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AI Automation Engineer II
Elara Capital. Coordinate with stakeholders, vendors, and cross-functional teams to ensure successful project delivery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and deploying AI automation solutions while ensuring reliability and scalability. Proficient in optimizing business processes through automation and integration, with a strong focus on data privacy and security standards.
Highest-signal resume keywords
AI/ML Solutions DevelopmentCloud-Based AI Services (Azure Stack)Integration and Automation Platforms (Logic Apps, Power Automate)Agile IT Environment ExperienceMicrosoft Certified: Azure AI Engineer Associate
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI Automation SolutionsData AnalysisPython ProgrammingWorkflow OptimizationAutomation Process Evaluation
Soft Skills
Stakeholder CoordinationEffective CommunicationProblem SolvingKnowledge SharingTime Management
Tools & Technologies
Azure OpenAIAzure AI FoundryServiceNowMicrosoft Power PlatformAzure Functions
Certifications & Qualifications
Microsoft Certified: Azure AI Engineer AssociateMicrosoft Certified: Power Platform Developer AssociateCloud AI Certifications
Industry Keywords
Business Process AutomationSystems IntegrationAgile MethodologyAutomation OpportunitiesData Privacy Standards
Tech Stack
Tools & technologiesAzureCloudPythonServiceNow
About the role
Key responsibilities & impact- Coordinate with stakeholders, vendors, and cross-functional teams to ensure successful project delivery
- Collaborate with business lines to identify and evaluate opportunities for automating and optimizing business processes
- Design, develop, deploy, and support AI automation solutions across the full lifecycle, including build, test, deployment, monitoring, and optimization
- Ensure AI automation solutions are reliable, scalable, and maintainable in production environments
- Stay current with industry trends and best practices in business process automation and systems integration
- Provide timely answers to team members, vendors, and customers via Microsoft Teams, email, and phone
- Share knowledge, experience, and expertise with team members
- Innovate and streamline processes by identifying automation opportunities and planning for future issues
- Measure and report on the performance, impact, and effectiveness of automation solutions
- Adhere to organizational standards for data privacy, security, and responsible AI usage
- Structure and analyze data to support AI workflows, evaluate performance, and generate insights
- Resolve complex technical challenges by identifying root causes, evaluating options, and implementing effective solutions
- Analyze workflows to identify automation opportunities and improve efficiency through optimized AI-enabled processes
- Work with engineering, product, and business stakeholders to execute and deliver AI solutions
- Plan and prioritize work to manage multiple tasks and support timely, consistent delivery
- Report to the AI Transformation Manager
Requirements
What you’ll need- Bachelor’s degree in computer science, Information Systems, Software Engineering, or an equivalent combination of education and experience
- 3–6 years of experience in automation, integration, or software engineering roles
- 2+ years focused on AI/ML solutions
- Experience working in an Agile IT environment, required
- Hands-on experience with cloud-based AI services, particularly Azure Stack, including Azure OpenAI and Azure AI Foundry
- Experience building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions
- Proficiency with integration and automation platforms such as Logic Apps, Power Automate, and Azure Functions, or equivalent
- Familiarity with ServiceNow and Microsoft Power Platform
- Working knowledge of Python for AI workflows, data processing, and integrations (preferred)
- Microsoft Certified: Azure AI Engineer Associate (preferred)
- Microsoft Certified: Power Platform Developer Associate (preferred)
- Microsoft or cloud AI certifications (preferred)
- Other relevant AI/ML or cloud certifications (advantageous)
- Ability to manage workload with minimal supervision and meet tight deadlines
- Ability to travel 10% for occasional internal meetings and business alignment
Benefits
Comp & perks- Competitive compensation package
- Tuition reimbursement for full-time staff
- Continuing education opportunities for all employees at no cost
- Opportunities for advancement
- Comprehensive medical, dental, and vision insurance plans
- 401(K) with employer match
- Paid time off
- Paid holidays
- Family bereavement
- Pet bereavement
- Pet insurance