Lead AI Engineer Offline

OTAKOYI is looking for a smart and an eager Lead AI Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us!‍

Our Partner has an advanced, enterprise-grade agentic AI platform that centralizes intelligence, knowledge, and task automation across  ecosystem. Built to enhance productivity, orchestrate complex workflows, and provide proactive insights, it is more than a chatbot—it’s an AI-powered front-end for company'a digital transformation. The platform also underpins another application known as Studio AI, for which this role will also be responsible. 

This is a pivotal role, responsible for defining and executing the long-term AI strategy, overseeing architecture, and guiding a team of AI engineers and product developers to evolve the platform. If you have a passion for building transformative AI solutions, excel in strategic thinking, and can lead a team with clear technical vision, this role offers the opportunity to make a lasting impact.
The ideal candidate will bring a unique mix of visionary leadership, technical 
depth, and practical experience, capable of driving Navigator and Studio AI’s next phase of growth.

Key Responsibilities:

• Vision & Strategy: Develop and continuously refine the long-term vision , driving innovation, user-centricity, and strategic alignment with Company's broader business goals;
• AI & System Architecture: Lead the design and development of AI-driven architecture, ensuring scalability, robustness, and cutting-edge technology integration across ML, NLP, data pipelines, and automation components;
• Team Leadership & Mentorship: Guide and inspire a team of AI engineers, ML specialists, and product developers, fostering a collaborative, innovative environment that encourages continuous learning and growth;
• Cross-Functional Collaboration: Partner closely with stakeholders from product, design, engineering, and business units to ensure Navigator’s roadmap aligns with business needs and delivers tangible value across Company;
• Platform Innovation: Keep Navigator at the forefront of technology by incorporating emerging trends in agentic AI, multi-modal interfaces, generative AI, and autonomous orchestration;
• Quality & Performance Optimization: Establish benchmarks for platform performance, reliability, and security. Regularly review and refine Navigator’s core systems to ensure peak performance and user satisfaction;
• User Experience Focus: Drive a user-first approach, ensuring that Navigator’s functionality and interface support intuitive and seamless interactions for Company's employees, partners, and customers;

• Vendor & Technology Management: Evaluate and manage strategic relationships with third-party vendors, especially in areas like NLP, Microsoft integrations (e.g., Copilot), and cloud infrastructure (Azure), to leverage the best available technology.

   

Skills and Qualifications:

• AI Expertise: Deep knowledge of machine learning techniques, NLP, LLMs, and data-driven AI architectures, with hands-on experience designing and deploying complex AI systems; 
• Proficiency with AI development tools and frameworks such as Azure ML, PyTorch, TensorFlow, LangChain, and transformer-based models.
• Experience in using cloud-based AI and data infrastructure, particularly with Azure and Kubernetes.
• Familiarity with tools for managing and optimizing AI models in production (e.g., Milvus for vector search, Graph API for MS integrations include MS Graph API, Copilot Studio etc); 
• System Design and Architecture: Expertise in designing scalable, secure, and fault-tolerant AI systems, including familiarity withmicroservices, API management, and real-time data processing;
• Leadership: Proven ability to lead, mentor, and develop a high-performing AI engineering team, inspiring both innovation and technical excellence;
• Communication: Excellent communication skills with the ability to translate complex AI concepts into strategic roadmaps and actionable plans, tailored to both technical and non-technical stakeholders;
• Strategic Mindset: Strong analytical and strategic thinking skills, with the foresight to anticipate future AI trends and an understanding of how to apply them to a multi-functional platform like Navigator;
• Upper-Intermediate level of English is mandatory.

Will be a plus: 

• Industry Knowledge: Experience within a large, matrixed organization, 
  preferably in technology or a related industry; 
• Experience with AI-driven Multi-Modal Systems: Knowledge of systems integrating chat, voice, visual data, and embedded dashboards is a plus.
• Understanding of Enterprise AI Deployment: Familiarity with compliance, governance, and scalability considerations in deploying AI in enterprise environments;
• Project Management: Skilled in project planning, prioritization, and resource allocation within an agile development environment.