Senior Cloud Consultant AI Solutions Focus
11 days ago
Indianapolis
Job DescriptionSenior Cloud Consultant – AI Solutions Focus • Role: Senior Cloud Consultant – AI Solutions Focus, • Primary Skill: Amazon Web Services (AWS) Cloud Computing, • Experience Required: 8–10 years, • Focus Areas:, • AWS Cloud Architecture, • Azure Cloud, • Artificial Intelligence (AI), • Generative AI, • Machine Learning, • Large Language Models (LLMs), • Cloud-Native Solutions, • Cloud Modernization, • DevOps & Automation, • AI Governance & SecurityRole Overview, • Lead the design, implementation, and optimization of modern cloud-based applications., • Serve as the AI and Cloud champion within the consulting team., • Drive strategy, architecture, and delivery of intelligent applications using:, • Generative AI, • Machine Learning, • Large Language Models (LLMs), • Cloud-native services, • Design scalable, secure, resilient, and innovative AI-driven solutions., • Work closely with:, • Business stakeholders, • Product teams, • Architects, • Developers, • Engineering teams, • Deliver measurable business value through AI and cloud transformation initiatives.Cloud Architecture & Solution Design, • Lead the design and implementation of cloud-native applications and enterprise solutions on AWS, Azure, and other cloud platforms., • Define:, • Scalable cloud architectures, • Secure architectures, • Resilient architectures, • Cost-optimized architectures, • Establish cloud design patterns, best practices, and governance standards., • Evaluate and recommend cloud services, frameworks, and technologies based on business requirements., • Collaborate with development teams to ensure successful solution delivery., • Conduct architecture reviews., • Provide technical leadership across multiple projects., • Design solutions across:, • Public cloud, • Private cloud, • Hybrid cloud, • Multi-cloud environmentsAI Enablement & Innovation, • Identify opportunities to leverage:, • Artificial Intelligence, • Generative AI, • Machine Learning, • Intelligent Automation, • Design and implement AI-enabled solutions using:, • Amazon Bedrock, • Amazon SageMaker, • AWS AI Services, • Azure OpenAI, • Open-source LLM frameworks, • Develop:, • AI use cases, • Proofs of Concept (POCs), • Production-ready AI solutions, • Partner with stakeholders to assess AI feasibility, business value, and implementation strategies., • Define architecture patterns for:, • Retrieval-Augmented Generation (RAG), • AI Agents, • Model orchestration, • Enterprise search, • Promote responsible AI adoption., • Establish AI governance, security, compliance, and ethical AI practices., • Define AI model lifecycle management and risk management processes.Cloud Consulting & Stakeholder Engagement, • Engage with business and technology stakeholders to understand strategic objectives., • Assess existing IT landscapes and identify cloud adoption and modernization opportunities., • Develop:, • Cloud strategies, • AI roadmaps, • Cloud modernization roadmaps, • Transformation strategies, • Conduct:, • Cloud readiness assessments, • Application discovery, • Infrastructure discovery, • Dependency analysis, • Workload classification, • Migration planning, • Facilitate:, • Workshops, • Architecture reviews, • Technical discovery sessions, • Serve as a trusted advisor for cloud modernization and AI transformation., • Create business cases and value realization strategies for AI investments., • Recommend cloud migration, optimization, and modernization opportunities., • Recommend appropriate:, • Cloud services, • Migration patterns, • Deployment models, • Build-versus-buy approachesCloud Migration & Modernization, • Define cloud adoption strategies and phased transformation roadmaps., • Design cloud landing zones and target operating models., • Lead or support:, • Rehosting, • Replatforming, • Refactoring, • Containerization, • Data migration, • Cloud-native modernization, • Support enterprise application and infrastructure migration initiatives., • Coordinate application migration activities across technical teams., • Facilitate:, • Testing, • Cutover, • Production readiness, • Knowledge transfer, • Change management, • Operational handover, • Post-migration optimizationPlatform Engineering & Automation, • Design and implement Infrastructure as Code (IaC) solutions using:, • Terraform, • AWS CDK, • CloudFormation, • Build automated deployment pipelines and DevOps workflows., • Implement CI/CD pipelines across cloud environments., • Automate:, • Infrastructure provisioning, • Monitoring, • Security controls, • Compliance controls, • Operational