SR AI ENGINEER CONSULTANT II-INDIA

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.

The Role

We are seeking a highly skilled Senior AI Engineer (P4-II) to design, develop, and deploy enterprise-scale Artificial Intelligence, Generative AI, and Agentic AI solutions. The ideal candidate will possess strong expertise in machine learning, large language models (LLMs), AI application engineering, cloud-native architectures, and MLOps practices.

This role requires hands-on technical leadership, the ability to drive projects independently, mentor junior engineers, and collaborate with business stakeholders to translate business problems into scalable AI solutions.

The Main Responsibilities

Key Responsibilities

AI Solution Development

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases.
• Build and optimize Retrieval Augmented Generation (RAG) applications.
• Develop Agentic AI workflows using frameworks such as LangGraph, CrewAI, Semantic Kernel, AutoGen, or equivalent.
• Create scalable AI APIs and microservices using Python and modern backend frameworks.
• Integrate AI capabilities into enterprise platforms and business applications.

Machine Learning & Data Science

• Develop and deploy predictive models using supervised and unsupervised learning techniques.
• Perform feature engineering, model training, evaluation, and optimization.
• Build NLP, classification, recommendation, forecasting, and anomaly detection solutions.
• Implement model monitoring and performance measurement frameworks.

Generative AI & LLM Engineering

• Work with Azure OpenAI, OpenAI, Gemini, Claude, Llama, and other foundation models.
• Design prompt engineering strategies and evaluation frameworks.
• Implement advanced RAG, GraphRAG, memory systems, and agent collaboration patterns.
• Fine-tune models when applicable and evaluate model quality, safety, and performance.
• Drive Responsible AI practices and governance requirements.

Platform Engineering & MLOps

• Design AI deployment pipelines using CI/CD best practices.
• Implement MLOps and LLMOps frameworks for model lifecycle management.
• Build observability, logging, tracing, and performance monitoring capabilities.
• Optimize model costs and infrastructure utilization.
• Work with Kubernetes, Docker, and cloud-native deployments.

Technical Leadership

• Mentor junior AI engineers and data scientists.
• Establish engineering standards, code quality practices, and reusable AI components.
• Collaborate with architects, product owners, and business stakeholders.

Mandatory Skills

Programming

Python (Expert)

SQL

REST APIs

Git/GitHub

AI & Machine Learning

Machine Learning

Deep Learning

NLP

LLMs

Generative AI

Prompt Engineering

Agentic AI

LangGraph

CrewAI

Semantic Kernel

AutoGen

Multi-Agent Architectures

RAG Technologies

Azure AI Search

Vector Databases

Cloud Platforms

Azure (Preferred)

AWS

GCP

MLOps / LLMOps

MLflow

Azure ML

CI/CD Pipelines

Docker

Kubernetes

Data Platforms

Databricks

Spark

Delta Lake

Data Warehousing Concepts

Preferred Skills

Microsoft Copilot Studio

Enterprise Agent Platforms

Shared Memory Architectures

AI Governance & Compliance

GraphRAG Implementations

Knowledge Graphs

Event-Driven Architectures

API Gateway Integration

OAuth & Security Frameworks

What We Look For in a Candidate

Required Competencies

• Strong problem-solving and analytical skills.
• Ability to independently drive projects.
• Technical mentoring capability.
• Excellent stakeholder communication.
• Architecture and design thinking.
• Business outcome orientation.
• Continuous learning mindset.

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, Engineering, or related field.

Success Criteria

• Deliver production-grade AI solutions with measurable business impact.
• Drive adoption of Generative AI and Agentic AI across business functions.
• Reduce operational effort through intelligent automation.

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.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit:

https://jobs.lumen.com/global/en/privacy-notice

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.