AI Engineer - Finance

About the role

We are seeking an AI Engineer – Finance to join the Finance Transformation and AI team, focused on designing, building, and deploying production-grade AI and automation solutions that modernize finance processes and improve decision-making.

Responsibilities

• Design, build, and deploy production-grade AI, machine learning, and automation solutions that support Finance Transformation across FP&A, Treasury, Tax, and Controllers
• Translate finance business problems into scalable, reusable solutions—not one-off analyses—that improve forecasting, planning, reporting, and decision-making
• Develop and integrate data pipelines, models, and AI-enabled applications, including generative AI, agents, and automation workflows, using enterprise finance data
• Partner closely with finance stakeholders, SMEs, data engineers, and IT to shape solutions, validate outputs, and drive adoption into real workflows
• Ensure solutions are production-ready by supporting deployment, monitoring, testing, documentation, and compliance with governance and responsible AI standards
• Contribute to reusable engineering patterns, tools, and standards that accelerate delivery across Finance AI use cases

Requirements

• Bachelor's degree or higher in Computer Science, Data Science, Engineering, Applied Mathematics, Finance, or a related field, with 2–3 years of relevant experience; or a master’s degree in one of the above fields
• Hands-on experience building and deploying AI/ML, analytics, or data solutions using Python, SQL, and cloud/data platforms in a business environment
• Familiarity with cloud platforms (e.g., Azure, AWS, or GCP), data pipelines, orchestration/agent frameworks (e.g., LangChain), vector databases, APIs, and modern deployment practices, including MLOps, CI/CD, and monitoring
• Exposure to generative AI, LLMs, RAG, or AI-driven workflow automation
• Strong problem-solving skills with the ability to connect technical work to business value and measurable outcomes
• Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders
• Self-starter mindset with the ability to work independently while contributing to a collaborative team environment

Qualifications

• Experience working with finance processes and data, such as FP&A, forecasting, general ledger, variance analysis, and financial KPIs

Skills

• Python
• SQL
• Cloud platforms (e.g., Azure, AWS, or GCP)
• Data pipelines
• Orchestration/agent frameworks (e.g., LangChain)
• Vector databases
• APIs
• MLOps
• CI/CD
• Monitoring
• Generative AI, LLMs, RAG, or AI-driven workflow automation

Benefits

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

Pay

Bechtel is 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.

Schedule

This role is designated as part-time telework per our global telework policy and will require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership.