AI Engineer, Corporate Planning

Bechtel•Washington, DC

1d•$140,800 - $203,700•Hybrid

About The Position

We are seeking an AI Engineer to help transform how Corporate Planning, Financial Planning and Analysis (FP&A), and Corporate Strategy leverage data, technology, and artificial intelligence to support business decisions, automate complex workflows, and generate actionable insights. This role will identify, design, and deploy AI-powered solutions, partnering with FP&A, Corporate Strategy, and technology teams to modernize decision making, forecasting, reporting, research, and operational processes.This position 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.

Requirements

Requires bachelor's degree (or international equivalent) in Computer Science, Data Science, Software Engineering, Applied Mathematics, Statistics, Finance, Economics, or related field and 10-13 years of relevant experience, or 14-17 years of relevant work experience in lieu of a degree.
Experience building and deploying AI-powered solutions, including copilots, intelligent assistants, retrieval-augmented generation (RAG) applications, AI agents, workflow automation, and document intelligence solutions.
Experience with cloud platforms (Azure, AWS, or GCP) data pipelines, and model deployment in production.
Deep understanding of employing AI models to rapidly identify and develop strategic insights from a range of sources (e.g. public datasets, internal information, public news sources).
Understanding of large language models (LLMs), prompt engineering, vector search, embeddings, semantic retrieval, and modern AI application architectures.
Experience integrating applications with enterprise data platforms, APIs, databases, cloud services, and business systems.

Nice To Haves

Master's degree is preferred.
Programming skills in Python and SQL; experience with R, Spark, or Scala is a plus.
Experience applying AI and analytics within finance, corporate strategy, planning, treasury, risk management, or other business functions.
Experience with MS Power Automate, Snowflake, Databricks, Azure, Power BI, Microsoft Copilot, or other Enterprise AI and analytics platforms.
Knowledge of finance systems (e.g., ERP), agent frameworks, orchestration platforms, workflow automation tools, and modern AI development frameworks.
Demonstrated curiosity and passion for emerging AI technologies, with a track record of continuously learning and applying new capabilities to business challenges.
Proven success in leading complex projects from concept to deployment in a matrixed organization.

Responsibilities

Identify, prioritize, and lead AI and automation initiatives across Corporate Planning, FP&A, and Corporate Strategy, partnering with business stakeholders to deliver measurable improvements in productivity, insight generation, and decision-making.
Design, build, deploy, and continuously improve AI-powered applications, agents, copilots, and workflow automations supporting planning, forecasting, reporting, research, and strategic analysis.
Design and deploy AI-powered tools that automate strategic research, data extraction, summarization, recurring analysis, and reporting, enabling faster identification of actionable business insights.
Create systems for continuous monitoring of strategic signals, including market shifts, policy changes, competitor moves, and geopolitical developments, and use AI to identity actionable insights.
Develop retrieval-augmented generation (RAG) solutions that leverage enterprise knowledge, financial data, planning information, and external market intelligence.
Partner with data engineering and technology teams to connect AI solutions to enterprise planning systems, financial applications, and structured and unstructured data sources.
Design scalable architectures that enable secure and governed access to enterprise information.
Partner with business and technical teams to promote AI adoption, share best practices, and support the development of AI capabilities across the organization.
Rapidly prototype and deploy solutions that improve productivity, decision quality, and organizational insight generation.
Evaluate emerging technologies and recommend solutions aligned with business priorities.