Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform.
We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters.
We’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we’re building the next generation of enterprise AI and we’re looking for exceptional people to help us scale.
Who You AreYou're a customer-focused AI consultant and software engineer who enjoys solving complex business problems using cutting-edge AI technologies. You have experience working directly with enterprise customers, understanding their business challenges, and designing scalable AI solutions that deliver measurable business outcomes.
You combine strong technical expertise with exceptional consulting skills. You're comfortable translating business requirements into solution architectures, collaborating with engineering teams to deliver production-ready AI applications, and guiding customers through every stage of their AI transformation journey.
You're product-minded and understand that successful AI adoption is about more than technology. It requires strategic thinking, customer empathy, technical leadership, and the ability to align AI capabilities with business objectives.
You thrive in customer-facing environments, enjoy working across multiple industries, and are excited to help organizations unlock the full potential of enterprise AI.
What You'll DoCustomer Discovery & AI Consulting
- 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.
Solution Architecture
- 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.
Implementation & Delivery
- 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.
Cross-functional Collaboration
- 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.
Thought Leadership
- 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.
RequirementsTechnical 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.
- Enterprise AI: Experience implementing enterprise AI platforms, intelligent automation, AI copilots, multi-agent systems, or AI workflow orchestration.
- Industry Consulting: Experience working with customers across financial services, healthcare, manufacturing, retail, public sector, or other enterprise industries.
- Cloud & Infrastructure: Hands-on experience with cloud architecture, Infrastructure-as-Code, DevOps, MLOps, or enterprise platform engineering.
- Pre-sales & Customer Success: Experience supporting enterprise sales cycles, solution demonstrations, technical workshops, or proof-of-concept engagements.
- Enterprise Integrations: Experience integrating AI solutions with enterprise applications, CRMs, ERPs, productivity suites, and business systems.
BenefitsPreferred 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.
- 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
