Sr Lead Software Engineer

Lumen Technologies

1d • Remote

About The Position

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world. By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next. At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We’re looking for top-tier talent ready to take on the challenge. Join us in building the future.The RoleAs a Senior Lead Software Engineer, you will be at the forefront of our AI initiatives, leading the design, development, and implementation of cutting-edge AI solutions. You will work closely with cross-functional teams to drive innovation and ensure the successful delivery of AI projects. Your expertise will be crucial in shaping the future of our AI capabilities and driving business value through advanced technologies.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a closely related technical field.
• Minimum of 10+ years of professional software engineering experience, with at least 4 years specifically focused on developing and deploying AI/ML solutions.
• Python Programming
• Dialogflow (CX/ES), Agent Builder , Conversational Agents
• Google Cloud Platform (GCP)
• Core AI/ML Concepts
• Familiarity with Copilot Studio and Goodle ADK development
• Backend API Integration
• Familiarity with building agentic systems
• Team Leadership
• Cross-Functional Collaboration
• Strong Communication
• Problem-Solving
• Strategic Thinking
• Responsible AI (Familiarity)
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into AI solutions.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
• Demonstrated leadership abilities, with experience in mentoring and guiding junior engineers.
• A deep passion for AI and a commitment to staying current with the latest industry trends and advancements.

Nice To Haves

• Generative AI (Preferred)
• Vertex AI (Preferred)
• Firestore, BigQuery (Preferred)
• MLOps/AIOps (Preferred)
• Experience contributing to or utilizing an integrated Generative AI platform on GCP designed to streamline the end-to-end lifecycle of AI applications, from development and experimentation to robust deployment and monitoring.
• Hands-on experience with key components of modern AI/ML infrastructure and data stacks within the Google Cloud ecosystem, specifically including Vertex AI Vector Search, Firestore, Vertex AI Model Registry, and BigQuery.

Responsibilities

• AI Solution Development: Lead the end-to-end design, development, testing, deployment, and ongoing support of sophisticated conversational AI solutions.
• Project Leadership: Oversee AI projects from conception to deployment, ensuring timely delivery and alignment with business objectives.
• Collaboration: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet their needs.
• Innovation: Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to drive continuous improvement and innovation within the team.
• Mentorship: Provide technical guidance and mentorship to junior AI engineers, fostering a culture of learning and growth.
• Performance Optimization: Optimize AI models for performance, scalability, and reliability, ensuring they meet the highest standards of quality.
• Documentation: Create and maintain comprehensive documentation for AI models, algorithms, and processes to ensure transparency and reproducibility.
• Integration: Integrate conversational agents seamlessly with backend APIs, databases (like Firestore), CRM systems, and other enterprise platforms within the GCP ecosystem.
• Advanced Capabilities: Explore and implement advanced capabilities, potentially including Generative AI features available through Agent Builder and Vertex AI, to enhance conversational intelligence.
• MLOps/AIOps Practices: Establish and maintain comprehensive MLOps/AIOps practices for conversational AI models on GCP, encompassing model monitoring, continuous integration/delivery (CI/CD), versioning, scalability, and robust alerting.
• System Health Monitoring: Design and implement systems to collect, analyze, and leverage IT telemetry data and logs (using tools like Google Cloud Monitoring/Logging) for proactive alerting and monitoring of AI system health, performance, and potential issues.
• Performance Metrics: Analyze and optimize conversational AI solutions for key performance metrics including latency, accuracy, user satisfaction, operational cost, and reliability on GCP.
• Knowledge Sharing: Mentor junior engineers, share knowledge, and contribute to establishing best practices for conversational AI development within the organization.

Benefits

• Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.
• Bonus structure (short-term incentives, long-term incentives and/or sales compensation)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior