{"id":1334621,"url":"https://alion.io/job/fixed-inc-infrastructure-engineer-lead-cloud-ai","title":"Infrastructure Engineer Lead – Cloud AI","company":{"id":1755069,"name":"American Electric Power","domain":"aep.com","url":"https://alion.io/company/aep-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gahanna, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":136539,"max":177503,"currency":"USD","period":"year","gross":null,"usd_annual":177503},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Edge AI","optional":false},{"name":"FinOps","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenShift","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Service Mesh","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false},{"name":"Azure","optional":true},{"name":"FedRAMP","optional":true},{"name":"GCP","optional":true},{"name":"RAG","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-01T17:35:04Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Job Posting End Date\n10-03-2026Please note the job posting will close on the day before the posting end date.\nJob Summary\nThis hands-on role builds and operates secure, scalable infrastructure for AI and machine learning workloads across AWS and approved on-premises environments. Responsibilities include cloud foundations, networking, containers, compute, identity, cost management, and observability.The engineer partners with AI, architecture, cybersecurity, network, and application teams to deliver secure, cost-effective, production-ready infrastructure while supporting core cloud engineering services.\nJob Description\nWhat you’ll do:\nEssential Job Functions & Tasks\nAI Cloud Foundations\nDesign, build and maintain the AWS account structure, landing zones, and reference patterns that host AI and machine learning workloads, leveraging AWS Control Tower, Landing Zone Accelerator, and Terraform.\nEngineer the compute, storage, and networking foundations required for AI workloads, including GPU and accelerated instance families, high-throughput storage, and data access paths to enterprise data platforms.\nEnable and operate AI platform services such as Amazon Bedrock and SageMaker, including private connectivity, model access provisioning, logging, and quota management.\nBuild reusable infrastructure-as-code modules, templates and pipelines so that AI teams can deploy quickly within approved guardrails.\nDesign, build and maintain on-premises AI infrastructure for edge and specialized use cases.\nSupport AI in disconnected or intermittently connected environments, including local compute, model distribution, patching, monitoring, backup, and recovery.\nCreate deployment standards, automation, runbooks, and support processes for on-premises and edge AI.\nIntegrate on-premises AI with enterprise identity, security, networking, monitoring, and governance where feasible.\nControls, Security & Governance\nPartner with Cybersecurity, Enterprise Architecture and Compliance to align AI infrastructure with AEP security standards, regulatory obligations, and responsible AI guardrails.\nReview and remediate configuration drift, vulnerabilities and audit findings across the AI cloud estate; support evidence requests and control attestations.\nContribute to onboarding and intake processes for new AI use cases, ensuring workloads are provisioned into the right accounts with the right controls from day one.\nFinOps & Cost Management\nEstablish and operate FinOps practices for AI workloads, including tagging standards, showback/chargeback, budgets, anomaly detection, and forecasting.\nAnalyze and optimize spend on GPU compute, inference and token consumption, storage, and data transfer; recommend commitment strategies such as Savings Plans and Reserved Instances.\nProvide cost transparency and consumption reporting to business stakeholders and technology leadership, and identify optimization opportunities before they become budget issues.\nMonitoring & Observability\nPartner with monitoring team to create logging, alerting and dashboards for AI infrastructure and workloads.\nDefine service-level objectives and operational thresholds for AI platforms, including model endpoint availability, latency, throughput, and error rates.\nSupport incident response, root cause analysis and problem management for AI-related infrastructure events; drive preventive actions and automation to reduce recurrence.\nCore Cloud Engineering & Platform Services\nPerform standard cloud engineering functions across the AEP AWS environment including account provisioning, environment builds, platform upgrades, patching, automation and lifecycle management.\nDesign, deploy and operate Kubernetes environments (Amazon EKS, ROSA/OpenShift) including cluster architecture, autoscaling, node group and GPU scheduling, ingress, service mesh, RBAC, and cluster security hardening.\nEngineer and support platform services including load balancing, traffic management, API gateways, and integration patterns across cloud, on-premises, edge, and disconnected environments.