Forward Deployed Engineer - AI & Supply Chain jobs in United States
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Bechtel Corporation · 18 hours ago

Forward Deployed Engineer - AI & Supply Chain

Bechtel Corporation is a global leader in project management and construction. The Forward Deployed Engineer (FDE) operates at the intersection of advanced data engineering and real-world business execution, working closely with operational teams to improve efficiency and throughput through data-driven solutions.

ArchitectureConstructionProject Management
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Designs and implements end-to-end data products that connect disparate systems (ERP, MES, CRM, ticketing tools, IoT/telemetry, logistics platforms, and third-party APIs) into governed, trusted datasets and real-time event streams
Builds scalable pipelines using modern data stack patterns (batch + streaming), applying strong engineering practices (testing, CI/CD, observability, performance tuning), and modeling business entities in a way that enables reliable analytics and operational applications. Where appropriate, layers decision support and intelligent workflows on top—such as anomaly detection, recommendations, or AI-assisted triage—always grounded in security, auditability, and business outcomes
Writes production code, whiteboards with business owners at all levels of the company, runs discovery sessions, defines measurable success metrics, prototypes quickly, hardens solutions into durable systems with documentation and enablement so teams can sustain and extend what is built
Manages trade-offs across time, scope, and complexity, prioritizing pragmatic delivery while still building the right foundations for scale
Embeds with business teams to identify operational pain points, define success metrics, and prioritize use cases
Designs and builds scalable batch and streaming pipelines (ingestion → transformation → modeling → serving)
Implements real-time/event-driven architectures using streaming tools (e.g., Kafka/Event Hubs/Kinesis) with SLAs
Creates strong data models / semantic layers representing core business entities and workflows (orders, assets, shipments, etc.)
Delivers operational applications and decision workflows (dashboards, workflows, write-backs, audits) that drive action
Ensures reliability and governance: testing, lineage, access controls, data quality checks, monitoring, and incident response
Collaborates with security/compliance/IT to meet enterprise requirements for privacy, auditability, and controls
Documents solutions and enables users/engineers through playbooks, training, and repeatable patterns

Qualification

PythonSQLStreaming data solutionsCloud data ecosystemsData modelingCI/CDData integrationProduction supportEngineering disciplineCommunication skillsProblem-solving mindsetCollaboration skills

Required

Bachelor's degree in CS/Engineering/STEM (or equivalent practical experience) plus at least 5 years in software engineering, data engineering, or platform engineering delivering production systems
Strong coding ability in Python and SQL; experience with Spark/PySpark or equivalent distributed processing
Proven experience building streaming and near-real-time data solutions (Kafka/Event Hubs/Kinesis or similar)
Experience integrating data from APIs, databases, files, and operational systems; handling messy/heterogeneous data
Solid understanding of data modeling, schema evolution, incremental processing, and performance optimization
Experience with cloud data ecosystems (Azure/AWS/GCP) and modern storage/compute patterns (lakehouse/warehouse)
Strong engineering discipline: version control, testing, CI/CD, observability/monitoring, and production support
Experience delivering solutions on Palantir Foundry or similar enterprise data platforms (e.g., Databricks, Snowflake), including production pipelines, governance, and operational applications
Familiarity with Foundry Ontology and/or operational application patterns (semantic modeling, object-centric workflows, write-backs, access controls) and willingness to ramp quickly in Foundry

Preferred

Experience with platforms including Palantir Foundry, Databricks, Snowflake, or comparable enterprise data platforms
Orchestration tools (Airflow, ADF, Prefect) and data quality frameworks
Exposure to AI-enabled operational workflows (RAG/LLM apps, recommendations, anomaly detection) in governed settings
Prior customer-facing/embedded role (solutions engineering, consulting, or forward-deployed delivery) and willingness to travel

Benefits

Robust benefits to ensure our people thrive
Advancing careers
Delivering programs to enhance our culture
Providing time to recharge

Company

Bechtel Corporation

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Bechtel is a construction company that offers engineering, construction, and project management solutions to its customers.

H1B Sponsorship

Bechtel Corporation has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (30)
2023 (33)
2022 (40)
2021 (16)

Funding

Current Stage
Late Stage
Total Funding
$499.38M
Key Investors
U.K. Export Finance
2021-10-18Debt Financing· $499.38M

Leadership Team

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Brendan Bechtel
Chairman and CEO
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Company data provided by crunchbase