Mgr. Software Engineering-AI

Overview

Lead, mentor, and develop a team of 10+ AI/ML software engineers, fostering a culture of growth, collaboration, and technical excellence. Ensure high performance by providing regular feedback, coaching, and career development opportunities.

• AI/GenAI Architecture and Delivery:
  Oversee the design and delivery of AI and generative AI systems, ensuring that all solutions are scalable, robust, and high-quality. Guide your team to implement innovative AI models, tools, and infrastructure that drive business outcomes.
• Lead your team in an agile environment, participating in sprint planning, daily stand‑ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high‑quality AI solutions.
• Technical Excellence:
  Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud‑based AI/ML solutions to ensure the delivery of secure, scalable AI applications.
• Innovation:
  Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the company’s thought leadership in AI.
• Stakeholder Communication:
  Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non‑technical leadership and product teams.
• Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross‑functional teams to break down complex engineering tasks and drive the execution of the AI roadmap.

• 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role overseeing AI or machine learning teams.
• Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast‑paced, dynamic environments.
• Proficient in Python and ML frameworks such as PyTorch or Tensor Flow.
• Strong experience with AI, machine learning, and deep learning technologies.
• Solid understanding of the software development lifecycle, object‑oriented programming, concurrency, design patterns, RESTful services, and microservice architecture.
• Experience with cloud platforms (AWS, Google Cloud, Azure) with a focus on AI/ML deployment (e.g., Vertex AI, GKE, Big Query, Kubeflow, Tensor Flow Serving).
• Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, Git Hub Actions, Concourse).
• Strong people management and leadership skills, with experience leading cross‑functional teams.
• Proven ability to mentor engineers, manage competing priorities, and align team efforts with business objectives.
• Strong understanding of agile methodologies, with experience leading teams in an agile environment.
• Knowledge of best practices for managing sprints, tasks, and project timelines.
• Ability to communicate complex technical concepts to non‑technical stakeholders and build strong working relationships across the organization.
• Experience working with large language models (LLMs) or fine‑tuning open‑source models like GPT.
• Familiarity with modern AI development tools such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines.
• Experience in high‑compliance or enterprise‑grade environments with a focus on AI ethics, privacy, and security.
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Ph.D. is a plus.

Ultimate Kronos Group