LEAD AI ENGINEER CONSULTANT-INDIA

Lumen Technologies; India; Remote; INR 3,600,000 - 7,200,000; Full time

Job summary

Lumen Technologies is seeking a Lead AI Engineer Consultant to drive enterprise-scale analytics, Generative AI, and Agentic AI initiatives. You will own solution architecture, mentor senior data scientists, and partner with leadership to translate business priorities into scalable AI solutions.

You will set technical standards, evaluate GenAI technologies, and ensure responsible, scalable AI adoption across the organization, working with clients and internal teams.

Qualifications

• Proven experience in Python and SQL for analytics and modeling.
• Strong command of ML techniques including regression, classification, clustering, evaluation.
• Hands-on data wrangling and feature engineering.

Responsibilities

• Lead design and delivery of complex AI/GenAI solutions from problem framing through production deployment.
• Act as technical authority and advisor for clients and senior stakeholders on AI strategy.
• Drive governance, standards, and best practices for ML and GenAI development.

Skills

Python

SQL

Data Science

Machine Learning

Tools

LangChain

LangGraph

FAISS

Pinecone

Azure OpenAI

OpenAI API

Job description

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
• 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

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
• 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