Senior Data Scientist / AI Engineer

Bechtel Corporation; Reston (VA); Presencial; USD 123 000 - 179 000; Tempo parcial

Resumo da oferta

Bechtel Corporation in Reston, VA is seeking a Senior Data Scientist for the AI Delivery Team. You will lead end-to-end AI/ML initiatives, architect scalable data and ML systems, and own deployment, MLOps, and responsible AI to meet enterprise standards.

You will mentor data scientists, manage stakeholders, and drive cross-functional collaboration to deliver measurable improvements in EPC schedule, cost, and planning on a global portfolio.

Qualificações

• Requires bachelor's degree with 8–10 years of relevant experience or 12–14 years.
• Expertise across ML techniques including NLP, CV, and deep learning.
• Proven end-to-end delivery of production-grade models in enterprise.
• Hands-on with cloud platforms (Azure) and big-data processing (Databricks, Kafka).
• Strong MLOps: CI/CD, Docker/Kubernetes, monitoring performance.
• Experience with LLMs and AI ethics, privacy, and Enterprise security.

Responsabilidades

• Lead end-to-end AI/ML solutions from data pipelines to production.
• Define architecture and guide scalable data/ML systems.
• Champion generative AI and retrieval methods with practical value.
• Own deployment, CI/CD, observability, and cost monitoring.
• Design systems for unstructured data with governance and reproducibility.
• Drive cross-functional discovery and synthesize insights for EPC planning.
• Ensure security and compliance with Bechtel standards.
• Set success metrics and run experiments to show business impact.
• Lead delivery team and coordinate between data scientists, engineers.
• Maintain stakeholder alignment and regular leadership briefings.
• Coach team and standardize patterns and review practices.
• Stay at the forefront of AI advances and bring jobsite-ready solutions.

Conhecimentos

Python programming

MLOps

Cloud platforms (Azure)

LLMs / Generative AI

Data engineering

Communication skills

Formação académica

Bachelor's degree

Ferramentas

TensorFlow/PyTorch

Databricks

Kafka

Docker/Kubernetes

Descrição da oferta de emprego

• Relocation Authorized: National - Family

• Telework Type: Part-Time Telework

• Work Location: Reston, VA

• Salary Range: $123,400 - $178,500 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, 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 runs through EPC Transformation: embedding AI, robotics, and digital tools into live project environments and scaling them across our global portfolio.As a Senior Data Scientist on the AI Delivery Team, you will lead the design and delivery of end-to-end AI and machine learning solutions that span programs and products — setting technical direction for complex initiatives, architecting scalable data and ML systems, and owning deployment, MLOps, and Responsible AI so models meet enterprise standards for performance, security, governance, and cost. Combining a century of Bechtel data and proven processes with some of the most powerful technologies our industry has ever seen, you will turn cross-functional ambiguity into decision-grade outcomes that improve EPC schedule, cost, and planning — productivity gains felt on real projects and on the jobsite. Beyond the technical work, you will lead and support the full delivery team, manage project stakeholders, and keep leadership informed through clear, regular updates, while mentoring data scientists and raising the bar for technical quality.

This role requires working in person at least three days per week at our Reston, VA or Houston, TX office. #LI-TN1

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Who You Are

• You want to take on Bechtel's most complex EPC challenges, applying AI at enterprise scale to work that shapes skylines, power grids, and communities around the world.

• You are an advanced contributor who sets technical direction, handles ambiguous, diverse-scope problems creatively, and raises the bar for quality and delivery.

• You are deeply engaged in emerging technologies: generative AI, deep learning, agentic and retrieval-based systems — and you advance solutions pragmatically, where they create the most value.

• You translate cross-functional ambiguity into decision-grade outcomes, communicating trade-offs and risks clearly to senior stakeholders and SMEs.

• You mentor and coach other data scientists, champion Responsible AI, and help shape the future of data science at Bechtel, building on a century of data and proven processes to move the company and the industry forward.

