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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and delivering AI/ML/LLM-based solutions for infrastructure operations, with strong capabilities in Python coding, AI governance, and MLOps practices. Proven ability to mentor teams and translate infrastructure challenges into AI-driven solutions.
Highest-signal resume keywords
AI/ML/LLM Solution ArchitecturePython CodingMLOps/LLMOps PracticesAPI IntegrationInfrastructure Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonBash ScriptingPowerShell ScriptingAPI IntegrationLLM FundamentalsAgentic AI SystemsVector DatabasesCloud ArchitectureMLOpsAutomation with Ansible/Terraform
Soft Skills
Stakeholder ManagementMentoringStrategic Roadmap Development
Tools & Technologies
AzureAWSGCPServiceNowDatadogSplunkPrometheusGrafanaLangChainLlamaIndex
Certifications & Qualifications
AWS AI Solutions ArchitectAzure AI Solutions ArchitectGCP AI Solutions Architect
Industry Keywords
Infrastructure OperationsITOpsAIOpsPredictive CapacitySelf-Healing SystemsAI GovernanceEnterprise AIBig 4GDSITSM
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudGoogle Cloud PlatformGrafanaITSMPrometheusPythonServiceNowSplunkTerraform
About the role
Key responsibilities & impact- Architect and deliver AI/ML/LLM-based solutions embedded into infrastructure operations, including ITOps/AIOps, self-healing systems, predictive capacity, and automated RCA
- Design and build agentic AI workflows for infrastructure automation, including ticketing, monitoring, remediation, and provisioning
- Evaluate, fine-tune, and integrate open-source and commercial LLMs into enterprise infrastructure tooling
- Build RAG pipelines, vector databases, and knowledge-grounding systems over infrastructure documentation, runbooks, and CMDB data
- Write production-grade Python code and Bash/PowerShell scripts
- Integrate AI solutions with Azure, AWS, GCP, ServiceNow, Datadog, Splunk, Prometheus/Grafana, and CI/CD pipelines
- Define and enforce AI governance guardrails for data privacy, model security, hallucination control, and cost/token management
- Partner with infrastructure leadership to identify high-ROI AI use cases and build the roadmap
- Mentor infrastructure engineers on AI-adjacent skills and act as internal AI Center of Excellence lead for the infrastructure vertical
- Own the POC-to-pilot-to-production lifecycle for AI initiatives, including MLOps/LLMOps practices
Requirements
What you’ll need- 10–12 years in Infrastructure/Cloud engineering or architecture, with the last 3–4 years focused on applied AI/ML/LLM work
- Strong hands-on coding ability in Python; scripting in Bash/PowerShell
- API integration and SDK usage, including OpenAI, Anthropic, LangChain, and LlamaIndex
- Understanding of LLM fundamentals: prompting, fine-tuning, embeddings, RAG, context windows, and tokens/cost
- Practical experience building agentic AI systems using LangGraph, AutoGen, CrewAI, or custom orchestration with tool-calling/function-calling
- Experience with vector databases such as Pinecone, Weaviate, FAISS, and Azure AI Search
- Deep infrastructure background in cloud architecture, networking, virtualization, ITSM, monitoring/observability, and automation using Ansible/Terraform
- Experience with MLOps/LLMOps, including model deployment, monitoring, versioning, and cost governance
- Strong architecture and solutioning skills
- Certifications in AWS/Azure/GCP AI or Solutions Architect are good-to-have
- Exposure to enterprise AI governance/responsible AI frameworks is good-to-have
- Experience presenting to CXO/leadership on AI strategy and business cases is good-to-have
- Prior experience in a Big 4/GDS/large enterprise infrastructure environment is good-to-have
- Open-source contributions or published POCs in AI/agentic systems are good-to-have
- Ability to translate ambiguous infrastructure pain points into AI-solvable use cases
- Strong stakeholder management
- Comfortable with hands-on coding/architecture and strategic roadmap/governance work
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EY Website LinkedIn All Job Openings 10,000+ employees Founded 1989 🏥 Healthcare ⚖️ Legal 📣 Marketing Healthcare
