Sr Lead AI Engineer

Lumen Technologies; United States; Remote; USD 129,000 - 173,000; Full time

Job summary

A leading company is seeking a Senior Lead AI Engineer to spearhead AI initiatives, driving innovation and delivering impactful solutions. This remote position requires expertise in AI/ML, strong leadership skills, and a passion for technology. The role involves collaboration with cross-functional teams, optimizing AI models, and mentoring junior engineers. Join us to shape the future of AI and make a lasting impact.

Benefits

Health Benefits

Life Insurance

Voluntary Lifestyle Benefits

Qualifications

• 7-9 years of software engineering experience, 4 years in AI/ML solutions.
• Hands-on experience with Google Cloud AI/ML infrastructure.

Responsibilities

• Lead design, development, and implementation of AI solutions.
• Oversee AI projects ensuring timely delivery and alignment with objectives.
• Mentor junior engineers and foster a culture of learning.

Skills

Team Leadership

Strong Communication

Analytical Skills

Passion for AI

Education

Bachelor's or Master's degree in Computer Science

Tools

Dialogflow

Google Cloud Platform

Python

Firestore

BigQuery

MLOps/AIOps

Job description

About Lumen

Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.

We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

The Role

As a Senior Lead AI Engineer/ 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.

Location

This is a work from home position within the US.

The Main 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.

What We Look For in a Candidate

• Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a closely related technical field.
• Around7- 9years of professional software engineering experience, with at least 4 years specifically focused on developing and deploying AI/ML solutions.
• Have experience with Dialogflow (CX/ES) andAgent Builder
• Should have experience with Core AI/ML Concepts.Google Cloud Platform (GCP),python programming, geanerative AI (Preferred) and Vertex AI (Preferred)
• Good with Firestore, BigQuery (Preferred), MLOps/AIOps (Preferred), backend API Integration, familiarity with building agentic systems
• Team Leadership and Cross-Functional Collaboration, Strong Communication, Strategic Thinking
• Responsible AI (Familiarity)
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex business requirements into AI solutions.
• Communication: Should be excellent in communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
• Passion for AI: A deep passion for AI and a commitment to staying current with the latest industry trends and advancements.
• 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.
• Deep expertise across the broader Google Cloud AI/ML suite, such as Vertex AI (Training, Pipelines, Prediction, Experiments), Google Cloud Speech-to-Text API, Text-to-Speech API, and BigQuery ML.
• Proven experience implementing and managing robust MLOps/AIOps practices, leveraging Google Cloud's operations suite (Cloud Monitoring, Cloud Logging) to analyze IT telemetry data and logs for building proactive monitoring and alerting systems.
• Strong understanding and practical application of Large Language Models (LLMs), advanced prompt engineering techniques, and Retrieval-Augmented Generation (RAG) architectures, particularly leveraging technologies like Vector Search within the GCP environment.
• Familiarity with Responsible AI principles and practical experience implementing safeguards, guardrails, and bias detection/mitigation techniques within AI systems deployed on GCP.

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location Based Pay Ranges:

$129,639 - $172,852 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY.
$136,121 - $181,494 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI.
$142,603 - $190,137 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA.

Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

• Benefits
• Bonus Structure

#LI-ZM1

Requisition #: 338148

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Application Deadline
05/17/2025