Role overview
lead a multi-disciplinary engineering team focused on building scalable applications, genai-based solutions, cloud platforms, and user-centered interfaces.
provide guidance for technical strategy, solution architecture, and delivery excellence across ai/ml, devops, cloud infrastructure, full-stack development, ux research, and data science domains.
possess strong hands‑on technical leadership, excellent communication with stakeholders, and the ability to drive innovation aligned to business value.
work experience in requirements engineering, design & development, reviews & releases.
content based technical review & responsible to present the technical approach to partners.
mentor engineering members and specialists.
run engineering council meetings with progress updates on identified projects and send status reports.
provide roadmap of multi‑market competence topics and support strategic discussions.
knowledge on project acquisition and deliverables.
contribute to developing competence in emerging areas.
key responsibilities
technical leadership & architecture
* define the end‑to‑end software and ai solution architecture, ensuring scalability, reliability, and security.
* lead design and implementation of genai solutions, including model selection, fine‑tuning, vector stores, agentic frameworks, evaluation pipelines, and use‑case feasibility.
* architect full‑stack, microservice‑based applications and support both web and mobile development teams.
* oversee cloud infrastructure and devops ecosystem (ci/cd pipelines, etc.).
* lead and mentor a cross‑functional team with capabilities in full stack application development, ux research & ui/interaction design, data science.
* ensure engineering excellence, coding standards, and documentation practices across the team.
* guide backlog prioritization, estimation, and risk management with product owners and program managers.
stakeholder engagement
* work closely with internal business units, customers, and product stakeholders to translate business needs into software and ai solution architectures.
* communicate strategy, progress, and results effectively across technical and non‑technical audiences.
qualifications
required skills & experience
* proven experience architecting and delivering genai solutions, including agentic frameworks, vlm, embeddings, retrieval chains.
* experience with cnn / classification / object detection models (desired, not required).
* strong background in full‑stack or backend architectures (python, node.js, c#, .net core).
* experience with microservices, distributed systems, and rest/graphql apis.
* hands‑on knowledge of devops & cloud environments (azure and/or aws).
* 10+ years leading engineering teams, technical leads, or solution architects.
* proven ability to mentor, coach, and elevate the technical maturity of teams.
* comfortable collaborating with ux researchers & designers, ensuring usability and brand alignment.
preferred (nice to have)
* experience with 3d ui design (blender) or interactive product ux (unity).
* experience in industrial, manufacturing, or iot systems.
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