Major Responsibilities:

• Lead the design and delivery of end-to-end AI/ML solutions for complex, crossfunctional problems — from big-data pipelines to production model integration —interfacing directly with stakeholders, SMEs, and product teams to ensure alignment and measurable impact.

• Set technical direction and guide solution architecture for scalable data and ML systems; advise on algorithm selection, feature engineering, and statistical rigor.

• Champion cutting-edge AI methods, including generative AI, retrieval, and reinforcement learning, and apply them pragmatically to deliver robust, scalable, Responsible-AI-aligned solutions.

• Own deployment, CI/CD, observability, and optimization; implement monitoring for performance, drift, safety, privacy, and cost with actionable SLOs and alerts.

• Design and operate systems that consolidate unstructured data at scale, ensuring data quality, lineage, governance, and reproducibility across the lifecycle.

• Drive cross-functional discovery of high-value opportunities and synthesize insights into strategic recommendations, including EPC schedule, cost, and planning where applicable.Institutionalize Responsible AI controls (fairness, explainability, privacy) and coordinate with Security, Legal, and Compliance to meet enterprise standards.

• Ensure the security of agentic and AI solutions, staying current on emerging threats,risks, and mitigations; verifying solutions comply with Bechtel’s rigorous security standards; and contributing to the development and evolution of those standards.

• Define success metrics tied to business outcomes, run rigorous experiments, and communicate trade-offs and decisions to senior stakeholders.

• Lead and support the full delivery team building the solution, providing technical direction, unblocking the team, and coordinating work across data scientists, data engineers, and software partners.

• Own stakeholder management for the initiative, aligning expectations, surfacing risks and trade-offs early, and writing regular status updates and briefings for leadership.

• Coach and upskill the team, standardizing patterns, templates, and review practices, and performing design and model reviews to raise technical quality.

• Stay at the forefront of advances in AI, ML, and deep learning, bringing innovative, jobsite-ready solutions to the organization.

Education and Experience Requirements:

Requires bachelor's degree (or international equivalent) and 8-10 years of relevant experience or 12-14 years of relevant work experience

Required Knowledge and Skills:

• Deep, hands-on expertise across a range of machine learning and advanced statistical techniques, including NLP, computer vision, and deep learning.

• Strong Python programming with advanced proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, or scikit-learn).

• Proven end-to-end delivery of production-grade models and pipelines in an enterprise environment with large-scale AI deployments.

• Hands-on experience with cloud platforms (particularly Azure AI/ML) and big-data processing (Databricks, Azure Data Factory, or Kafka).

• Strong MLOps practice: CI/CD for model deployment, containerization (Docker, Kubernetes), versioning, and monitoring performance, drift, and cost.

• Solid data engineering foundation — ETL pipelines and SQL/NoSQL databases — with the ability to own data preparation, feature engineering, and validation at scale.

• Experience with LLMs and generative AI, and a working command of data privacy, security, and AI ethics in enterprise applications.

• Excellent analytical, problem-solving, and communication skills, with a track record of translating complex AI work into measurable business outcomes.

• Able to present a documented, end-to-end data-science solution you developed or co-developed.

Preferred

• Strong Python programming with advanced proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, or scikit-learn).

• Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning).

• Experience with streaming data from IoT devices and sensors, and ML applications in asset performance management and digital twins.

• Experience mentoring data scientists and leading design and model reviews.

• Familiarity with knowledge graphs, agent-based AI systems, and predictive analytics applied to EPC project execution.

Hands On Experience

Hands-on experience with the following:

• Machine learning or AI systems running in production and serving real users.

• Microsoft Foundry, formerly Azure AI Foundry, and the Azure AI platform.

• Building and operating data and machine learning workloads on Databricks.

• The deployment and operation of machine learning systems.

• Building and operating generative AI agents on Databricks.

• Guiding the technical work of other data scientists or engineers.

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, Becht