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Added 2 days ago
Forward Deployed Engineer
Bausch + Lomb
Bridgewater, NJ
Bausch + Lomb is seeking a Forward Deployed Engineer (FDE) to turn AI from pilots into scalable production capabilities across the enterprise. This is a hands-on builder role embedded…
Added 2 days ago
MC
Applied Forward Deployed Engineer (Post-Sales)
Monte Carlo
Remote, United States
- $140,000 to $180,000 USD / year
We're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll…
Added 2 days ago
Senior Data Engineer (Databricks) - Contractor - US
Object Edge
Remote, United States
Object Edge is an AI-native, forward-deployed engineering firm. It builds Hive, a company brain for revenue, embeds engineers to build agentic workflows on it, and provides management…
Added 2 days ago
Head of Forward Deployed Engineering
Bausch + Lomb
Sacramento, CA
Bausch + Lomb is seeking a Head of Forward Deployed Engineer (FDE) to turn AI from pilots into production capability across B+L. This is a hands-on builder role embedded in manufacturing,…
Added 3 days ago
S
Staff Forward Deployed Engineer, Applied AI
Snowflake
Menlo Park, CA
- $200,000 to $287,500 USD / year
As a Staff Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the…
Added 3 days ago
Forward Deployed Engineer, Applied AI
Snowflake Inc.
Bellevue, WA
At Snowflake, we are building a high-impact team to help the world's most innovative companies unlock the power of AI. As an Forward Deployed Engineer, Applied AI on our Cortex AI team, you…
Added 3 days ago
Senior Forward Deployed Engineer, Applied AI
Snowflake Inc.
Bellevue, WA
At Snowflake, we are building a high-impact team to help the world's most innovative companies unlock the power of AI. As a Senior Forward Deployed Engineer, Applied AI on our Cortex AI…
Added 3 days ago
Forward Deployed Engineer - AI, Dedicated Staffing
Carousel Industries
Boston, MA
The Forward Deployed Engineer role is responsible for embedding with a strategic healthcare client's engineering and business teams to design, build, and operationalize AI-enabled solutions…
Added 3 days ago
Intelligence Center X Engineer - Americas
Siemens
Jefferson City, MO
Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It…
Added 3 days ago
S
Intelligence Center X Engineering Manager - Americas
Siemens
Jefferson City, MO
- $197,300 to $394,600 USD / year
Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It…
Added 3 days ago
Forward Deployed Engineer IV, Data Cloud, Google Cloud
Google
San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA
As a Forward Deployed Engineer (FDE) on our Data Cloud team, you will be an embedded builder who bridges the gap between frontier data solutions and production-grade reality for customers.…
Added 4 days ago
Forward Deployed Engineer III, Data Cloud, Google Cloud
Google
San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA
As a Forward Deployed Engineer (FDE) on our Data Cloud team, you will be an embedded builder who bridges the gap between frontier data solutions and production-grade reality for customers.…
Added 4 days ago
Salesforce Solution Architect
Global Career Website
Remote, United States
…enterprise-level solutions for global brands. Operating with a "Forward Deployed Engineer" (FDE) design focus, you will act as a critical technical authority during the entire project…
Added 4 days ago
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
Partner with forward deployed engineers to ensure platform capabilities meet business needs
Added 4 days ago
Senior Forward Deployed AI Engineer - Strategic Finance
Fanatics Collectibles
NY
…Finance and business function teams across the company, the Forward-Deployed AI Engineer will serve as an embedded AI-native builder - identifying high-impact problems and rapidly…
Added 4 days ago
AI Platform Engineer/ Data Quality & Automation / Hybrid in Chicago