\nApply networking fundamentals, VPC design, subnetting, routing, Transit Gateway, Direct Connect, VPN, firewalls, TLS and certificate management to deliver secure, performant connectivity for AI and general workloads.\nPrepare cost estimates, justifications, alternative solutions and technical recommendations; produce technical documentation, runbooks and standards.\nCollaborate with Project Managers, Architects, Solution Engineers, Business Analysts and vendor partners to deliver consistent, reliable solutions that leverage AEP's technology standards, architectures and best practices.\nAdhere to and advocate for change, incident and problem management processes; participate in on-call rotation and after-hours support as required.\nProvide training, mentoring and technical work direction to other engineers on the team.\nRequired Skills & Experience\nDemonstrated hands-on engineering experience in AWS, including IAM, VPC networking, compute, storage, encryption/KMS, and account/organization structure.\nStrong Kubernetes expertise including cluster design, operations, troubleshooting and security in EKS, ROSA or OpenShift.\nSolid networking fundamentals, including routing, DNS, load balancing, traffic management, firewalls, hybrid connectivity, and network design for disconnected or intermittently connected environments.\nExperience with API gateways, integration patterns, and exposing and securing services across environments.\nProficiency with infrastructure-as-code and automation (Terraform required; Ansible, Python or PowerShell preferred) and CI/CD pipelines.\nWorking knowledge of cloud security principles, identity and access management, and compliance requirements.\nExperience implementing monitoring and cost management for cloud environments, with the ability to establish local monitoring, logging, patching, backup, and recovery processes for on-premises and disconnected environments.\nStrong analytical, troubleshooting and problem-solving skills, with the ability to work independently on complex assignments.\nEffective written and verbal communication skills, including the ability to present technical recommendations clearly to management and non-technical stakeholders.\nPreferred Qualifications\nArchitecture experience including designing end-to-end cloud solutions and influencing platform direction is highly desirable.\nDirect experience building or operating AI/ML or GenAI workloads across cloud or on-premises infrastructure (Amazon Bedrock, SageMaker, vector databases, retrieval-augmented generation patterns, GPU-based training or inference, edge AI, or disconnected environments).\nExperience with FinOps tooling and practices for high-variability workloads.\nExperience in a regulated industry (utility, energy, financial services) or with FedRAMP/GovCloud environments.\nFamiliarity with multi-cloud environments (Azure, OCI, GCP) and enterprise data platforms such as Snowflake.\nCertifications: AWS Solutions Architect - Associate or Professional; AWS Certified Machine Learning; Certified Kubernetes Administrator (CKA).\nOther Requirements\nAdhere to policies, procedures, standards, codes and regulations relevant to assignments.\nDemonstrate in-depth knowledge of AEP infrastructure, environment and components to enable efficient, comprehensive responses to projects and problems.\nParticipate in on-call rotation, after-hours maintenance windows, and storm/emergency response support as required.\nWhat We're Looking For:\nEducation requirements are listed below:\nBachelor's degree in computer science, engineering, or related technical field is required.\nWork Experience requirement listed below:\n12 years of relevant work experience required. An equivalent combination of education and related experience may be considered.\nWhat You'll Get:\nBase salary\nAnnual bonus\nLong-term incentive\n401(k) match\nAEP Pension\nComprehensive benefits package designed to support and enhance the overall well-being of employees.\nAt AEP, we’re more than just an energy company - we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!\nCompensation Data\nCompensation Grade:\nSP20-010Compensation Range:\n$136,539.00 - $177,503.00The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.\nHear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one.\nIt is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.","description_format":"text","description_chars":10203,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Security"],"lifecycle":[{"event":"open","at":"2026-09-27T13:36:09Z"}],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.775,"p_room":0.55,"age_days":9,"expected_fill_days":8,"reasons":["conf:10","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":177503,"is_top_pay":false},"html_url":"https://alion.io/job/fixed-inc-infrastructure-engineer-lead-cloud-ai","json_url":"https://alion.io/job/fixed-inc-infrastructure-engineer-lead-cloud-ai.json","meta":{"generated_at":"2026-10-01T18:06:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":342,"day_limit":5000,"remaining_today":4658,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}