Senior Cloud Consultant AI Solutions Focus Indianapolis - IN - Indiana

Senior Cloud Consultant AI Solutions Focus

ROLE OVERVIEW

We are seeking a highly skilled Senior Cloud Consultant with a specialization in Artificial Intelligence and Cloud-Native Solutions to lead the design, implementation, and optimization of modern cloud-based applications. This individual will serve as the AI and Cloud champion within the consulting team, helping drive the strategy, architecture, and delivery of intelligent applications powered by Generative AI, Machine Learning, Large Language Models (LLMs), and cloud-native services.

The ideal candidate has deep expertise in AWS and experience leveraging AI services across AWS, Azure, and other cloud platforms. They will work closely with business stakeholders, product teams, architects, and developers to design scalable, secure, and innovative AI-driven solutions that deliver measurable business value.

This role combines cloud architecture, AI solutioning, technical leadership, governance, and hands-on implementation to accelerate the organizations digital transformation initiatives.

KEY RESPONSIBILITIES

Cloud Architecture & Solution Design

Lead the design and implementation of cloud-native applications and enterprise solutions on AWS, Azure, or other cloud platforms.

Define scalable, secure, resilient, and cost-optimized cloud architectures.

Establish cloud design patterns, best practices, and governance standards.

Evaluate and recommend cloud services, frameworks, and technologies aligned with business requirements.

Collaborate with development teams to ensure successful solution delivery and operational excellence.

Conduct architecture reviews and provide technical leadership across multiple projects.

AI Enablement & Innovation

Identify opportunities to leverage Artificial Intelligence, Generative AI, Machine Learning, and intelligent automation across business processes and products.

Design and implement AI-enabled solutions using services such as:

o Amazon Bedrock

o Amazon SageMaker

o AWS AI Services

o Azure OpenAI

o Open-source LLM frameworks

Develop AI use cases, proof-of-concepts, and production-ready solutions.

Partner with stakeholders to assess feasibility, business value, and implementation strategies for AI initiatives.

Define patterns for Retrieval-Augmented Generation (RAG), AI agents, model orchestration, and enterprise search integrations.

Promote responsible AI adoption, governance, security, compliance, and ethical AI practices.

Cloud Consulting & Stakeholder Engagement

Engage with business and technical stakeholders to understand strategic objectives and translate them into cloud and AI roadmaps.

Facilitate workshops, architecture reviews, and technical discovery sessions.

Serve as a trusted advisor on cloud modernization and AI transformation initiatives.

Create business cases and value realization strategies for AI-driven investments.

Provide recommendations on cloud migration, optimization, and modernization opportunities.

Platform Engineering & Automation

Design and implement Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, CloudFormation, or similar tools.

Build automated deployment pipelines and DevOps workflows.

Implement CICD pipelines across cloud environments.

Drive automation of infrastructure provisioning, monitoring, security, and compliance controls.

Support containerized and serverless workloads using technologies such as Kubernetes, ECS, EKS, Lambda, and Azure Container Apps.

Security, Governance & Compliance

Ensure cloud and AI solutions adhere to organizational security policies and regulatory requirements.

Implement identity, access management, encryption, observability, and security monitoring controls.

Define AI governance frameworks, model lifecycle management processes, and risk management practices.

Conduct architecture risk assessments and remediation planning.

Operational Excellence

Monitor cloud solution performance, reliability, and cost efficiency.

Establish observability standards using cloud-native monitoring and logging platforms.

Support production incidents and lead root cause analysis activities.

Drive continuous improvement initiatives focused on scalability, reliability, and operational efficiency.

REQUIRED TECHNICAL SKILLS

Cloud Platforms

Deep expertise in AWS cloud services including:

o EC2

o S3

o EKS

o ECS

o Lambda

o RDS

o DynamoDB

o API Gateway

o VPC

o IAM

o CloudWatch

Experience with Azure cloud services.

Cloud architecture and migration experience for enterprise workloads.

Artificial Intelligence & Machine Learning

Experience implementing AI and Generative AI solutions in enterprise environments.

Knowledge of:

o Amazon Bedrock

o SageMaker

o Azure OpenAI

o OpenAI APIs

o LangChain

o LlamaIndex

o Vector Databases

o Semantic Search

o RAG Architectures

o AI Agents

Understanding of prompt engineering, model evaluation, and AI lifecycle management.

