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Forward Deployed AI/ML Engineer IV

Eliassen Group

Remote • Today

Full-time

USD 170,000.00 - 190,000.00 per year

Lead Forward Deployed Engineer (FDE) - AI Platforms (ML, LLMs, APIs, ML Ops)

Target Corporation

Brooklyn Park, Minnesota • Today

Full-time

USD 132,000.00 - 238,000.00 per year

Sr. ML Ops Engineer, Forward-Deployed

6sense

San Francisco, California • Today

Full-time

USD 191,475.00 - 260,830.00 per year

Forward Deployed AI Engineer Lead

Navigant Consulting

Remote or McLean, Virginia • Today

Full-time

USD 149,000.00 - 248,000.00 per year

Forward Deployed Engineer, AI Transformation -Senior Vice President

Citi

Tampa, Florida • 5d ago

Full-time

USD 141,440.00 - 212,160.00 per year

Forward Deployed Engineer, AI Transformation -Senior Vice President

Citi

Tampa, Florida • Today

Full-time

USD 141,440.00 - 212,160.00 per year

Forward Deployed Engineer, AI Transformation -Senior Vice President

Citi

Irving, Texas • Today

Full-time

USD 156,160.00 - 234,240.00 per year

Senior Director, Forward Deployed Engineer - Operational AI

Aerospike

Remote • Today

Full-time

Lead / Principal Forward Deployed Engineer - Control-M AI

BMC Software Inc

No location provided • Today

Full-time

AI Forward Deployed Engineering Senior Manager | Sales ReInvention

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 132,500.00 per year

Senior AI Forward Deployed Engineer

Lorven Technologies, Inc.

Hybrid in Bloomfield, Connecticut • Today

Easy Apply

Contract, Third Party

$50 - $53

Sr Engineer - Forward Deployed Engineer (FDE) AI Platforms team

Target Corporation

Brooklyn Park, Minnesota • Today

Full-time

USD 98,000.00 - 176,000.00 per year

Forward Deployed AI Engineer - Agentic Systems Lead

EPAM Systems

Remote • Today

Full-time

Forward Deployed AI Engineer - Agentic Systems Lead

EPAM Systems

Remote or New York, New York • Today

Full-time

Forward Deployed AI Engineer Sr Manager

Accenture LLP

Chicago, Illinois • Today

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USD 132,500.00 per year

Senior Forward Deployed AI Engineer - Vice President

Citi

New York, New York • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Lead/Staff Forward Deployed AI Engineer - Senior Vice President

Citi

New York, New York • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Forward-Deployed Delivery Lead (AI & Data)

Confiz LLC

Atlanta, Georgia • Today

Full-time

Forward-Deployed Delivery Lead (AI & Data)

Confiz LLC

Denver, Colorado • Today

Full-time

Senior AI/ML Engineer

Innova Solutions, Inc

Jersey City, New Jersey • 16d ago

Easy Apply

Contract

Depends on Experience

Forward Deployed Engineering Lead (SVP - Applied AI & Engineering)

Citi

Irving, Texas • Today

Full-time

USD 156,160.00 - 234,240.00 per year

Sr. Forward Deployed Engineer

Software Guidance & Assistance

Mississauga, Ontario • Today

Contract, Third Party

AI/ML Engineer

Innova Solutions, Inc

Jersey City, New Jersey • 16d ago

Easy Apply

Contract

Depends on Experience

AI/ML Platform Engineer

The Intersect Group

Hybrid in Sandy Springs, Georgia • Today

Easy Apply

Contract

Depends on Experience

Artificial Intelligence Machine Learning Solutions Engineer 2

INSPYR Solutions

Hybrid in Dale City, Virginia • 13d ago

Easy Apply

Full-time

Depends on Experience

Applied Machine Learning Engineer – Multimodal AI # 26-28180

U.S. Tech Solutions Inc.

Hybrid in New York, New York • Today

Easy Apply

Contract

$80 - $85

Applied Machine Learning Engineer – Multimodal AI- #25-29883

U.S. Tech Solutions Inc.

Hybrid in New York, New York • Today

Easy Apply

Contract

$65 - $70

Sr Forward Deployed Engineer

Amzur Technologies, Inc.

