flat list under Requirements heading. But we might want to keep grouping; but it's okay to just list all items. Thus Requirements list items: - Bachelor’s degree in Computer Science, Software Engineering, or related field. - 5+ years of experience in software development, automation engineering, or similar roles - Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. - Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services) - Working knowledge of Azure cloud services and AI/ML frameworks. - Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.) - Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. - Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes - Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. - Excellent communication skills to work effectively with both technical and non-technical team members - Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more Now Skills heading: Programming Skills: - Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. - Experience building or consuming RESTful APIs and working with data integration We could also include any other skill? That's it. Now Qualifications heading: Preferred Qualifications list: - Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio – for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot’s advanced features (custom actions, agent-to-agent workflows) - Advanced AI & ML Skills: Familiarity with large language models beyond basic API usage – e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more - Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them - Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft’s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use - Innovation & Leadership: Demonstrated initiative in previous roles – maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current - Lean and Agile background: Lots of experience working in highly-iterative development processes. You understand the principles of them but aren’t married to any particular methodology - Patience: Somebody prepared to deal with the boring and the tough. Every minute of every day in an AI role isn’t always deploying new models and agents. An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day We'll list each as
  • . Benefits heading: What do we offer list: - Competitive salary plus excellent benefits and perks including, but not limited to: - Medical, Dental and Vision - Company 401(k) and ESOP contribution - Generous sick, vacation, and maternity/parental leave - Paid holidays - Professional Development