Familiarity with LLMs such as GPT, Claude, Gemini, Llama, or similar foundation models.

Application Development

Experience supporting cloud-based applications and APIs.

Proficiency in Python or Node.js.

Experience building and integrating REST APIs and microservices.

Understanding of event-driven and serverless architectures.

DevOps & Automation

Terraform, CloudFormation, or AWS CDK.

GitHub Actions, Jenkins, Azure DevOps, or equivalent CICD platforms.

Docker and Kubernetes.

Monitoring and observability solutions including Grafana, Datadog, OpenTelemetry, or CloudWatch.

QUALIFICATIONS

Bachelors degree in Computer Science, Engineering, Information Technology, or a related field.

8+ years of experience in cloud consulting, cloud architecture, or cloud engineering roles.

3+ years of experience delivering AI, Machine Learning, or Generative AI solutions.

Proven experience designing and implementing enterprise-scale cloud solutions.

Strong stakeholder management and consulting skills.

Excellent communication, presentation, and problem-solving abilities.

Experience leading cross-functional technical initiatives and 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 and enterprise applications.

Experience with Agentic AI frameworks and autonomous workflow orchestration.

Knowledge of data governance, model governance, and AI compliance frameworks.

KEY SUCCESS MEASURES

Successful delivery of scalable, secure, AI-enabled cloud solutions.

Increased adoption of AI technologies across business applications.

Improved operational efficiency through automation and intelligent workflows.

Measurable business outcomes from AI and cloud transformation initiatives.

High stakeholder satisfaction and trusted-advisor relationships.

Establishment of reusable cloud and AI architecture standards across the

Role Descriptions: Key ResponsibilitiesEngage with business and technology stakeholders to understand objectives assess the existing IT landscape and identify cloud adoption and modernisation opportunities.Conduct cloud readiness assessments application and infrastructure discovery dependency analysis workload classification and migration planning.Define cloud strategies target operating models architecture principles landing zones governance frameworks and phased transformation roadmaps.Design secure scalable resilient and cost-optimised solutions across public private hybrid and multi-cloud environments.Recommend appropriate cloud services migration patterns deployment models and build-versus-buy options based on business and technical requirements.Lead or support application migration rehosting replatforming refactoring containerisation data migration and cloud-native modernisation initiatives.Collaborate with architects developers infrastructure teams security teams data engineers DevOps engineers product owners and service providers throughout delivery.Define requirements for identity and access management networking encryption backup disaster recovery monitoring logging compliance and operational resilience.Establish infrastructure-as-code CICD configuration management observability and automated operational practices.Support cloud cost management by defining tagging budgeting forecasting rightsizing reservation chargeback and optimisation practices.Coordinate onsite and offshore teams manage milestones dependencies risks issues and stakeholder expectations and provide clear executive status reporting.Facilitate testing cutover production readiness knowledge transfer change management operational handover and post-migration optimisation.

Essential Skills: Key ResponsibilitiesEngage with business and technology stakeholders to understand objectives assess the existing IT landscape and identify cloud adoption and modernisation opportunities.Conduct cloud readiness assessments application and infrastructure discovery dependency analysis workload classification and migration planning.Define cloud strategies target operating models architecture principles landing zones governance frameworks and phased transformation roadmaps.Design secure scalable resilient and cost-optimised solutions across public private hybrid and multi-cloud environments.Recommend appropriate cloud services migration patterns deployment models and build-versus-buy options based on business and technical requirements.Lead or support application migration rehosting replatforming refactoring containerisation data migration and cloud-native modernisation initiatives.Collaborate with architects developers infrastructure teams security teams data engineers DevOps engineers product owners and service providers throughout delivery.Define requirements for identity and access management networking encryption backup disaster recovery monitoring logging compliance and operational resilience.Establish infrastructure-as-code CICD configuration management observability and automated operational practices.Support cloud cost management by defining tagging budgeting forecasting rightsizing reservation chargeback and optimisation practices.Coordinate onsite and offshore teams manage milestones dependencies risks issues and stakeholder expectations and provide clear executive status reporting.Facilitate testing cutover production readiness knowledge transfer change management operational handover and post-migration optimisation.

Desirable Skills:

Keyword:

Skills: Digital : Amazon Web Service(AWS) Cloud Computing

Experience Required: 8-10