Kelly Services
Chicago, IL
A healthcare technology organization is seeking a Forward Deployed Data Engineer to help build the foundation for data-driven operations and AI-powered solutions. This full-time position…
Added 4 days ago
Sr Forward Deployed Engineer (Palantir Foundry & Custom Development)
Jacobs
New York, NY
We're looking for a Mid-Senior Forward Deployed Engineer (FDE II) to own real ambiguity: taking a rough problem statement from the client, Implementation Lead, PM, or Architect, and driving…
Added 4 days ago
Forward Deployed Engineer (Palantir Foundry & Custom Development)
Jacobs
New York, NY
We're looking for a Forward Deployed Engineer (FDE I) to build alongside more experienced FDEs, Implementation Leads, and Architects, executing well-defined requirements across Foundry and…
Added 5 days ago
EA
Senior Forward Deployed Engineer
Enlighten AI Labs
Chicago, IL
- $175,000 to $220,000 USD / year
Experience deploying analytics or AI products with enterprise data warehouses such as Snowflake, BigQuery, or Databricks.
Added 5 days ago
Senior Forward Deployed Engineer
Enlighten AI Labs
Atlanta, GA
Experience deploying analytics or AI products with enterprise data warehouses such as Snowflake, BigQuery, or Databricks.
Added 5 days ago
VH
Senior Data Engineer, Platform
Vanna Health, Inc
Remote, United States
- $180,000 to $220,000 USD / year
…clusters, cost and performance; how work is orchestrated and deployed; how we connect to partners and systems, over SFTP, S3, private networking and partner feeds; and whether all of it is…
Added 5 days ago
R
Software Engineer
Receptive
Remote, United States
- $140,000 to $175,000 USD / year
Receptive is seeking a Software Engineer to build and improve the technology that connects people with mental and physical health services. You’ll support our three telehealth brands,…
Added 5 days ago
Software Engineer, Federal
Factory
United States
…ideally as part of a founding team, a new initiative, or a forward-deployed engineering…
Added 6 days ago
Forward Deployed Engineer – Operational Intelligence Practice
INSOURCE SOFTWARE SOLUTIONS INC.
Remote, United States
The Forward Deployed Engineer will build and deploy industrial data and AI solutions for the InSource Solutions Group Operational Intelligence (OI) Practice, a new consulting practice…
Added 6 days ago
Technology Consulting - TMT - Forward Deployed Engineer - Manager
EY
Minneapolis, MN · Nashville, TN · McLean, VA · Charlotte, NC · Boston, MA · Chantilly, VA · Westlake Village, CA · Miami, FL · New Brunswick, NJ · San Jose, CA · Secaucus, NJ · Chicago, IL · Irvine, CA · Birmingham, AL · Jacksonville, FL · Greenville, SC · Houston, TX · Las Vegas, NV · Albany, NY · Rogers, AR · Detroit, MI · Wichita, KS · Boca Raton, FL · Washington, DC · San Diego, CA · Tulsa, OK · Grand Rapids, MI · Grandview Heights, OH · Akron, OH · San Antonio, TX · Providence, RI · Hartford, CT · Phoenix, AZ · Southfield, MI · Sacramento, CA · New Orleans, LA · Baton Rouge, LA · Stamford, CT · Orlando, FL · Denver, CO · Salt Lake City, UT · San Mateo, CA · Cleveland, OH · New York, NY · Iselin, NJ · Oklahoma City, OK · Rochester, NY · Cincinnati, OH · Pittsburgh, PA · Seattle, WA · Atlanta, GA · Tallahassee, FL · Austin, TX · Portland, OR · Indianapolis, IN · Huntsville, AL · Chattanooga, TN · Philadelphia, PA · Tampa, FL · Baltimore, MD · Des Moines, IA · Arlington, VA · Memphis, TN · Toledo, OH · Fort Worth, TX · Buffalo, NY · Charleston, WV · Kansas City, MO · Louisville, KY · Hoboken, NJ · Tucson, AZ · Alpharetta, GA · Palo Alto, CA · Jericho, NY · Los Angeles, CA · Dallas, TX · Milwaukee, WI · Richmond, VA · Raleigh, NC · St. Louis, MO · San Francisco, CA
…Relevant AI and agentic AI certifications, along with Databricks, Snowflake, NVIDIA, Kubernetes, or similar platform credentials will be…

