LEAD AI ENGINEER CONSULTANT-INDIA (HOME, IN, 560094)

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

Originally posted on Himalayas