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AI Consultant – Solution Architect
aionAI Consultant/Solution Architect helping enterprise customers harness AI on a unified platform. Engaging in customer discovery, solution architecture, and delivery of scalable AI applications.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Solutions Architecture and Technical Consulting, with a strong focus on designing and delivering scalable AI solutions and enterprise software. Proficient in collaborating with cross-functional teams to drive AI transformation and ensure successful implementation of customer solutions.
Highest-signal resume keywords
Solutions ArchitectureEnterprise AI ImplementationCloud Platforms (AWS, Azure, Google Cloud)Large Language ModelsAPIs and Microservices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solutions ArchitectureTechnical ConsultingEnterprise Software DesignAI Solutions DeliveryLarge Language ModelsGenerative AICloud ArchitectureInfrastructure-as-CodeKubernetesDocker
Soft Skills
Stakeholder ManagementPresentation SkillsDocumentation SkillsCommunication Skills
Tools & Technologies
AWSAzureGoogle Cloud PlatformKubernetesDocker
Industry Keywords
Enterprise AIIntelligent AutomationAI Workflow OrchestrationEnterprise IntegrationsCross-Functional Collaboration
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesMicroservices
About the role
Key responsibilities & impact- Partner with enterprise customers to understand their business challenges, workflows, and AI transformation goals.
- Conduct discovery workshops, technical assessments, and solution design sessions to identify high-impact AI opportunities.
- Advise customers on AI strategy, implementation roadmaps, and best practices for enterprise AI adoption.
- Translate complex business requirements into scalable AI solutions aligned with customer objectives.
- Design end-to-end AI solution architectures using Aion's enterprise AI platform.
- Create scalable, secure, and production-ready architectures for AI applications, intelligent agents, automation workflows, and enterprise integrations.
- Define technical solution blueprints covering infrastructure, data flows, APIs, security, and deployment strategies.
- Collaborate closely with engineering teams to ensure successful implementation of customer solutions.
- Lead technical solution delivery from proof of concept through production deployment.
- Work alongside customers during implementation, ensuring successful integration with existing enterprise systems.
- Support solution validation, performance optimization, testing, and production readiness.
- Resolve technical challenges and recommend architecture improvements throughout project execution.
- Partner with Product, Engineering, AI, Customer Success, and Sales teams to continuously improve Aion's platform and customer experience.
- Provide customer feedback that influences product roadmap and platform capabilities.
- Support technical demonstrations, solution workshops, RFP responses, and executive presentations.
- Develop reusable architecture patterns, reference implementations, and best practices for enterprise AI deployments.
- Stay current with advancements in AI, Large Language Models, agentic AI, cloud infrastructure, and enterprise software.
- Represent Aion at customer meetings, industry events, and technical workshops.
- Contribute to solution playbooks, architecture documentation, and technical enablement materials.
- Help establish Aion as a trusted advisor in enterprise AI transformation.
Requirements
What you’ll need- Technical Skills & Experience
- - 5+ years of experience in Solutions Architecture, Technical Consulting, Enterprise Architecture, or Software Engineering.
- - Experience designing and delivering enterprise software, cloud, or AI solutions for customers.
- - Strong understanding of Large Language Models, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI architectures.
- - Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
- - Understanding of APIs, microservices, distributed systems, and enterprise integration patterns.
- - Experience designing secure, scalable, and highly available enterprise solutions.
- - Familiarity with Kubernetes, Docker, cloud-native technologies, and modern application architectures.
- - Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- - Experience working with cross-functional teams across engineering, product, sales, and customer success.
- - Strong presentation, documentation, and stakeholder management skills.
- Bonus/ Good to Have
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- - Enterprise AI: Experience implementing enterprise AI platforms, intelligent automation, AI copilots, multi-agent systems, or AI workflow orchestration.
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- - Industry Consulting: Experience working with customers across financial services, healthcare, manufacturing, retail, public sector, or other enterprise industries.
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- - Cloud & Infrastructure: Hands-on experience with cloud architecture, Infrastructure-as-Code, DevOps, MLOps, or enterprise platform engineering.
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- - Pre-sales & Customer Success: Experience supporting enterprise sales cycles, solution demonstrations, technical workshops, or proof-of-concept engagements.
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- - Enterprise Integrations: Experience integrating AI solutions with enterprise applications, CRMs, ERPs, productivity suites, and business systems.
Benefits
Comp & perks- Preferred Attributes:
- - Founder-level ownership and bias for action.
- - Strong strategic thinking and ability to connect technical decisions to business impact.
- - Excellent communication and mentoring skills.
- - Thrives in ambiguity, fast-paced environments, and early-stage startup culture.
- Why Join aion?
- - Work directly with high-pedigree founders shaping technical and product strategy.
- - Build infrastructure powering the future of AI compute globally.
- - Significant ownership and impact with equity reflective of your contributions.
- - Competitive compensation, flexible work options, and wellness benefits