AI Engineer - Halliburton-3

DXC Technology; Dadri; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading technology firm in India is seeking an expert to implement enterprise AI solutions using Large Language Models (LLMs). The ideal candidate will have proven expertise in transformer-based LLMs and experience with Azure Cloud platforms. Responsibilities include designing RAG pipelines and developing generative AI solutions to enhance operational efficiency. The role emphasizes collaboration in a flexible work environment.

Qualifications

• Proven expertise with transformer-based LLMs and applied NLP solutions.
• Hands-on experience with AI orchestration frameworks such as LangChain.
• Strong background in Azure Cloud platforms and AI deployment.

Responsibilities

• Implement enterprise AI solutions using Large Language Models.
• Design and develop RAG pipelines and workflows.
• Build generative AI solutions such as chatbots and virtual assistants.

Skills

Transformer-based LLM expertise

Hands-on experience with AI orchestration frameworks

Deep understanding of RAG and vector search

Strong background in Azure Cloud

Proficiency in API development

Experience with big data platforms

Data cleansing and visualization

Tools

Azure AI Foundry

LangChain

LangGraph

Databricks

Snowflake

Spark

Job description

Job Description

• LLM/NLP experience
• Some APLI experience is a plus
• Langraph, Langchain, experience in a big company dealing with all of the security hurdles we jump through to get stuff done.
• Tools = AI foundry, OpenAI
• LLM experience specifically is using an LLM to set up a RAG pipeline to analyze text. The roadmap for this project will likely be to move as much of the bespoke RAG stuff we've built to AI foundry so it’s easier to sustain.

Key Responsibilities

• Implementation of enterprise AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Mistral, and Claude to solve strategic business challenges.
• Design and develop RAG pipelines and workflows, integrating with APIs, structured/unstructured data sources, and vector embeddings for scalable enterprise applications.
• Development of enterprise NLP and text analysis solutions, including summarization, semantic search, classification, sentiment analysis, and entity extraction.
• Build generative AI solutions such as chatbots, virtual assistants, and intelligent automation tools to enhance operational efficiency and improve customer experience.
• Prototype, build, and maintain scalable API endpoints exposing AI capabilities to internal and external applications across multiple platforms.
• Ensure security, compliance, and governance in AI deployments, including navigating complex enterprise security hurdles and client requirements.
• Partner with cross-functional teams, including engineering, data, and product management, to translate AI capabilities into actionable business solutions.

Required Skills & Experience

• Proven expertise with transformer-based LLMs and applied NLP solutions.
• Hands‑on experience with AI orchestration frameworks such as LangChain, LangGraph, or equivalent.
• Deep understanding of RAG, vector search, embeddings, and knowledge‑grounded AI systems.
• Implement fine‑tuning and prompt engineering strategies.
• Strong background in Azure Cloud platforms including Azure AI Foundry, Azure Machine Learning, Cognitive Search, Azure Data Factory and other related services.
• Proficiency in API development and integration using languages such as Python, Java, C#, JavaScript/Node.js or any other relevant language.
• Experience working with data engineering pipelines, ETL processes and big data platforms such as Databricks, Snowflake, and Spark to support AI/ML workflows.
• Proficiencies in data cleansing, exploratory data analysis, and data visualization.
• Knowledge of enterprise security, compliance, and governance frameworks relevant to large‑scale clients and regulated industries.

Nice‑to‑Have

• Experience fine‑tuning LLMs for domain‑specific applications.
• Exposure to chatbot frameworks and conversational AI platforms.
• Prior involvement in large‑scale enterprise AI deployments with strict compliance and security requirements.
• Familiar with MLOps practices, model monitoring, and deployment pipelines for enterprise‑scale applications.
• Azure AI Engineer Associate certification (or willingness to obtain).

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in‑person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.