processes, • Support containerized and serverless workloads using:, • Kubernetes, • Amazon ECS, • Amazon EKS, • AWS Lambda, • Azure Container Apps, • Establish configuration management and automated operational practices.Security, Governance & Compliance, • Ensure cloud and AI solutions comply with organizational security policies and regulatory requirements., • Implement:, • Identity and Access Management, • Encryption, • Security monitoring, • Observability, • Access controls, • Define AI governance frameworks., • Establish model lifecycle management processes., • Implement AI risk management practices., • Conduct architecture risk assessments., • Develop remediation plans., • Define requirements for:, • IAM, • Networking, • Encryption, • Backup, • Disaster Recovery, • Monitoring, • Logging, • Compliance, • Operational resilienceOperational Excellence, • Monitor cloud solution:, • Performance, • Reliability, • Availability, • Cost efficiency, • Establish observability standards using:, • CloudWatch, • Grafana, • Datadog, • OpenTelemetry, • Support production incidents., • Lead Root Cause Analysis (RCA) activities., • Drive continuous improvement focused on:, • Scalability, • Reliability, • Operational efficiency, • AutomationCloud Cost Management / FinOps, • Support cloud cost management initiatives., • Define and implement:, • Resource tagging, • Budgeting, • Forecasting, • Rightsizing, • Reservations, • Chargeback, • Cost optimization, • Design cost-efficient cloud architectures., • Monitor cloud resource utilization and spending.Required AWS Skills, • Strong expertise in AWS Cloud Services, including:, • EC2, • S3, • EKS, • ECS, • Lambda, • RDS, • DynamoDB, • API Gateway, • VPC, • IAM, • CloudWatch, • Enterprise AWS architecture and migration experience., • Experience with AWS security, networking, IAM, and cloud-native services.Azure Skills, • Experience with Microsoft Azure cloud services., • Experience with:, • Azure OpenAI, • Azure Container Apps, • Ability to design solutions across multi-cloud environments.AI / Machine Learning Skills, • Experience implementing enterprise AI and Generative AI solutions., • Knowledge of:, • Amazon Bedrock, • Amazon SageMaker, • Azure OpenAI, • OpenAI APIs, • LangChain, • LlamaIndex, • Vector Databases, • Semantic Search, • RAG Architectures, • AI Agents, • Understanding of:, • Prompt engineering, • Model evaluation, • AI lifecycle management, • Model governance, • AI compliance, • Familiarity with LLMs such as:, • GPT, • Claude, • Gemini, • Llama, • Experience with Agentic AI frameworks and autonomous workflow orchestration.Application Development Skills, • Experience supporting cloud-based applications and APIs., • Proficiency in:, • Python, • Node.js, • Experience building and integrating:, • REST APIs, • Microservices, • Understanding of:, • Event-driven architectures, • Serverless architecturesDevOps & Automation Skills, • Terraform, • AWS CDK, • CloudFormation, • GitHub Actions, • Jenkins, • Azure DevOps, • CI/CD, • Docker, • Kubernetes, • Amazon EKS, • Amazon ECS, • Cloud automation, • Infrastructure as Code, • Configuration management, • Monitoring and observabilityQualifications, • Bachelor's degree in:, • Computer Science, • Engineering, • Information Technology, • Related field, • 8+ years of experience in:, • Cloud Consulting, • Cloud Architecture, • Cloud Engineering, • 3+ years of experience delivering:, • AI solutions, • Machine Learning solutions, • Generative AI solutions, • Proven experience designing and implementing enterprise-scale cloud solutions., • Strong stakeholder management and consulting skills., • Excellent:, • Communication, • Presentation, • Problem-solving, • Technical leadership, • Experience leading cross-functional technical initiatives., • Experience mentoring engineering teams.Preferred Qualifications, • AWS Solutions Architect Professional certification., • AWS Machine Learning Specialty certification., • Microsoft Azure AI Engineer certification., • Experience building:, • AI-enabled SaaS platforms, • Enterprise AI applications, • Experience with Agentic AI frameworks., • Experience with autonomous workflow orchestration., • Knowledge of:, • Data governance, • Model governance, • AI compliance frameworksProject & Team Leadership, • Coordinate onsite and offshore teams., • Manage:, • Project milestones, • Dependencies, • Risks, • Issues, • Stakeholder expectations, • Provide clear executive-level status reporting., • Collaborate with:, • Architects, • Developers, • Infrastructure teams, • Security teams, • Data engineers, • DevOps engineers, • Product owners, • Service providers