Senior Cloud Consultant – AI Solutions Focus

TALENT Software Services; Indianapolis (IN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) match

Performance bonus

Job summary

TALENT Software Services is seeking a Senior Cloud Consultant focused on AI solutions. You will lead design and delivery of cloud-native, AI-enabled applications using AWS, Azure and multi-cloud patterns, while ensuring security, scalability and governance.

You will collaborate with business stakeholders, product teams and engineers to drive AI-driven modernization. The role emphasizes leadership in cloud architecture, DevOps practices, and responsible AI governance, delivering measurable

Qualifications

• Bachelor's degree in Computer Science, Engineering or IT.
• 8+ years of cloud consulting, architecture or engineering experience.
• 3+ years delivering AI solutions and Generative AI initiatives.
• Proven experience designing enterprise cloud solutions across AWS and Azure.
• Strong stakeholder management and technical leadership.

Responsibilities

• Lead design, implementation, and optimization of modern cloud-based apps.
• Act as AI and Cloud champion within the consulting team.
• Drive architecture, strategy and delivery of AI-enabled solutions.
• Design scalable, secure, resilient, cost-optimized architectures.
• Coordinate with stakeholders, architects, developers and product teams.

Skills

AWS Cloud Computing

AI Solutions

Cloud Architecture

Cloud-Native Solutions

Generative AI

Machine Learning

LLMs

DevOps & Automation

AI Governance & Security

Education

Bachelor's degree in Computer Science or Engineering or Information Technology

Tools

Terraform

AWS CDK

CloudFormation

Jenkins

Azure DevOps

Kubernetes

Amazon EKS

Amazon ECS

Python

Node.js

OpenAI APIs

Job description

• Primary Skill: Amazon Web Services (AWS) Cloud Computing
• Experience Required: 8-10 years
• Focus Areas:
• Artificial Intelligence (AI)
• Generative AI
• Cloud-Native Solutions
• DevOps & Automation
• AI Governance & Security

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.
• Knowledge of:
• Data governance
• Model governance
• AI compliance frameworks

Project & 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