Centific
Engineering Product & Platform Leader – AI & Generative Video Systems
Centific, New York, New York, us, 10261
Overview
Engineering Product & Platform Leader – AI & Generative Video Systems. We are seeking a visionary Engineering Product & Platform Leader to spearhead our AI initiatives in India. This senior role requires an advanced degree (Ph.D. or Master’s) and significant industry experience leading global engineering teams to build AI products and platforms. The primary focus is on product development and platform architecture, leveraging state-of-the-art generative AI and video-language models (multimodal AI systems capable of understanding video and text) to drive innovation. The Engineering Product & Platform Leader will manage existing teams and hire new talent to grow the organization’s AI capacity. He or she will define and execute the long-term AI strategy and oversee platform development across the company. Based in India (with limited travel), this is a high-impact leadership role that blends deep technical expertise with strategic vision in AI product engineering.
Lead cross-functional global engineering teams in developing scalable AI products and platforms integrating generative and multimodal (video-language) models.
Drive end-to-end product strategy, architecture, execution, and delivery for AI-first products.
Partner with research, product management, and design teams to translate scientific breakthroughs into production-ready systems.
Define technical roadmaps for multimodal AI infrastructure, including video understanding, generation, and real-time inference systems.
Establish platform frameworks for model training, evaluation, deployment, and performance optimization across distributed compute environments.
Oversee platform reliability, scalability, and system integration efforts to support global user bases.
Mentor engineering leaders and cultivate a culture of innovation, technical excellence, and continuous learning.
Collaborate with executives to align AI platform strategy with business objectives and long-term vision.
Architecture & Technical Strategy
Define and drive the overall AI architecture and technical strategy for the platform, ensuring solutions align with business objectives and enterprise standards. Develop a clear technical vision for how AI and ML components integrate into the product platform and communicate this vision to stakeholders at all levels.
AI Product Development
Lead end-to-end development of AI-driven product features – especially those leveraging generative AI and video-language models – from concept and prototyping to production deployment. Use agile methodologies and iterative prototyping to rapidly test and refine new AI capabilities. Ensure AI features are delivered with high performance, reliability, and a focus on excellent user impact.
Platform Engineering
Oversee the design and enhancement of the core AI platform infrastructure. Architect and implement scalable AI systems that integrate with cloud services (e.g. AWS, Azure) and support full model lifecycles (robust MLOps/LLMOps pipelines). Optimize the platform for efficient large-scale AI workloads, leveraging advanced tools and techniques to handle big data, large language models, and real-time processing needs.
Team Leadership & Talent Development
Direct and mentor a high-performing AI engineering team, providing technical guidance and fostering a collaborative, innovative culture. Manage the growth of team members and recruit new talent to expand capabilities as needed, building a diverse global team (including managing distributed teams across regions). Set clear goals, track performance, and cultivate an environment where engineers can excel in developing cutting-edge AI solutions.
Cross-Functional Collaboration
Work closely with cross-functional groups – including product management, data science, UX, IT, and security – to successfully integrate AI solutions into products and align development efforts with business needs. Coordinate with key stakeholders to ensure AI initiatives support the broader data strategy and deliver value across multiple departments. Effectively communicate project progress, gather requirements, and incorporate feedback from diverse teams throughout the development lifecycle.
Innovation
Stay abreast of the latest advancements in AI, particularly in generative models and multimodal video-language technology. Drive continuous innovation by experimenting with new approaches and translating promising research findings into practical product improvements. Encourage a culture of learning within the team, including publication, patenting of innovations, or participation in AI research communities.
Governance & Best Practices
Establish and enforce best practices for AI development and deployment across the organization. Ensure all AI solutions are developed following Responsible AI principles and governance policies, emphasizing transparency, fairness, and ethical considerations in model design. Implement robust processes for version control, testing, and CI/CD of ML models. Champion standards for scalability, security, and quality (including DevSecOps and MLOps) and ensure compliance with data privacy regulations and industry standards.
Qualifications
Education:
Ph.D. or master’s in computer science, Electrical Engineering, or a related technical field focused on machine learning, computer vision, or natural language processing.
12+ years in software or AI engineering, including 5+ years leading distributed or global engineering teams.
Proven track record building and scaling AI platforms and products, particularly involving generative or multimodal systems.
Expert understanding of deep learning frameworks (PyTorch, TensorFlow, JAX) and large-scale model training pipelines.
AI/ML Expertise: Deep knowledge of ML algorithms (NLP, computer vision, deep learning). Hands-on experience with generative AI techniques and multimodal models.
Technical Skills: Strong programming and system design skills. Proficiency in Python with TensorFlow/PyTorch. Cloud platforms (AWS, Azure, or GCP) and containerization. Experience with MLOps pipelines and production tools.
Background in cloud-native platform engineering, MLOps, and distributed systems.
Preferred:
Experience with video-language modeling, diffusion-based generation, transformer architectures, or reinforcement learning for content generation.
Exposure to vision-language or video-language AI projects is a strong plus.
AI Thought Leadership: published research, patents, or speaking at AI conferences; involvement in AI communities.
Scalable Systems & MLOps: CI/CD for models and distributed computing experience.
Responsible AI & Governance: experience with ethical and regulatory considerations in AI.
Track record of successful AI product launches at scale and active contributions to open-source AI communities.
Location:
New York, NY or New Jersey, NY or San Francisco Bay Area, CA
Employment Type:
Full-Time
Comprehensive healthcare, dental, and vision coverage
401k plan
Paid time off (PTO)
And more!
Learn more about us at centific.com.
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex, gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Seniority level:
Executive
Employment type:
Full-time
Job function:
Information Technology
Industries:
Software Development and Information Services
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex, gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Engineering Product & Platform Leader – AI & Generative Video Systems. We are seeking a visionary Engineering Product & Platform Leader to spearhead our AI initiatives in India. This senior role requires an advanced degree (Ph.D. or Master’s) and significant industry experience leading global engineering teams to build AI products and platforms. The primary focus is on product development and platform architecture, leveraging state-of-the-art generative AI and video-language models (multimodal AI systems capable of understanding video and text) to drive innovation. The Engineering Product & Platform Leader will manage existing teams and hire new talent to grow the organization’s AI capacity. He or she will define and execute the long-term AI strategy and oversee platform development across the company. Based in India (with limited travel), this is a high-impact leadership role that blends deep technical expertise with strategic vision in AI product engineering.
Lead cross-functional global engineering teams in developing scalable AI products and platforms integrating generative and multimodal (video-language) models.
Drive end-to-end product strategy, architecture, execution, and delivery for AI-first products.
Partner with research, product management, and design teams to translate scientific breakthroughs into production-ready systems.
Define technical roadmaps for multimodal AI infrastructure, including video understanding, generation, and real-time inference systems.
Establish platform frameworks for model training, evaluation, deployment, and performance optimization across distributed compute environments.
Oversee platform reliability, scalability, and system integration efforts to support global user bases.
Mentor engineering leaders and cultivate a culture of innovation, technical excellence, and continuous learning.
Collaborate with executives to align AI platform strategy with business objectives and long-term vision.
Architecture & Technical Strategy
Define and drive the overall AI architecture and technical strategy for the platform, ensuring solutions align with business objectives and enterprise standards. Develop a clear technical vision for how AI and ML components integrate into the product platform and communicate this vision to stakeholders at all levels.
AI Product Development
Lead end-to-end development of AI-driven product features – especially those leveraging generative AI and video-language models – from concept and prototyping to production deployment. Use agile methodologies and iterative prototyping to rapidly test and refine new AI capabilities. Ensure AI features are delivered with high performance, reliability, and a focus on excellent user impact.
Platform Engineering
Oversee the design and enhancement of the core AI platform infrastructure. Architect and implement scalable AI systems that integrate with cloud services (e.g. AWS, Azure) and support full model lifecycles (robust MLOps/LLMOps pipelines). Optimize the platform for efficient large-scale AI workloads, leveraging advanced tools and techniques to handle big data, large language models, and real-time processing needs.
Team Leadership & Talent Development
Direct and mentor a high-performing AI engineering team, providing technical guidance and fostering a collaborative, innovative culture. Manage the growth of team members and recruit new talent to expand capabilities as needed, building a diverse global team (including managing distributed teams across regions). Set clear goals, track performance, and cultivate an environment where engineers can excel in developing cutting-edge AI solutions.
Cross-Functional Collaboration
Work closely with cross-functional groups – including product management, data science, UX, IT, and security – to successfully integrate AI solutions into products and align development efforts with business needs. Coordinate with key stakeholders to ensure AI initiatives support the broader data strategy and deliver value across multiple departments. Effectively communicate project progress, gather requirements, and incorporate feedback from diverse teams throughout the development lifecycle.
Innovation
Stay abreast of the latest advancements in AI, particularly in generative models and multimodal video-language technology. Drive continuous innovation by experimenting with new approaches and translating promising research findings into practical product improvements. Encourage a culture of learning within the team, including publication, patenting of innovations, or participation in AI research communities.
Governance & Best Practices
Establish and enforce best practices for AI development and deployment across the organization. Ensure all AI solutions are developed following Responsible AI principles and governance policies, emphasizing transparency, fairness, and ethical considerations in model design. Implement robust processes for version control, testing, and CI/CD of ML models. Champion standards for scalability, security, and quality (including DevSecOps and MLOps) and ensure compliance with data privacy regulations and industry standards.
Qualifications
Education:
Ph.D. or master’s in computer science, Electrical Engineering, or a related technical field focused on machine learning, computer vision, or natural language processing.
12+ years in software or AI engineering, including 5+ years leading distributed or global engineering teams.
Proven track record building and scaling AI platforms and products, particularly involving generative or multimodal systems.
Expert understanding of deep learning frameworks (PyTorch, TensorFlow, JAX) and large-scale model training pipelines.
AI/ML Expertise: Deep knowledge of ML algorithms (NLP, computer vision, deep learning). Hands-on experience with generative AI techniques and multimodal models.
Technical Skills: Strong programming and system design skills. Proficiency in Python with TensorFlow/PyTorch. Cloud platforms (AWS, Azure, or GCP) and containerization. Experience with MLOps pipelines and production tools.
Background in cloud-native platform engineering, MLOps, and distributed systems.
Preferred:
Experience with video-language modeling, diffusion-based generation, transformer architectures, or reinforcement learning for content generation.
Exposure to vision-language or video-language AI projects is a strong plus.
AI Thought Leadership: published research, patents, or speaking at AI conferences; involvement in AI communities.
Scalable Systems & MLOps: CI/CD for models and distributed computing experience.
Responsible AI & Governance: experience with ethical and regulatory considerations in AI.
Track record of successful AI product launches at scale and active contributions to open-source AI communities.
Location:
New York, NY or New Jersey, NY or San Francisco Bay Area, CA
Employment Type:
Full-Time
Comprehensive healthcare, dental, and vision coverage
401k plan
Paid time off (PTO)
And more!
Learn more about us at centific.com.
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex, gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Seniority level:
Executive
Employment type:
Full-time
Job function:
Information Technology
Industries:
Software Development and Information Services
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex, gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr