AI/ML Engineering Lead

Who we are

Join our Agentic AI Factory as an AI/ML Engineering Leader, where you will guide a high-performing team of Agentic AI Solutions Engineers in the design, delivery, and scaling of state-of-the-art AI-driven solutions. Reporting to the Factory Manager, you will coordinate technical direction, best practices, and resource allocation, fostering ongoing innovation and technical excellence across multiple client and internal projects.

While leading by example with your own technical expertise, you will serve as the primary point of technical leadership, coaching, and escalation within the team. You will champion collaboration in translating business needs into robust, scalable, and impactful Agentic AI solutions, while partnering strategically with research, product, and operations teams. In this hands-on leadership role, you will help drive the evolution of agentic AI capabilities at the organizational level.

What you'll be doing

• Allocate team resources and assign projects effectively to balance workload, meet delivery deadlines, and maximize business impact.
• Oversee and guide technical solution design, architecture, and code reviews, ensuring adherence to standards for security, scalability, compliance, and responsible AI.
• Act as the technical escalation point for complex engineering challenges, providing resolution and guidance to unblock team members.
• Maintain strong hands-on involvement in key projects—prototyping, modeling, integration, and deployment—while developing and upskilling the team.
• Work closely with product owners, project managers, and business stakeholders to gather requirements and translate them into actionable technical plans.
• Support prioritization of use cases, solution feasibility assessment, and resource planning within the engineering team.
• Foster a culture of continuous improvement in engineering practices, DevOps/MLOps, prompt engineering, model optimization, and cloud deployment strategies.
• Drive collaborative development of reusable components, accelerators, and best practices, helping to scale AI agent and solution delivery across the factory.
• Support operationalizing AI solutions, ensuring smooth integration with enterprise systems (CRM, ERP, HRIS, etc.), robust data pipelines, and consistent performance in production.
• Oversee compliance with security policies, privacy regulations, and responsible AI standards.
• Cultivate knowledge sharing, code quality, and peer learning within the team.
• Participate in performance evaluations, hiring, and onboarding of new Solutions Engineers.
• Keep abreast of cutting-edge trends in agentic AI, LLMs, semantic search, and cloud technologies; drive adoption of relevant innovations in factory projects.
• Provide clear technical and status documentation, communicate progress and risks to project leadership, and represent Solutions Engineering in cross-functional forums.

What you'll bring along

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• Minimum 5-10 years in AI/machine learning engineering or software development roles, with at least 1–2 years leading (formally or informally) engineering teams or complex AI solution delivery.
• Strong leadership and team development skills, ideally with previous team or technical lead experience (formal or informal).
• Advanced hands-on expertise in artificial intelligence, natural language processing (NLP), machine learning, and prompt engineering.
• Deep proficiency in Python and major AI/ML libraries, and experience with API development/integrations in an enterprise context.
• Experience designing, deploying, and scaling AI models and agent frameworks (LLMs/SLMs), with an appreciation for both technical depth and real-world impact.
• Familiarity with cloud platforms, especially Azure, AWS, or GCP, and with DevOps/MLOps practices for the AI lifecycle.
• Good working knowledge of data pipeline engineering, and practical use of vector databases and semantic search.
• Experience implementing and enforcing standards for secure, reliable, and compliant AI solutions (GDPR, HIPAA, etc.).
• Strong analytical, problem-solving, and troubleshooting capabilities.
• Excellent interpersonal and communication skills; able to explain technical details clearly to engineers and business users alike.
• Passion for continuous learning, coaching, and fostering a collaborative, innovation-driven team culture.
• Relevant certifications in AI, cloud technology, or engineering leadership (e.g., Microsoft Certified: Azure AI Engineer Associate, Certified ScrumMaster, or similar) are an asset.
• Demonstrated success delivering robust agentic AI solutions in enterprise or large-scale environments.
• Hands-on experience in AI/ML model development, prompt engineering, and deployment via cloud and DevOps/MLOps practices.
• Track record of coaching and mentoring technical staff, and managing workload/resource allocation.
• Familiarity with agile methodologies and fast-paced, project-driven environments.
• Excellent command of both spoken and written English.