AI Engineer - Halliburton-3 at DXC Technology

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Oil & GasIndustries

Requirements

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
LLM/NLP experience; some API experience is a plus
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)

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

Skills

Key technologies and capabilities for this role

LLMNLPLangChainLangGraphRAGGPTLLaMAMistralClaudevector embeddingsprompt engineeringfine-tuningAzureAPIAI FoundryOpenAI

Questions & Answers

Common questions about this position

What skills are required for the AI Engineer position?

Required skills include proven expertise with transformer-based LLMs and applied NLP solutions, hands-on experience with AI orchestration frameworks such as LangChain and LangGraph, deep understanding of RAG, vector search, and embeddings, strong background in Azure Cloud platforms, and proficiency in API development using languages like Python, Java, C#, or JavaScript.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team structure look like for this role?

The role involves partnering with cross-functional teams, including engineering, data, and product management, to translate AI capabilities into actionable business solutions.

What makes a strong candidate for this AI Engineer role?

A strong candidate has proven expertise in LLMs, NLP, RAG pipelines, Azure Cloud platforms, and enterprise security, with nice-to-haves like LLM fine-tuning experience, chatbot frameworks, and Azure AI Engineer Associate certification.

DXC Technology

IT services for enterprise modernization and management

About DXC Technology

DXC Technology provides IT services to large enterprises, focusing on modernizing their critical systems and operations. The company uses the Enterprise Technology Stack to enhance IT infrastructure, optimize data architectures, and ensure security across various cloud environments, including public, private, and hybrid. DXC operates on a contractual basis, offering consulting, system integration, and managed services to help clients improve their IT operations. What sets DXC apart from competitors is its strong commitment to innovation, sustainability, and corporate responsibility, which has earned it recognition as one of the Most Responsible Companies. The goal of DXC Technology is to be a trusted partner for enterprises, helping them achieve scalable and secure IT solutions while promoting inclusion and diversity within its workforce.

McLean, VirginiaHeadquarters

2017Year Founded

$14.6MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

10,001+Employees

Risks

Emerging IT service providers offer cost-effective solutions, threatening DXC's market share.

Rapid technological changes may outpace DXC's innovation, risking service obsolescence.

Economic downturns could reduce IT spending, impacting DXC's long-term contract revenue.

Differentiation

DXC Technology is a Fortune 500 global IT services leader.

The company specializes in modernizing mission-critical systems for large enterprises.

DXC's Enterprise Technology Stack ensures security and scalability across cloud environments.

Upsides

DXC is recognized as a leader in the 2024 Magic Quadrant for Outsourced Digital Workplace Services.

The Quercus AI platform collaboration with Ferrovial and Microsoft enhances DXC's innovation capabilities.

DXC's role in transforming Italy's healthcare sector showcases its expertise in digital transformation.

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