Roles at NextGen Analytics

At NextGen Analytics, we operate as a fully remote consultancy, bringing together top AI talent to deliver cutting-edge solutions for businesses. All positions are contract-based, meaning team members work on a project-by-project basis rather than as full-time employees. We act as facilitators, matching skilled professionals with AI-driven challenges that align with their expertise. This model allows for flexibility, autonomy, and the opportunity to work on a variety of projects spanning generative AI, AI agents, and AI project management. If you’re looking to contribute your skills to meaningful AI initiatives while maintaining control over your schedule and career trajectory, explore the roles below.

Prompt Engineer

As a Prompt Engineer, you will design, refine, and optimize AI-generated outputs to maximize accuracy, creativity, and relevance. This role requires expertise in prompt crafting, model behavior analysis, and iterative testing to ensure AI-driven responses align with business needs.

Machine Learning Engineer

Machine Learning Engineers at NextGen Analytics develop, fine-tune, and deploy AI models to support a wide range of applications, from generative AI to AI-driven automation. This role involves training models, optimizing performance, and integrating AI solutions into existing business workflows.

AIOps Engineer

AIOps Engineers focus on leveraging AI to enhance IT operations, automating monitoring, incident detection, and system optimization. This role involves working with machine learning models, infrastructure automation, and AI-driven analytics to improve system reliability and efficiency.

AI Architect

AI Architects design and implement scalable AI frameworks, ensuring that generative AI and AI agents are seamlessly integrated into business ecosystems. This role requires a deep understanding of AI infrastructure, model deployment strategies, and enterprise AI architecture.

AI Project Manager

AI Project Managers oversee the end-to-end execution of AI initiatives, ensuring alignment with business goals, compliance requirements, and technical feasibility. This role requires expertise in Agile methodologies, risk management, and coordinating cross-functional teams.

Data Analyst

Data Analysts extract insights from structured and unstructured data to inform AI strategies and business decisions. This role involves data visualization, statistical analysis, and collaboration with AI teams to refine models and enhance data-driven decision-making.

Data Engineer

Data Engineers build and maintain the data pipelines that power AI applications, ensuring seamless data flow and integration. This role involves working with big data technologies, ETL processes, and cloud-based data storage solutions.

Data Architect

Data Architects design and implement scalable, secure, and efficient data infrastructures that support AI-driven operations. This role requires expertise in data modeling, governance, and database management to ensure optimal AI performance.

Product Owner

Product Owners define and prioritize AI product roadmaps, translating business needs into actionable development strategies. This role involves close collaboration with AI teams, stakeholders, and clients to ensure the successful delivery of AI-driven solutions.