Cloud & AI FinOps Engineer

We need to output HTML fragment with sections: Role Overview, Key Responsibilities (maybe split into subsections? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need headings like "About the role" (maybe Role Overview), "Responsibilities", "Requirements" (maybe Required Qualifications), "Qualifications" (maybe Preferred Qualifications), "Skills" (maybe Core Competencies), "Benefits", "Pay", "Schedule". Only include sections if posting has real specific content. We have Role Overview content, Responsibilities content, Required Qualifications, Preferred Qualifications, Core Competencies, Role Impact (maybe not needed), Compensation (Pay), Schedule (Hybrid work schedule). Benefits not mentioned (no specific benefits). So we omit Benefits. We must not repeat job title as heading. Do not put Job ID/requisition numbers as headings. Remove boilerplate: EEO etc. Remove application instructions (none). Remove duplicated lines. We need to preserve all substantive information. Use

• for any list of duties/requirements/benefits. Use

  for prose. We need to decide how to structure lists: For responsibilities, there are many bullet-like sentences separated by semicolons or line breaks. We can convert each sentence into

• . Probably best to split by sentences ending with period. But we can also keep as prose? The instruction: Use
  • for any list of duties/requirements/benefits. So we need to make a list for responsibilities. Similarly for qualifications (required and preferred) we can list. For core competencies also list. We must not invent or summarize away detail. Must preserve all substantive information. So we need to include all points from responsibilities, required qualifications, preferred qualifications, core competencies, compensation, schedule, role overview, role impact maybe? Role Impact is substantive; we could include as a section maybe "Impact". But not in allowed headings list; but we could still use

    for any section heading? The instruction says use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says "use

    for section headings (e.g. ...)". Likely they expect those headings. But we could add "Impact" as a heading if we want, but maybe better to incorporate into Overview or responsibilities. However the instruction: "Prefer a few substantive sections over many thin ones." So we could combine Role Overview and Role Impact into About the role. But we need to preserve all info; we can include both paragraphs. Let's structure:

    About the role

    Role Overview paragraph + Role Impact paragraph.

    Responsibilities

    • ... each bullet.

    Requirements

    • ... required qualifications items.

    Qualifications

    • ... preferred qualifications items.

    Skills

    • ... core competencies items.

    Pay

    The annualized base pay range for this role is: $137,200 - $205,800.

    Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

    Schedule

    This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

    We need to ensure we didn't include boilerplate like Equal Opportunity Employer etc. Remove that. Now we need to extract responsibilities sentences. Let's copy responsibilities section: "Key Responsibilities Cloud Cost Management and Optimization Administer and improve cloud financial management platforms, including IBM Apptio Cloudability, AWS native cost tools, and applicable GCP or Azure capabilities.Monitor cloud and AI cost and usage trends; investigate anomalies, billing discrepancies, unallocated spend, and material forecast variances; and coordinate root-cause analysis and corrective action.Build a prioritized optimization pipeline covering rightsizing, idle-resource cleanup, storage lifecycle, workload scheduling, architecture changes, and service-selection tradeoffs; track recommendations through implementation and validate realized savings.Analyze and manage commitment-based discount opportunities, including AWS Savings Plans and Reserved Instances, Spot, and GCP committed use discounts; monitor coverage, utilization, break-even points, and financial risk.Partner with architects, cloud engineers, reliability engineers, developers, product teams, and application owners to embed cost, performance, reliability, and sustainability considerations into design and capacity decisions.Develop cost estimates, unit-cost models, and scenarios for workloads migrating to, scaling within, or modernizing in the cloud.Apply AI-assisted analytics and automation to anomaly detection, forecasting, recommendation prioritization, and narrative reporting, while validating outputs and maintaining appropriate data, security, and governance controls. Financial Planning, Reporting, and Analytics Support monthly, quarterly, and annual budget and forecast cycles for cloud and AI services, including consumption, show back or chargeback, savings, commitment, and demand planning.Develop and improve trusted reports, dashboards, forecasts, alerts, and executive-ready insights using standardized cost and usage data.Analyze large and complex datasets, build financial and unit-economics models, and translate technical cost drivers into clear recommendations and business tradeoffs.Perform variance analysis and maintain month-end and quarter-end reporting, operational metrics, usage statistics, and KPI or OKR measures.Establish and track metrics such as forecast accuracy, allocation coverage, commitment utilization, realized savings, optimization adoption, cost per transaction, cost per customer or product, and—where applicable—cost per token, inference, model, or AI workload.Help cloud consumers understand their bills, cost drivers, efficiency trends, business impact, and options for aligning consumption with goals and budgets.Produce concise management reporting that distinguishes identified, approved, implemented, and realized savings and clearly assigns ownership for follow-through. FinOps Governance and Enablement Promote a FinOps culture of accountability, collaboration, transparency, and continuous improvement across distributed onshore and global teams.Support the development, automation, integration, standardization, and governance of FinOps policies, processes, controls, and best practices.Manage and improve tagging and labeling standards, cost allocation, account and project hierarchies, data quality controls, and policy enforcement.Lead or participate in recurring business reviews, optimization forums, and knowledge-sharing sessions; communicate findings effectively to engineering, finance, product, business, and leadership audiences.Provide consulting and training that advances FinOps capability maturity, self-service adoption, and team ownership of technology consumption.Evaluate FinOps, observability, data, and AI technologies that can improve reporting, forecasting, automation, governance, and operational effectiveness.Help extend FinOps practices beyond public cloud, where relevant, to AI platforms, SaaS, licensing, and other variable technology costs.Develop guardrails for AI and machine-learning consumption, including visibility into GPU, API, token, model, and inference usage; alerting for abnormal consumption; and transparent allocation to products, teams, and business outcomes.Create and maintain documentation, operating procedures, metric definitions, and standards; plan and execute work using Agile practices.Perform other duties as assigned." We need to split into list items. Each sentence ends with a period. Some sentences have semicolons inside but still one sentence. We'll treat each sentence as an item. Let's list them: 1. Administer and improve cloud financial management platforms, including IBM Apptio Cloudability, AWS native cost tools, and applicable GCP or Azure capabilities. 2. Monitor cloud and AI cost and usage trends; investigate anomalies, billing discrepancies, unallocated spend, and material forecast variances; and coordinate root-cause analysis and corrective action. 3. Build a prioritized optimization pipeline covering rightsizing, idle-resource cleanup, storage lifecycle, workload scheduling, architecture changes, and service-selection tradeoffs; track recommendations through implementation and validate realized savings. 4. Analyze and manage commitment-based discount opportunities, including AWS Savings Plans and Reserved Instances, Spot, and GCP committed use discounts; monitor coverage, utilization, break-even points, and financial risk. 5. Partner with architects, cloud engineers, reliability engineers, developers, product teams, and application owners to embed cost, performance, reliability, and sustainability considerations into design and capacity decisions. 6. Develop cost estimates, unit-cost models, and scenarios for workloads migrating to, scaling within, or modernizing in the cloud. 7. Apply AI-assisted analytics and automation to anomaly detection, forecasting, recommendation prioritization, and narrative reporting, while validating outputs and maintaining appropriate data, security, and governance controls. 8. Support monthly, quarterly, and annual budget and forecast cycles for cloud and AI services, including consumption, show back or chargeback, savings, commitment, and demand planning. 9. Develop and improve trusted reports, dashboards, forecasts, alerts, and executive-ready insights using standardized cost and usage data. 10. Analyze large and complex datasets, build financial and unit-economics models, and translate technical cost drivers into clear recommendations and business tradeoffs. 11. Perform variance analysis and maintain month-end and quarter-end reporting, operational metrics, usage statistics, and KPI or OKR measures. 12. Establish and track metrics such as forecast accuracy, allocation coverage, commitment utilization, realized savings, optimization adoption, cost per transaction, cost per customer or product, and—where applicable—cost per token, inference, model, or AI workload. 13. Help cloud consumers understand their bills, cost drivers, efficiency trends, business impact, and options for aligning consumption with goals and budgets. 14. Produce concise management reporting that distinguishes identified, approved, implemented, and realized savings and clearly assigns ownership for follow-through. 15. Promote a FinOps culture of accountability, collaboration, transparency, and continuous improvement across distributed onshore and global teams. 16. Support the development, automation, integration, standardization, and governance of FinOps policies, processes, controls, and best practices. 17. Manage and improve tagging and labeling standards, cost allocation, account and project hierarchies, data quality controls, and policy enforcement. 18. Lead or participate in recurring business reviews, optimization forums, and knowledge-sharing sessions; communicate findings effectively to engineering, finance, product, business, and leadership audiences. 19. Provide consulting and training that advances FinOps capability maturity, self-service adoption, and team ownership of technology consumption. 20. Evaluate FinOps, observability, data, and AI technologies that can improve reporting, forecasting, automation, governance, and operational effectiveness. 21. Help extend FinOps practices beyond public cloud, where relevant, to AI platforms, SaaS, licensing, and other variable technology costs. 22. Develop guardrails for AI and machine-learning consumption, including visibility into GPU, API, token, model, and inference usage; alerting for abnormal consumption; and transparent allocation to products, teams, and business outcomes. 23. Create and maintain documentation, operating procedures, metric definitions, and standards; plan and execute work using Agile practices. 24. Perform other duties as assigned. Now Required Qualifications: "Required Qualifications 5+ years of experience in cloud engineering, architecture, operations, development, IT finance, business analytics, or FinOps, including substantial hands-on responsibility for AWS cost and usage management.Demonstrated experience operating cloud financial management processes at enterprise scale, including allocation, budgeting, forecasting, anomaly management, optimization, and savings realization.Strong knowledge of AWS pricing, billing, invoicing, cost allocation, and optimization mechanics, including AWS Organizations, consolidated billing,