Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Applications & Software Engineering Manager in the United States. As an AI Applications & Software Engineering Manager, you will lead a high-performing team focused on building intelligent, AI-driven applications that solve complex business challenges. You will oversee the design, development, and deployment of solutions leveraging Large Language Models (LLMs) and other advanced AI/ML technologies. This role combines strategic vision with hands-on technical leadership, allowing you to shape AI innovation, guide cross-functional teams, and ensure scalable, secure, and compliant solutions. You will collaborate with stakeholders across the enterprise, influence technology roadmaps, and foster a culture of continuous learning and experimentation in AI/ML applications. This position offers the opportunity to drive digital transformation while mentoring talent and delivering measurable business impact. Accountabilities · Lead software engineering teams to develop AI-enabled applications using LLMs and other ML models. · Collaborate with business stakeholders to identify opportunities for AI solutions that address high-impact challenges. · Oversee the full software lifecycle, including architecture, development, testing, deployment, and maintenance. · Champion responsible AI practices, ensuring model explainability, ethical considerations, and compliance standards. · Partner with data science and MLOps teams to operationalize models into scalable, maintainable systems. · Drive technology roadmap planning and prioritize AI initiatives aligned with business strategy. · Promote a culture of continuous improvement, innovation, and technical excellence within the team. · Coach, develop, and retain top talent, fostering engagement, collaboration, and knowledge sharing. · Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience. · 5+ years of software engineering experience with a strong foundation in AI/ML technologies. · 3+ years of experience managing teams in a software development environment. · Proven experience deploying LLMs in production environments (e.g., OpenAI, Claude, Mistral, Gemini, LLaMA). · Deep understanding of AI/ML frameworks, generative AI patterns, and MLOps principles. · Experience with cloud-based AI platforms such as Vertex AI, SageMaker, Azure OpenAI, or Snowflake Cortex. · Strong software architecture and agile development expertise. · Exceptional communication skills, capable of conveying complex AI concepts to business leaders. · Preferred: Experience integrating AI into enterprise platforms (ERP, CRM), familiarity with reinforcement learning, autonomous agents, vector search, fine-tuning, or inference optimization. Experience in regulated industries handling sensitive data (e.g., healthcare, finance) is a plus. · Competitive salary and performance-based incentives. · Comprehensive healthcare, dental, and vision coverage. · Paid time off, holidays, and flexible remote work arrangements. · Retirement savings and financial wellness programs. · Professional development, mentorship, and opportunities to advance in AI/ML leadership. · Inclusive, collaborative, and growth-focused work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1