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Senior Cloud Consultant – AI Solutions Focus
Job in
Indianapolis, Hamilton County, Indiana, 46262, USA
Listed on 2026-10-13
Listing for:
TALENT Software Services
Full Time
position Listed on 2026-10-13
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), AI Business & Operations, IT Consultant
Job Description & How to Apply Below
- Primary Skill:
Amazon Web Services (AWS) Cloud Computing - Experience
Required:
8-10 years - Focus Areas:
- Artificial Intelligence (AI)
- Generative AI
- Cloud-Native Solutions
- Dev Ops & Automation
- AI Governance & Security
- 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
- Dev Ops & Automation
- AI Governance & Security
- 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.
- 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 environments
- Identify opportunities to leverage:
- Artificial Intelligence
- Generative AI
- Machine Learning
- Intelligent Automation
- Design and implement AI-enabled solutions using:
- Amazon Bedrock
- Amazon Sage Maker
- 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.
- 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 approaches
- 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 optimization
- Design and implement Infrastructure as Code (IaC) solutions using:
- Terraform
- AWS CDK
- Cloud Formation
- Build automated deployment pipelines and Dev Ops 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.
- Ensure cloud and…
Position Requirements
10+ Years
work experience
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