Systems Architect / Engineering Architecture Lead
Posted November 9, 2026
Job Description
- This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Systems Architect / Engineering Architecture Lead based in India. We are seeking a highly experienced systems architecture professional to contribute to an innovative AI training project focused on complex, real-world engineering workflows. In this role, you will leverage your expertise in system design, multidisciplinary engineering, and technical leadership to develop realistic architectural scenarios. You will translate high-level project objectives into structured architectures, define subsystem interfaces, and coordinate engineering challenges across multiple technical disciplines. Working at the intersection of engineering expertise and AI development, you will help establish meaningful technical benchmarks and evaluation frameworks. This opportunity offers the chance to apply your engineering knowledge to emerging AI technologies without requiring prior AI experience. You will collaborate remotely on intellectually challenging projects that demand precision, analytical thinking, and a deep understanding of complex systems.
- Accountabilities Design realistic engineering projects and scenarios requiring architectural decisions across mechanical, electrical, hardware, software, and manufacturing disciplines. Translate high-level project objectives into detailed system architectures with clearly defined boundaries, subsystem responsibilities, interfaces, and technical constraints. Break complex architectural challenges into interconnected tasks with clearly defined inputs, deliverables, dependencies, and responsibilities for technical specialists. Define system-level requirements and ensure consistency between subsystem specifications and overall project objectives. Evaluate architectural alternatives and conduct technical trade studies to assess feasibility, performance, cost, reliability, and other engineering considerations. Establish and document interfaces, dependencies, and integration requirements across subsystems and engineering disciplines. Develop technical objectives, acceptance criteria, and evaluation frameworks to assess architectural solutions and engineering outcomes. Apply systems engineering principles to identify integration risks, technical conflicts, architectural gaps, and potential design limitations. Review proposed system architectures and evaluate whether solutions meet functional, technical, and operational requirements. Ensure engineering scenarios reflect realistic industry practices, established standards, and practical engineering constraints. Contribute technical expertise to AI training initiatives by developing structured engineering problems and assessing the quality of proposed solutions. Requirements: Substantial professional experience as a Systems Architect, Chief Systems Architect, Engineering Architecture Lead, or in a comparable senior technical leadership position. Proven experience owning and defining architectures for complex engineering systems. Demonstrated ability to lead, coordinate, and collaborate with multidisciplinary engineering teams. Strong expertise in system architecture design, technical trade studies, and interface management. Experience conducting architecture reviews and evaluating system-level design decisions. Ability to translate complex project objectives into structured architectures, technical requirements, and measurable evaluation criteria. Strong understanding of subsystem dependencies, system boundaries, integration challenges, and engineering constraints. Familiarity with multidisciplinary engineering domains, including mechanical, electrical, hardware, software, and manufacturing systems. Strong analytical and problem-solving skills, with the ability to evaluate complex technical challenges and make sound architectural decisions. Excellent organizational skills and attention to detail when structuring engineering workflows and documenting technical requirements. Strong technical communication skills, including the ability to explain complex engineering concepts clearly and coordinate across disciplines. English proficiency at B2 level or higher. Previous AI or machine learning experience is not required; relevant engineering architecture expertise is the primary qualification. Benefits: Fully remote working arrangement. Flexible location, with candidates worldwide considered based on relevant experience. Contractor engagement offering flexibility and project-based collaboration. Opportunity to contribute to innovative AI training projects without requiring prior AI experience. Chance to apply senior engineering expertise to complex, real-world technical challenges. Exposure to multidisciplinary engineering workflows and emerging AI technologies. Opportunity to collaborate with technical specialists on intellectually stimulating projects. Meaningful contribution to the development and evaluation of advanced AI systems.
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