Sr Lead Software Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Lead Software Engineer in United States.

This role sits at the forefront of building next-generation AI-powered software solutions, driving the design and delivery of advanced conversational and generative AI systems at enterprise scale. You will lead complex engineering initiatives from architecture through deployment, working across highly collaborative, cross-functional teams. The position blends deep technical execution with strategic leadership, enabling you to shape AI capabilities that directly impact product innovation and business outcomes. Operating in a fast-paced, cloud-native environment, you will work extensively with modern AI frameworks and Google Cloud technologies. You will also play a key role in establishing engineering best practices, improving system performance, and ensuring scalable, reliable AI solutions. This is a highly visible leadership role where your expertise will influence both technical direction and organizational AI maturity.

Lead the end-to-end development of advanced AI and software solutions, ensuring high-quality architecture, implementation, deployment, and operational support for scalable conversational and generative AI systems. Drive technical excellence across multiple initiatives while ensuring alignment with business goals and enterprise architecture standards.

• Lead AI solution development lifecycle including design, development, testing, deployment, and ongoing optimization of conversational AI systems.
• Oversee complex AI projects, ensuring timely delivery, technical accuracy, and alignment with business and product objectives.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable AI-driven solutions.
• Integrate AI systems with enterprise platforms, including APIs, databases, CRM systems, and Google Cloud services.
• Design and implement MLOps/AIOps frameworks, including CI/CD pipelines, monitoring, versioning, and system observability.
• Optimize AI models for performance, scalability, latency, reliability, and user experience.
• Establish documentation standards, technical governance, and best practices for AI development and deployment.
• Mentor and guide junior engineers while contributing to engineering culture and knowledge sharing across teams.

This role requires extensive software engineering experience with a strong specialization in AI/ML systems, cloud-native development, and enterprise-scale application delivery.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related technical field.
• 10+ years of software engineering experience, including at least 4 years focused on AI/ML solution development and deployment.
• Strong proficiency in Python and experience with conversational AI platforms such as Dialogflow and Agent Builder.
• Deep experience with Google Cloud Platform (GCP) and AI/ML services including Vertex AI and related tools.
• Strong understanding of core machine learning concepts, generative AI, and agentic system design.
• Experience with backend API integration, system architecture, and enterprise application development.
• Demonstrated leadership in mentoring engineers and driving cross-functional collaboration.
• Strong analytical, problem-solving, and communication skills with the ability to translate technical concepts for business stakeholders.
• Familiarity with MLOps/AIOps practices, observability, and production AI system monitoring.

• Fully remote role within the United States.
• Competitive compensation package based on experience and location.
• Comprehensive health, life, and wellness benefits supporting physical and mental well-being.
• Opportunities to work on cutting-edge AI and cloud technologies at enterprise scale.
• Strong focus on professional development, mentorship, and technical growth.
• Inclusive and collaborative culture emphasizing innovation, transparency, and teamwork.
• Exposure to advanced generative AI initiatives and large-scale production systems.