Lead the design and implementation of cloud-native applications and enterprise solutions on AWS, Azure, and other cloud platforms. Proven experience designing and implementing enterprise-scale cloud solutions .
Numbers & Facts
Location
Indianapolis, IN
Salary
$49.25–$53 Per Hour
Description
Senior 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 & Security
Role 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 environments
AI 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 approaches
Cloud 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 optimization
Platform 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 resilience
Operational 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
Automation
Cloud 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 architectures
DevOps & 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 observability
Qualifications
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.