INSOURCE SOFTWARE SOLUTIONS INC.

Forward Deployed Engineer – Operational Intelligence Practice

Remote, United States

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Job details

Posting language: English

Original job description

Forward Deployed Engineer – Operational Intelligence Practice

Location: Remote – North America

About InSource Solutions

InSource Solutions is a leading industrial software solutions provider and a trusted partner of AVEVA, a global leader in engineering and industrial software. Leveraging AVEVA's portfolio and the portfolios of our other partners, we specialize in delivering cutting-edge services and solutions that empower businesses across various industries to optimize their operations, improve efficiency, and achieve their digital transformation goals.

Position Summary

The Forward Deployed Engineer will build and deploy industrial data and AI solutions for the InSource Solutions Group Operational Intelligence (OI) Practice, a new consulting practice designed to help manufacturers convert digital and AI investments into measurable operational and financial results.

This is a high-impact, high-visibility role for a hands-on, highly self-directed professional who combines industrial data expertise, engineering capabilities, and the judgment to work directly within client operations.

Working closely with the Operational Intelligence Engagement Manager, who leads the definition of client problems and success measures, the Forward Deployed Engineer translates defined business outcomes into working technical solutions. This includes preparing and connecting operational technology (OT) and information technology (IT) data, developing models and analytics using the InSource partner portfolio, and enabling AI workflows that operators and engineers can use in their daily work.

The role contributes technical expertise during discovery and readiness assessments and remains actively involved throughout pilot development, production deployment, and solution expansion.

As a founding member of the OI Practice, the Forward Deployed Engineer will also help establish reusable technical accelerators, delivery standards, and scalable approaches that support the Practice's growth.

Success requires hands-on expertise in industrial data, modern data platforms, and enterprise AI, along with the communication skills to collaborate effectively with operators, engineers, IT teams, and manufacturing leadership.

Key Responsibilities

Hands-On Solution Delivery

Lead the technical development of proof-of-value pilots, translating defined client outcomes and success measures into working solutions.
Build, configure, and optimize models and analytics using platforms such as Braincube, AVEVA Advanced Analytics/TwinThread, and AVEVA Predictive Analytics.
Develop solutions supporting predictive maintenance, process optimization, quality improvement, and other industrial use cases.
Validate results directly with operators and engineers, refining solutions to establish trust and practical value within manufacturing operations.
Collaborate with client teams to transition successful pilots into production environments and resolve technical challenges throughout deployment.

OT/IT Data Engineering

Assess and integrate industrial data sources, including SCADA, historians, MES, and CMMS, with enterprise systems such as ERP platforms.
Develop integration strategies that connect OT and IT data, including time-series and event-based information.
Evaluate client data readiness, including source availability, connectivity, granularity, historical coverage, and data quality.
Design, build, and maintain industrial data flows using AVEVA CONNECT based on use-case requirements and long-term client needs.
Establish asset hierarchies, data contextualization, and standardization to support scalable analytics and AI across manufacturing lines and facilities.
Extend industrial data pipelines into enterprise platforms such as Databricks and Snowflake when required by client architecture.

Industrial AI and Agentic Workflows

Develop AI assistants and agentic workflows using enterprise large language models such as Claude and ChatGPT.
Ground AI solutions in contextualized operational data, procedures, maintenance records, and other relevant client information.
Integrate AI workflows with InSource partner technologies and enterprise data platforms to deliver actionable insights.
Implement appropriate AI guardrails, human review, evaluation processes, and OT security protections.
Help clients establish scalable technical foundations for broader AI adoption and long-term operational transformation.

Embedded Client Partnership

Work directly alongside client operations, engineering, and IT/OT teams, including on-site engagement within manufacturing facilities.
Provide technical expertise during discovery workshops and readiness assessments, including feasibility analysis, identification of data gaps, and effort estimation.
Explain technical decisions, trade-offs, and recommendations clearly to operational, technical, and executive stakeholders.
Collaborate closely with the Engagement Manager to align technical execution with defined business outcomes.
Transfer technical knowledge and documentation to client teams so they can maintain, operate, and extend deployed solutions.

Practice Development and Cross-Functional Collaboration

Develop reusable technical components, including data models, pipeline templates, AI agent patterns, and solution accelerators.
Document technical designs, configurations, decisions, and implementation details to support effective handoffs.
Collaborate with InSource technical teams, partner vendors, Delivery, and Managed Services teams on platform configuration, integration, and technical escalations.
Incorporate lessons learned from client engagements into Practice methodologies, service offerings, and technical standards.
Contribute to establishing scalable delivery approaches that support the transition from pilot projects to production deployments.