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- Marketing EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions. Tech S and T – AI Engineer, Manager 🔥 38 minutes ago 🏢 Noida – Onsite ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer 👻 Ghost score 14% Ansible AWS Azure Cloud Google Cloud Platform Grafana ITSM Prometheus Python ServiceNow Splunk Terraform Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Architect and deliver AI/ML/LLM-based solutions embedded into infrastructure operations, including ITOps/AIOps, self-healing systems, predictive capacity, and automated RCA
- Design and build agentic AI workflows for infrastructure automation, including ticketing, monitoring, remediation, and provisioning
- Evaluate, fine-tune, and integrate open-source and commercial LLMs into enterprise infrastructure tooling
- Build RAG pipelines, vector databases, and knowledge-grounding systems over infrastructure documentation, runbooks, and CMDB data
- Write production-grade Python code and Bash/PowerShell scripts
- Integrate AI solutions with Azure, AWS, GCP, ServiceNow, Datadog, Splunk, Prometheus/Grafana, and CI/CD pipelines
- Define and enforce AI governance guardrails for data privacy, model security, hallucination control, and cost/token management
- Partner with infrastructure leadership to identify high-ROI AI use cases and build the roadmap
- Mentor infrastructure engineers on AI-adjacent skills and act as internal AI Center of Excellence lead for the infrastructure vertical
- Own the POC-to-pilot-to-production lifecycle for AI initiatives, including MLOps/LLMOps practices 🎯 Requirements
- 10–12 years in Infrastructure/Cloud engineering or architecture, with the last 3–4 years focused on applied AI/ML/LLM work
- Strong hands-on coding ability in Python; scripting in Bash/PowerShell
- API integration and SDK usage, including OpenAI, Anthropic, LangChain, and LlamaIndex
- Understanding of LLM fundamentals: prompting, fine-tuning, embeddings, RAG, context windows, and tokens/cost
- Practical experience building agentic AI systems using LangGraph, AutoGen, CrewAI, or custom orchestration with tool-calling/function-calling
- Experience with vector databases such as Pinecone, Weaviate, FAISS, and Azure AI Search
- Deep infrastructure background in cloud architecture, networking, virtualization, ITSM, monitoring/observability, and automation using Ansible/Terraform
- Experience with MLOps/LLMOps, including model deployment, monitoring, versioning, and cost governance
- Strong architecture and solutioning skills
- Certifications in AWS/Azure/GCP AI or Solutions Architect are good-to-have
- Exposure to enterprise AI governance/responsible AI frameworks is good-to-have
- Experience presenting to CXO/leadership on AI strategy and business cases is good-to-have
- Prior experience in a Big 4/GDS/large enterprise infrastructure environment is good-to-have
- Open-source contributions or published POCs in AI/agentic systems are good-to-have
- Ability to translate ambiguous infrastructure pain points into AI-solvable use cases
- Strong stakeholder management
- Comfortable with hands-on coding/architecture and strategic roadmap/governance work Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Gen AI Engineer 🕒 May 14 EXL 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics Website LinkedIn All Job Openings Gen AI Engineer developing Generative AI solutions and managing pipelines in Noida, India. Leveraging machine learning expertise and collaborating with cross-functional teams for innovative systems. 🏢 Noida – Onsite 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS PyTorch Tensorflow AI Leader – Financial Services, Banking 🕒 December 5, 2025 Capgemini 10,000+ employees 💼 Consulting 🏥 Healthcare 📦 Logistics Website LinkedIn All Job Openings Agentic AI Leader spearheading AI transformation initiatives in Financial Services. Focused on Generative AI and intelligent automation for banking operations. 🏢 Noida – Onsite ⏰ Full Time 🟠 Senior 🤖 AI Engineer View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Remote jobs Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources About us Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs