Lead AI Architect

About this role

Company : enGen Job Description :  JOB SUMMARY

We are seeking a visionary  AI Architect  to serve as the technical cornerstone of our  artificial intelligence strategy . While an AI Engineer builds the models, you will design the entire ecosystem they live in. You will be responsible for defining the  high-level structure of our AI systems , ensuring they are  scalable, secure, and seamlessly integrated with our enterprise infrastructure . As an Architect, you sit at the intersection of business value and technical feasibility, translating executive goals into robust technical blueprints. This role involves defining the  end-to-end architecture for AI solutions , encompassing  data pipelines, model storage, inference engines, and front-end integration . The individual will be responsible for evaluating and selecting the optimal " tech stack ," including specific  LLMs, vector databases, and orchestration frameworks , to meet the company's long-term needs. Key responsibilities also include establishing  best practices for MLOps  to ensure consistent coding standards, model versioning, and deployment strategies across the engineering team. The architect will design  scalable systems  capable of handling  massive data throughput and low-latency inference  for real-time applications. A critical aspect of the role is architecting " Human-in-the-loop " systems and guardrails to ensure  data privacy, compliance (GDPR/CCPA), and AI safety . This position requires strong  cross-functional leadership , acting as the technical liaison between Data Science, DevOps, and Product teams to align the AI roadmap with infrastructure capabilities.

Candidates should possess  architectural expertise , including a deep understanding of  distributed systems, microservices architecture, API design, and cloud-native patterns . Proficiency in designing complex data schemas for both structured and unstructured data, as well as experience with  Infrastructure as Code (IaC)  tools like Terraform or Ansible to manage AI infrastructure, is required. Technical proficiencies include expert-level knowledge of  cloud platforms  such as AWS (SageMaker), Azure (Azure ML), or GCP (Vertex AI). Mastery of the  AI lifecycle , from frameworks like PyTorch/TensorFlow to deployment tools like Kubeflow, MLflow, or BentoML, is essential. An expert understanding of  Generative AI , including Transformer architectures,  RAG (Retrieval-Augmented Generation) , and fine-tuning methodologies, is also a key qualification.

The ideal candidate will have a proven track record of  5+ years in software engineering or data science , with at least  3 years in an architectural role . Experience in  enterprise integration , particularly in migrating legacy systems to  AI-augmented workflows , is highly valued. This role also demands  thought leadership , including the ability to mentor senior engineers and present complex architectural decisions to the C-suite.

Essential competencies for this role include  strategic thinking , with the ability to anticipate 12–24 months ahead in AI trends and prepare the infrastructure accordingly.  Cost management skills , specifically optimizing cloud spend for GPU/TPU resources, are crucial.  Exceptional communication skills  are also required, demonstrated through the ability to document architectural patterns and lead technical design reviews.

ESSENTIAL RESPONSIBILITIES • Lead to provide strategic consultation to business customers in defining or designing business processes, functions and organizational structures, as well as in researching, identifying and internally marketing enabling technologies based on customer capability requirements. Facilitate development of the most complex enterprise business solutions that combine knowledge of particular business processes and issues, general technological options, and process facilitation techniques. Lead and participate in enterprise strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development. • Specify and design large or the most complex systems, solutions, networks, infrastructure elements, or processes. Select appropriate design standards, methods and tools and ensures that they are applied effectively. Lead reviews of others’ system design to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Establish policy for selection of architecture components. Evaluate and undertake impact analysis on the most complex major design options. Ensure that the system architecture balances functional, service quality and systems management requirements. • Use appropriate tools, including models of components and interfaces, to contribute to the development of the most complex architectures. Produce detailed component requirements, specifications and translates these into detailed solutions/designs for implementation using selected products. Provide advice on technical aspects of system development, integration (including requests for changes, deviations from specifications, etc.) and processes.  Ensure that relevant technical and business strategies, policies, standards and practices are applied correctly. • Select and use tools and methods to establish, clarify, and communicate the functional and non-functional requirements of system users, their characteristics, and tasks.  Identify the technical, organizational, and physical environment in which the most complex products or systems will operate. Identify, propose, initiate, and lead significant improvement programs, taking responsibility for the quality and appropriateness of the work performed and the realization of measurable business benefits. Modify existing process improvement approaches and/or develop new approaches to achieving improvement. • Lead the resolution of a variety of architecture and business problems and serve as a technical or business lead for

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