Lead AI Engineer Consultant-India

Location: 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 As a Lead AI Engineer Consultant, you will play a technical and strategic leadership role in driving enterprise‑scale analytics, Generative AI, and Agentic AI initiatives across business units and industries. You will own solution architecture, influence AI strategy, mentor senior data scientists, and partner with leadership to translate business priorities into scalable AI solutions. This role requires deep hands‑on expertise, strong architectural judgment, and the ability to operate as a trusted advisor to clients and internal stakeholders. You are expected to set technical standards, evaluate emerging GenAI technologies, and ensure responsible, scalable adoption of AI across the organization. The Main Responsibilities Key Responsibilities Lead the design and delivery of complex AI/GenAI solutions from problem framing through production deployment Own end‑to‑end solution architecture for LLM‑powered, RAG‑based, and Agentic AI systems Act as a technical authority and advisor for clients and senior stakeholders on AI strategy and feasibility Drive best practices, standards, and governance for ML and GenAI development Mentor and review work of senior data scientists and consultants, raising overall team capability Collaborate with product, engineering, security, and compliance teams to ensure scalable and responsible AI adoption Evaluate and recommend emerging tools, frameworks, and architectures in the GenAI ecosystem Cloud & Production AI Proven experience architecting and deploying AI solutions on AWS, Azure, or GCP Strong understanding of scalable data workflows, APIs, and cloud‑native architectures Ability to balance performance, cost, security, and maintainability in production systems Generative AI & Agentic AI (Advanced) Hands‑on leadership experience with Generative AI and Large Language Models, including: Advanced prompt engineering and orchestration strategies Fine‑tuning, deployment, and lifecycle management using OpenAI, Azure OpenAI, Hugging Face APIs Strong understanding of AI ethics, governance, and responsible GenAI design Deep expertise in GenAI architectures and frameworks, including: LangChain for complex LLM‑powered workflows LangGraph for designing and managing Agentic AI systems Advanced RAG architectures (Hierarchical RAG, Multimodal RAG, Agentic RAG) Vector databases such as FAISS, Pinecone, or Azure AI Search Multimodal AI solutions combining text, image, and/or audio inputs Ability to make architectural decisions around memory, tool use, agent coordination, and evaluation in multi‑agent systems Communication & Leadership Excellent executive‑level communication skills—able to explain complex AI concepts to non‑technical audiences Strong documentation, presentation, and client‑engagement skills Proven ability to influence without authority and drive alignment across teams What We Look For in a Candidate Mandatory Skills Core Data Science & ML Expert‑level proficiency in Python and SQL for analytics, modeling, and solution development Strong command of machine learning techniques, including regression, classification, clustering, model evaluation, and trade‑off analysis Advanced experience in data wrangling, feature engineering, and transformation using Pandas, NumPy, and related libraries Ability to design insight‑driven visualizations and executive dashboards using Power BI or Tableau Deep understanding of statistical analysis, hypothesis testing, experimentation, and model interpretability Nice‑to‑Have Skills Strong experience with big‑data platforms such as Apache Spark, Hadoop, or Databricks Advanced MLOps and LLMOps experience, including CI/CD, monitoring, observability, and model governance Domain leadership in industries such as BFSI, Healthcare, Retail, or Telecom Hands‑on exposure to advanced AI specializations: Natural Language Processing (spaCy, NLTK) Computer Vision (OpenCV, YOLO) Relevant senior‑level certifications in Cloud, AI, or Machine Learning (AWS, Azure, or equivalent) 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