• 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.

• Propose, design, and provision cloud-native data solutions on AWS/Azure. Leverage a deep understanding of Snowflake, IAM, S3, EC2, Kinesis, Sagemaker, Airflow, Kafka, Azure Data Factory, ADLS, Fivetran, DBT, and/or other services and tools in designing and enhancing these solutions. • Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. • Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader. • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks to mature and improve our customer’s data platform. Delegate to and coach Engineers and ensure the successful and timely delivery of these Epics. • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction. • Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes. • Continually hunt for ways to automate, optimize, and expand our customer’s data platform and service offering.

Role Description We are seeking an experienced Python Software Architect to design, build, and continuously enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, and high-performance Python systems that operate reliably within distributed and mission-critical production environments. The ideal candidate will bring deep Python expertise combined with strong fundamentals in software architecture, data engineering, and operational support, and will partner closely with product, data, and infrastructure teams to translate ambiguous business problems into well-engineered technical solutions. You will be expected to think beyond surface-level fixes, identify root causes of complex issues, and proactively raise the engineering bar across the team. Key Responsibilities - Provide end-to-end design, development, and advanced technical troubleshooting for complex enterprise-grade Python applications. - Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems. - Produce architecture and design artifacts for complex applications, ensuring adherence to defined design constraints and performance requirements. - Develop and optimize data processing logic for large-scale datasets, including extraction, transformation, validation, deduplication, enrichment, and performance tuning. - Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes. - Develop reporting mechanisms, dashboards, and data visualizations to support operational insights. - Identify hidden defects, performance bottlenecks, and architectural weaknesses, and implement improvements to coding standards and system reliability. - Contribute to engineering best practices, conduct thorough peer code reviews, and mentor less-senior engineers. - Participate fully in Agile development cycles and CI/CD processes, ensuring consistent and stable deployments. - Collaborate closely with cross-functional stakeholders to clarify requirements and translate them into scalable technical solutions. - Support operational stability through structured incident response, debugging, log analysis, and post-incident reviews. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of applied Python development experience in enterprise-grade environments. - Strong experience building and maintaining large-scale production applications with significant uptime and reliability requirements. - Hands-on experience with relational database systems such as Oracle, MS SQL Server, PostgreSQL, or Sybase. - Strong understanding of the full software development lifecycle (SDLC). - Proven hands-on experience across system design, application development, automated testing, and operational support. - Strong working knowledge of data structures, algorithms, and computational efficiency. - Demonstrated experience debugging and maintaining complex, enterprise-level applications in production. - Solid understanding of Agile methodologies, CI/CD practices, application resiliency patterns, and secure coding standards. - Ability to manage multiple concurrent projects in dynamic environments while keeping stakeholders informed. - Strong written and verbal communication skills, with experience collaborating with both technical and business teams. Preferred Qualifications - Strong shell scripting skills in UNIX/Linux environments. - Solid grounding in mathematical and statistical concepts. - Hands-on experience with the Python data and ML ecosystem, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch. - Working exposure to AWS cloud services and cloud-native storage technologies such as S3, RDS, DynamoDB, and Glue. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544.

• Manage a team of intermediate and senior Solutions Architects across ANZ, setting clear direction and enabling high-quality execution across the region. • Act as a player-coach by partnering directly on strategic opportunities, building executive relationships, and coaching your team through complex sales cycles to help secure the technical win. • Guide regional strategy for technical evaluations, workshops, demonstrations, and proof-of-concept engagements, ensuring customer needs are translated into meaningful technical and business outcomes. • Work cross-functionally with global Solutions Architecture, Sales, Channel, Marketing, Sales Enablement, and Product Management to align on priorities and execute against regional goals. • Manage dotted-line relationships with Channel Solutions Architects and subject matter experts, driving accountability, collaboration, and alignment around common goals. • Maintain strong operational discipline across workload planning, resource allocation, headcount planning, opportunity forecasting, and field execution. • Define and track key performance indicators for the team, communicating progress, risks, and priorities clearly to your team, peers, and senior stakeholders. • Hire, develop, and retain high-performing Solutions Architects while strengthening team capability, encouraging innovation, and building a scalable regional organization for future growth.