Job Brief

We are looking for an accomplished Technical Program Head with 14–20 years of experience in engineering leadership, technical program management, and large-scale product/program delivery. The candidate should combine robust hands-on technical understanding with exceptional delivery and program management capabilities, with expertise across Artificial Intelligence, Machine Learning, Computer Vision, Physical AI, Robotics, AI infrastructure, and cloud-native platforms. The role will be responsible for driving complex multidisciplinary engineering programs from architecture and planning through development, integration, validation, deployment, and production scale-up.

Key Responsibilities

- Own end-to-end delivery of multiple strategic AI, robotics, computer vision, and autonomous-system programs.
- Lead program planning, technical execution, architecture reviews, milestones, dependencies, budgets, risks, and delivery commitments.
- Translate business and customer requirements into technical roadmaps, program plans, and measurable engineering outcomes.
- Establish technical governance, architecture standards, engineering best practices, and program delivery frameworks.
- Drive cross-functional execution across AI/ML, computer vision, robotics, embedded systems, cloud/platform, simulation, QA, DevOps/MLOps, and hardware teams.
- Lead customer/Tier-1 technical discussions, solution reviews, escalations, and delivery governance.
- Manage globally distributed engineering teams and engineering leaders. • Drive design and architecture decisions for scalable, reliable, real-time, and safety-critical systems.
- Establish program KPIs covering schedule, quality, cost, technical maturity, risks, engineering productivity, and customer satisfaction.
- Drive release planning, integration, validation, deployment, hypercare, and production stabilization.
- Identify technical and program risks early and establish effective mitigation and recovery plans.
- Mentor engineering managers, architects, technical leads, and program managers.
- Drive innovation, technology roadmaps, reusable platforms,



IP creation, and engineering excellence.

Required Skills

Artificial Intelligence & Machine Learning

- Strong expertise in AI/ML, Deep Learning, Foundation Models, Transformers, CNNs, multimodal learning, reinforcement learning, and multi-agent systems.
- Experience with large-scale model training, optimization, evaluation, and production-grade AI/ML.
- Strong understanding of Generative AI, representation learning, self-supervised learning, and scalable AI architectures.

Computer Vision & Perception

- Strong expertise in object detection, classification, segmentation, tracking, depth estimation, and real time image/video analytics.
- Experience with YOLO, Vision Transformers, Faster R-CNN, SSD, SLAM, multi-view vision, 3D perception, and sensor fusion.
- Experience building and deploying robust perception systems for industrial, robotic, or autonomous applications.

Robotics & Autonomous Systems

- Strong experience in autonomous robotic platforms, wheeled/quadrupedal robots, and by wire/autonomous vehicle architectures.
- Expertise in state estimation, localization, motion planning, low-level control, and hardware-software integration.
- Working knowledge of ROS/ROS2, Autoware, and real-time robotic/autonomous systems.

Program & Delivery Management

- Proven experience managing large-scale, multidisciplinary AI/ML, robotics, computer vision, and autonomous-system programs from concept to production.
- Strong expertise in program planning, estimation, budgeting, resource/capacity planning, risk and dependency management, and delivery governance.
- Experience with Agile/Scrum/SAFe, release management, KPI/OKR governance, quality management, and production deployment.



• Strong customer, vendor, partner, and executive stakeholder management capabilities. • Demonstrated ability to drive multiple complex programs while ensuring schedule, cost, quality, technical maturity, and customer commitments.

Technical & Organizational Leadership

- Proven experience leading large, globally distributed and multidisciplinary engineering organizations.
- Ability to lead Engineering Managers, Architects, Technical Leads, Program Managers, and cross functional engineering teams.
- Strong architecture review, technical governance, mentoring, decision-making, and executive communication capabilities.

AI Infrastructure, Data & Simulation

- Experience designing scalable AI/ML infrastructure, multimodal data pipelines, and model lifecycle/MLOps platforms.
- Strong understanding of Azure/GCP, CI/CD, containerization, orchestration, monitoring, and production AI operations.
- Experience with simulation-based development, scenario generation, validation, and automated regression testing.

Physical AI & Embodied Intelligence

- Expertise in Perception–Decision–Planning–Control architectures for AI systems operating in physical environments.
- Experience with sim-to-real transfer, real-time inference, online adaptation, and safety-aware/fail operational architectures.
- Strong understanding of AI integration with robotic and autonomous platforms.

Full Stack Development

- Good to have experience in React/Angular, Python/Node.js/Java, REST APIs, microservices and SQL/NoSQL databases.

Why RoshAi?

- Lead innovative programs in AI, Robotics, and Autonomous Systems
- Shape the future of autonomous mobility and Physical AI
- Collaborate with technology leaders and global customers
- Drive innovation in AI infrastructure and real-time systems
- Be part of a high-growth deep-tech company building AI-powered solutions
- Enjoy competitive pay, performance-based increments, health insurance, wellness programs, rewards and recognition, learning and mentorship opportunities.

📌 Technical Program Head (Kochi)
🏢 RoshAi
📍 Kochi