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Mid-level generalist engineering manager with AI focus, moderate brand, and common title elevates applicant competition.
Engineering management and AI integration skills are transferable but somewhat industry-context sensitive.
Explicit 5+ years and mandatory delivery, Agile, and leadership skills tighten screening.
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Lead a cross-functional software development team focused on integrating agentic AI capabilities and LLM APIs into web applications and platforms.
Drive team cohesion and deliver AI-driven features by collaborating with product managers, data scientists, and engineers to optimize system performance and automate business workflows.
Manage deployment and scalability of applications on cloud platforms, ensuring security, reliability, and leveraging advancements in generative AI and cloud technologies.
At least 5 years’ experience in a senior delivery role with proven delivery of complex software products or digital transformation programmes using Agile principles.
Strong understanding of agile, lean, and flow-based delivery practices is mandatory.
Degree in technology is preferable but not essential if experience criteria are met.
Work Experience Required: Minimum 5 years in senior delivery roles; Notice period: Not explicitly mentioned in the JD.
Experienced in managing multi-disciplinary teams in AI-focused software development with strong facilitation and stakeholder management skills.
Demonstrated ability to work effectively in agile environments, including coaching teams and handling distributed or hybrid team settings.
Technically versed in DevOps practices, CI/CD pipelines, and modern engineering workflows, with the capacity to adapt quickly in a fast-changing environment.