Data Scientist / AI Engineer

Bechtel Corporation; Reston (VA); Hybrid; USD 85,000 - 122,000; Full time

Job summary

Bechtel Corporation in Reston, VA is seeking a Data Scientist to join the AI Delivery Team. You will design, develop, and deploy AI solutions that automate reporting, accelerate schedule development, and give project teams earlier visibility into issues.

Collaborating with data engineers, software teams, and SMEs, you will productionize models for enterprise scale on Azure ML and Databricks, while meeting Bechtel's security and governance standards.

Qualifications

• Strong Python and AI/ML library skills for production models.
• Experience with Generative AI frameworks (LangChain, LangGraph) and prompt engineering.
• Solid statistics, experimental design, and model evaluation.
• Knowledge of SQL/NoSQL data stores and data preparation.
• Experience with cloud platforms (Azure, Databricks).
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated initiative through internships or projects.

Responsibilities

• Build, validate, and deploy AI/ML models for defined use cases.
• Prepare data pipelines: profiling, cleansing, integration.
• Develop GenAI and ML models and productionize prototypes.
• Deploy models on Azure ML and Databricks within Bechtel's ecosystem.
• Monitor and improve models to sustain business impact.
• Ensure security, compliance, and governance.
• Communicate findings to both technical and non-technical stakeholders.
• Stay current with emerging AI trends and iterate.

Skills

Python

AI/ML libraries

LangChain

LangGraph

Prompt engineering

Statistics

Model evaluation

SQL/NoSQL

Cloud platforms

Communication

Education

University Hire

Tools

LangChain

LangGraph

Azure ML

Databricks

Job description

• Relocation Authorized: National - Family
• Telework Type: Part-Time Telework
• Work Location: Reston, VA
• Salary Range: $84,600 - $122,400 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)

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.

Job Summary

For more than a century — since our first project in 1898 — Bechtel has paired the best available tools with deep expertise to take on the world's greatest engineering, procurement, and construction (EPC) challenges. Today that throughline continues through EPC Transformation: embedding AI, robotics, and digital tools into live project environments and scaling them across our global portfolio.

As a Data Scientist on the AI Delivery Team, you will help design, develop, and deploy AI solutions that bring this transformation to life — automating reporting, accelerating schedule development, and giving project teams earlier visibility into issues before rework becomes necessary. You will combine a century of Bechtel data and proven processes with some of the most powerful technologies our industry has ever seen, and apply them at enterprise scale. Partnering with data engineers, software teams, and subject matter experts, you will deliver reliable, production-ready AI systems whose productivity gains are felt on real projects and on the jobsite.

Major Responsibilities

• Build, validate, and help deploy AI/ML models for well-defined use cases, working alongside senior data scientists to refine success metrics with stakeholders.
• Support scalable data preparation: profiling, cleansing, integration, and feature engineering, partnering with data engineers to build reliable data pipelines.
• Develop and deploy GenAI and ML models using modern AI frameworks, transforming prototypes into scalable, production-ready solutions.
• Assist in deploying models on Azure ML and Databricks, integrating into Bechtel's digital ecosystem under guidance and following established best practices.
• Contribute to monitoring, evaluating, and improving deployed models to sustain measurable business impact over time.
• Help ensure solutions meet Bechtel's security, compliance, and governance requirements.
• Communicate technical concepts and findings clearly to both teammates and non-technical stakeholders.
• Stay current with emerging AI including agentic systems and multimodal models, and rapidly iterate ideas into working solutions.

Education And Experience Requirements

Requires a University Hire with 1-2 years of experience or 5-6 years of relevant work experience.

Required Knowledge And Skills

• Strong programming foundation in Python and core AI/ML libraries, supporting development of scalable and production-ready models.
• Hands-on experience with Generative AI frameworks, including LangChain and LangGraph, along with prompt engineering and optimization techniques.
• Solid grounding in statistics, experimental design, and rigorous model evaluation.
• Strong fundamentals in machine learning methods and in data structures and algorithms.
• Experience with data preparation, feature engineering, and SQL/NoSQL data stores.
• Exposure to cloud platforms (Azure, Databricks) through coursework, internships, or projects.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate technical work into clear, actionable outcomes.
• Demonstrated initiative and impact: internships, research, open-source contributions, competitions (e.g., Kaggle), or substantial academic/personal projects.

Preferred

• Exposure to MLOps practices: Git version control, CI/CD, and model monitoring.
• Hands-on experience taking a model from prototype to a working or deployed application.
• Familiarity with knowledge graphs, agent-based AI systems, or predictive analytics.
• Project or internship experience in an enterprise or large-scale data environment.

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 Total Rewards.

At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components.

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.

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 email their request to [e-mail].