Principal Solutions Architect - Advanced Technologies

As a Principal Solutions Architect at our client, a global BPO services provider specializing in advanced AI/ML data operations, your role will be crucial in scaling Autonomy and AI Data Services. You will combine business development, technical leadership, and delivery support to bridge the gap between client needs, solution design, and operational execution. Your expertise will position our client as a leader in autonomy and AI-driven BPO services. **Key Responsibilities:** - Lead the design of tailored solutions for Autonomy and AI Data Services, ensuring alignment with client needs and operational capabilities. - Conduct technical workshops, scope problem statements, and support proposals/RFP responses. - Build strong client relationships, engaging with senior stakeholders, engineering leaders, and C-level executives. - Support business development by qualifying opportunities, preparing proposals, and acting as a technical lead during client engagements. - Partner with delivery teams to optimize workflows, troubleshoot challenges, and ensure service quality. - Provide domain leadership, staying ahead of industry trends and embedding best practices into solutions. - Review complex deliverables and ensure adherence to high-quality standards. **Qualifications Required:** - Bachelors/Masters in Computer Science, Engineering, Data Science, or related field. - 7+ years in solutions architecture, AI/ML operations, or data operations in AV/ADAS/UAV/Robotics. - Strong knowledge of autonomy systems from R&D through deployment. - Expertise in data annotation (2D/3D), perception models, and sensor technologies (LiDAR, Radar, Cameras, Multi-Sensor Fusion). - Advanced skills in Python, C++, TensorFlow, PyTorch, OpenCV, and cloud platforms (AWS, GCP, or Azure). - Experience in AI workflows including LLMs, RLHF, RAG, model evaluation, and risk/quality controls. - Excellent communication and client-facing skills, with a proven ability to translate technical solutions into business outcomes. In addition to the above requirements, a background in BPO, ML operations, or AI data services is preferred. Experience with autonomy tech companies, OEMs, robotics manufacturers, or large-scale enterprise AI projects would be advantageous. Familiarity with data platforms such as Applied Intuition, Deepen, Dataloop, Segments, or in-house solutions, as well as knowledge of ISO, SOC, TISAX, and cybersecurity frameworks, will be beneficial for this role.,