SR AI Engineer Consultant I-INDIA

About Lumen Technologies

Lumen Technologies is a global technology company that delivers innovative communication and network solutions. Our mission is to empower businesses and individuals to connect, grow, and thrive in the digital age. With a focus on customer experience and operational excellence, we strive to provide cutting-edge solutions that meet the evolving needs of our customers.

Job Details: 13709

Location:Bengaluru

Work Mode:Hybrid(WFO 1 day per week OR 4 days per month)

Mandatory Skills

Machine Learning, Artificial Intelligence, Natural Language Processing, Python, SQL, Generative AI, Agentic AI, ML

Mandatory Technical Keywords
Machine Learning, Artificial Intelligence, Generative AI, Agentic AI, Large Language Models, RAG, Python, SQL, NLP, ML Architecture

Job Description

Department: Data Science / AI Center of Excellence
Experience: 814 years

Job Summary

• As a Senior AI Engineer, you will play a technical and strategic leadership role in driving enterprisescale 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 handson 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.

Key Responsibilities

• Lead the design and delivery of complex AI/GenAI solutions from problem framing through production deployment
• Own endtoend solution architecture for LLMpowered, RAGbased, 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

Mandatory Skills

• Core Data Science & ML Expertlevel proficiency in Python and SQL for analytics, modeling, and solution development
• Strong command of machine learning techniques, including regression, classification, clustering, model evaluation, and tradeoff analysis
• Advanced experience in data wrangling, feature engineering, and transformation using Pandas, NumPy, and related libraries
• Ability to design insightdriven visualizations and executive dashboards using Power BI or Tableau
• Deep understanding of statistical analysis, hypothesis testing, experimentation, and model interpretability

Cloud & Production AI

Proven experience architecting and deploying AI solutions on AWS, Azure, or GCP
Strong understanding of scalable data workflows, APIs, and cloudnative architectures
Ability to balance performance, cost, security, and maintainability in production systems

Generative AI & Agentic AI (Advanced)

• Handson leadership experience with Generative AI and Large Language Models, including:
• Advanced prompt engineering and orchestration strategies
• Finetuning, 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 LLMpowered 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 multiagent systems

Communication & Leadership

• Excellent executivelevel communication skillsable to explain complex AI concepts to nontechnical audiences
• Strong documentation, presentation, and clientengagement skills
  Proven ability to influence without authority and drive alignment across teams

NicetoHave Skills

• Strong experience with bigdata 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
• Handson exposure to advanced AI specializations:
• Natural Language Processing (spaCy, NLTK)
• Computer Vision (OpenCV, YOLO)
• Relevant seniorlevel certifications in Cloud, AI, or Machine Learning (AWS, Azure, or equivalent)

"We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately."