Requisition ID: 291555

Relocation Authorized: None
Telework Type: Full-Time Office/Project
Work Location: Gurugram

Extraordinary Teams Building Inspiring Projects

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.

Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report.

Bechtel's India offices support the execution of projects and services around the world. Working seamlessly with Bechtel's global business units, project sites, customers, and suppliers, our teams have delivered more than 125 projects since 1994. With offices in Gurgaon, Vadodara, and Chennai there are exciting career opportunities for candidates who are passionate about delivering projects that make a lasting, meaningful difference for people and communities around the world.

Job Summary

We are seeking an AI specialist primarily as Data Scientist & Data Engineer with hands‑on experience in Azure OpenAI Studio, Databricks, and modern data/AI engineering practices. The ideal candidate will work at the intersection of data engineering, machine learning, and applied generative AI, driving end‑to‑end solutions from data ingestion to model deployment for unique challenges and opportunities within the engineering, procurement and construction (EPC) sector.

In this role, you may be required to travel to other corporate or project offices.

Major Responsibilities

Identify AI Opportunities: Work closely with different departments to identify potential AI use cases that can solve business problems and create value.
Use Case Development: Develop detailed AI use cases, including problem statements, objectives, expected outcomes, and success metrics.
Feasibility Analysis: Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases.
Solution Design:

Develop and maintain data ingestion workflows from varied sources (APIs, databases, file systems).
Implement data quality checks, validation, and monitoring frameworks
Translate business problems into technical solutions leveraging Azure and Databricks ecosystems.
Design secure, scalable architectures for data storage, processing, and model deployment.
Integrate AI/ML workloads with enterprise applications using APIs, orchestrators, and Azure services (Functions, Logic Apps, Synapse, etc.).
Fine-tune and deploy Azure OpenAI models (GPT, embeddings, assistants, and custom models).
Build prompt engineering frameworks and evaluation strategies for LLM-based applications.
Develop production-grade ML systems using MLflow, Databricks Model Registry, or Azure ML.

Documentation: Maintain comprehensive documentation of AI use cases, including requirements, design, implementation, and performance metrics.
Continuous Improvement: Stay up-to-date with the latest advancements in AI and continuously seek opportunities to improve existing AI solutions and processes.

Education And Experience Requirements

Education: Bachelor's degree in computer science, AI, Classic Machine Learning models, Data Science, or a related field. Master's degree preferred.
Experience: 4+ years of experience in AI/machine learning, preferably within the engineering and construction (EPC) industry or a related field.
Experience in data science, data engineering, or ML engineering.
Proven experience building production-grade ML/AI systems.
Prior exposure to LLMs, foundation models, or generative AI solutions
Experience with Vector databases (Pinecone, Weaviate, Azure AI Search).
Experience with RAG, LLMOps, or LLM application frameworks (LangChain, Semantic Kernel).
Understanding of security, governance, and compliance for AI workloads

Required Knowledge And Skills

Strong understanding of LLM concepts (RAG, grounding, evaluation, hallucination mitigation)
Hands-on expertise with Azure OpenAI Studio (prompting, fine-tuning, deployments)
Experience with MLflow, MLOps, CI/CD pipelines.

Solid understanding of data modeling, distributed systems, and cloud-native architectures.

Total Rewards/Benefits

For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at bechtel.com/total-rewards.

Diverse Teams Build The Extraordinary

As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

We are committed to being a company where every colleague feels that they belong-where colleagues feel part of One Team, respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to [HIDDEN TEXT]

AI Specialist (ML & LLM)