AI Engineer - Finance

Bechtel Corporation•Washington, DC

5d•$106,900 - $178,500•Hybrid

About The Position

Bechtel is seeking an AI Engineer to join its Finance Transformation and AI team. The role focuses on designing, building, and deploying production-grade AI and automation solutions to modernize finance processes and improve decision-making. The engineer will develop scalable, reusable solutions integrated into enterprise workflows across Financial Planning & Analysis (FP&A), Treasury, Tax, and Controllers, working with finance stakeholders, data engineers, and technology teams to turn business needs into practical AI applications, including machine learning, generative AI, and workflow automation. The role calls for a hands-on builder and strong collaborator who can work independently, engage cross-functional teams, and explain technical concepts clearly to business stakeholders. The position supports development of durable internal capability by taking work from insight through production deployment and measurable business impact. The position is designated as part-time telework under Bechtel’s global telework policy, requiring at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules are set by the employee and supervisor in consultation with functional or project leadership.

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 these fields.
Hands-on experience building and deploying AI/ML, analytics, or data solutions using Python, SQL, and cloud/data platforms in a business environment.
Experience working with finance processes and data, such as FP&A, forecasting, general ledger, variance analysis, and financial KPIs.
Familiarity with cloud platforms such as Azure, AWS, or GCP; data pipelines; orchestration or agent frameworks such as 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 and ability to connect technical work to business value and measurable outcomes.
Excellent communication and collaboration skills, including explaining technical concepts to non-technical stakeholders.
Self-starter mindset, with ability to work independently while contributing to a collaborative team environment.

Responsibilities

Design, build, and deploy production-grade AI, machine learning, and automation solutions supporting Finance Transformation across FP&A, Treasury, Tax, and Controllers.
Translate finance business problems into scalable, reusable solutions 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 with finance stakeholders, subject-matter experts, data engineers, and IT to shape solutions, validate outputs, and drive adoption in real workflows.
Support deployment, monitoring, testing, and documentation to ensure solutions are production-ready and comply with governance and responsible AI standards.
Contribute reusable engineering patterns, tools, and standards to accelerate delivery across Finance AI use cases.