Success Metrics

Deliver working, client-validated pilots on schedule and within agreed scope.
Successfully transition solutions from proof-of-value into production and expanded deployment.
Demonstrate measurable operational improvements against client-defined success measures.
Establish sustainable industrial data foundations that support ongoing analytics and AI use cases.
Develop reusable technical assets that improve delivery efficiency across engagements.
Ensure clients and internal teams can operate, maintain, and extend deployed solutions through effective knowledge transfer and documentation.

Qualifications

Skills and Competencies

Strong proficiency in Python and SQL for data engineering, analytics, and model development, including version control tools such as Git.
Advanced understanding of industrial data structures, including time-series and event-based data.
Ability to design and implement industrial data pipelines using platforms such as AVEVA CONNECT.
Hands-on capability developing LLM-enabled applications, AI assistants, and agentic workflows, including retrieval, tool integration, and evaluation.
Ability to leverage AI-powered tools to accelerate coding, analysis, documentation, and technical delivery.
Strong understanding of OT data environments, including historians, SCADA, MES, CMMS, and industrial connectivity.
Ability to translate operational and business requirements into practical technical solutions.
Strong analytical, troubleshooting, and problem-solving capabilities.
Excellent communication skills, with the ability to explain technical concepts to operators, engineers, IT teams, and executive stakeholders.
Demonstrated ownership, initiative, accountability, and ability to work independently in client environments.
Builder mindset with enthusiasm for developing a new consulting practice and creating repeatable technical solutions.
Collaborative approach when working with Engagement Managers, client stakeholders, internal technical teams, and partner vendors.
Strong professionalism, integrity, curiosity, and commitment to client outcomes.
Ability to work effectively within manufacturing facilities and plant-floor environments.

Experience and Education

Required Experience

Minimum of five years of experience in industrial data engineering, OT/IT integration, manufacturing analytics, data science, solutions engineering, or forward deployed engineering within manufacturing or industrial environments.
Hands-on experience developing and deploying analytics, machine learning models, or data products, including at least one solution successfully transitioned from prototype into production.
Working knowledge of industrial OT data sources and structures, including historians, SCADA, MES, CMMS, time-series data, and event data.
Experience integrating OT and IT data into cloud or enterprise data platforms.
Hands-on experience developing applications with large language models, including prompt design, retrieval, or tool-enabled workflows.
Experience working directly with clients, manufacturing facilities, or operations teams in a customer-facing technical role.
Demonstrated ability to translate business requirements into technical designs and communicate trade-offs to non-technical stakeholders.

Preferred Experience

Experience with the AVEVA ecosystem, including PI System, PI Asset Framework, AVEVA CONNECT, AVEVA Advanced Analytics/TwinThread, AVEVA Predictive Analytics, and AVEVA Asset Performance Management.
Experience with Braincube or comparable manufacturing analytics platforms.
Experience with Databricks, Snowflake, Azure, or AWS data services, including lakehouse and streaming architectures.
Experience establishing asset hierarchies, data contextualization, and standardization across manufacturing lines and facilities.
Familiarity with industrial connectivity standards and architectures, including OPC UA, MQTT, ISA-95, and unified namespace.
Experience developing production-ready agentic AI solutions, including multi-step agents, tool integrations such as Model Context Protocol (MCP), and evaluation frameworks.
Industry experience in mining, building products, consumer packaged goods, and food and beverage manufacturing.
Previous experience in consulting, systems integration, or forward deployed engineering.

Education

Bachelor's degree in Engineering, Computer Science, Data Science, or a related technical field preferred.
Advanced degree considered an asset.

Travel Requirements

Ability to travel throughout North America for client engagements, including extended periods working on-site at manufacturing facilities.
Expected travel requirement: 40–60%.

Compensation

Compensation includes a competitive base salary, performance-based incentive plan, and comprehensive benefits. Total earnings potential will be commensurate with experience, qualifications, and demonstrated success delivering industrial data and AI solutions in client environments.

Why Join InSource Solutions?

Joining InSource Solutions offers the opportunity to work at the forefront of technology and innovation. You will have the chance to make a significant impact on our business and help customers across various industries achieve their digital transformation goals.

If you are passionate about selling cutting-edge solutions, have an interest in manufacturing and industrial technology, and are driven to succeed, we encourage you to apply and become part of our dynamic team.

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