Hybrid in Plainsboro Township, New Jersey • Today

Easy Apply

Full-time

Depends on Experience

Sr. Forward Deployed Engineer

Re:Build Manufacturing

Remote • Today

Full-time

Applied ML/AI Solutions Engineer

The Intersect Group

Hybrid in Sandy Springs, Georgia • Today

Easy Apply

Contract

Depends on Experience

Eliassen Group

Job Details

Skills

Product Demonstration
Demonstrations
IT Architecture
Orchestration
Hardening
Documentation
Business Systems
Legacy Systems
Interfaces
Dashboard
Workflow
Management
SOW
Privacy
Generative Artificial Intelligence (AI)
Python
TypeScript
Scala
Java
Evaluation
Extraction
SQL
Cost Management
Regression Analysis
Microsoft Azure
Google Cloud
Google Cloud Platform
Amazon Web Services
Git
Docker
Continuous Integration
Continuous Delivery
Energy
Shipping
Semantics
Optimization
Machine Learning (ML)
Data Engineering
Apache Spark
Cloud Computing
Databricks
Computer Science
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Product Demonstration
Demonstrations
IT Architecture
Orchestration
Hardening
Documentation
Business Systems
Legacy Systems
Interfaces
Dashboard
Workflow
Management
SOW
Privacy
Generative Artificial Intelligence (AI)
Python
TypeScript
Scala
Java
Evaluation
Extraction
SQL
Cost Management
Regression Analysis
Microsoft Azure
Google Cloud
Google Cloud Platform
Amazon Web Services
Git
Docker
Continuous Integration
Continuous Delivery
Energy
Shipping
Semantics
Optimization
Machine Learning (ML)
Data Engineering
Apache Spark
Cloud Computing
Databricks
Computer Science
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Description:
Remote

As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational problems, then build and ship the systems that solve them. You will deliver production code in the client's environment, used by their people, and measured against their outcomes. The role focuses on taking AI from a promising demo to a system a utility's business runs on. Solutions will be grounded, evaluated, monitored, and trusted by the operators who depend on them.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $170,000 - $190,000/ yr. w2

JN -55

Responsibilities:

Embed with utility clients to design, build, and deploy generative AI (GenAI) and machine learning (ML) systems that solve operational problems in the client's environment.
Own the technical architecture for retrieval, orchestration, model selection, serving, evaluation, and monitoring, and defend it to client architects and security teams.
Run technical discovery independently, distinguish stated problems from underlying needs, and redirect when the requested solution is not appropriate.
Deliver a working, useful system early in each engagement and iterate toward production hardening with appropriate ownership and documentation.
Design task-specific evaluations before building, define correctness with client subject matter experts, and hold systems to those evaluations before release.
Build retrieval and grounding systems over client data, including structured, unstructured, and graph-backed sources.
Integrate with client data platforms and business systems, including undocumented and legacy systems.
Instrument systems so accuracy, latency, cost, and drift are measured and hand off operations that client teams can run.
Build and deploy operator-facing application layers, including review and approval interfaces, agent and chat front ends, evaluation dashboards, and workflow tools.
Set realistic expectations with executives about AI capabilities and limitations.
Manage scope, timeline, and expectations against a defined statement of work and raise risk early.
Contribute reusable accelerators, evaluation harnesses, and reference architectures, and share implementation feedback with engineering and product teams.
Apply AI safety, data privacy, and governance controls appropriate to utility regulatory contexts.

Experience Requirements:

Bachelor's degree in computer science, engineering, statistics, or a related quantitative field.
Five or more years of engineering experience with GenAI or ML systems shipped to production and iterated on based on real usage.
Expert proficiency in Python and working proficiency in at least one of TypeScript, Scala, or Java.
Hands-on production experience with at least one major model provider or open-weights stack, and one vector or hybrid retrieval system.
Experience building and applying evaluation frameworks for LLM and ML systems, including RAG, agentic or multi-agent systems, structured extraction, or text-to-SQL.
Experience with LLMOps, including model serving, latency and cost management, prompt and model versioning, monitoring, and regression detection.
Working knowledge of at least one major cloud ecosystem (AWS, Azure, or Google Cloud Platform). AWS and Databricks preferred.
Proficiency with Git, Docker, and CI/CD tools.
Experience using AI coding assistants and agentic development tools to rapidly prototype, test, and iterate.
Experience in the energy or utility industry, or another asset-heavy sector, with familiarity with systems, data, and operational constraints utilities face.
Experience shipping on compressed timelines from first conversation to a working system in weeks.
Desired: utility experience, knowledge graphs or semantic layers, agent frameworks and tool-calling in production, fine-tuning or prompt optimization, classical ML experience, data engineering with Spark and lakehouse architectures, Databricks Apps or modern front-end frameworks, and relevant cloud or Databricks certifications.

Education Requirements:

Bachelor's degree in computer science, engineering, statistics, or a related quantitative field. Advanced degrees are a plus.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxelisen
Position Id: a1WUQ0000020fLN2AY
Posted 25 minutes ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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Eliassen Group

Job Details

Skills

Product Demonstration
Demonstrations
IT Architecture
Orchestration
Hardening
Documentation
Business Systems
Legacy Systems
Interfaces
Dashboard
Workflow
Management
SOW
Privacy
Generative Artificial Intelligence (AI)
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SQL
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Git
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Product Demonstration
Demonstrations
IT Architecture
Orchestration
Hardening
Documentation
Business Systems
Legacy Systems
Interfaces
Dashboard
Workflow
Management
SOW
Privacy
Generative Artificial Intelligence (AI)
Python
TypeScript
Scala
Java
Evaluation
Extraction
SQL
Cost Management
Regression Analysis
Microsoft Azure
Google Cloud
Google Cloud Platform
Amazon Web Services
Git
Docker
Continuous Integration
Continuous Delivery
Energy
Shipping
Semantics
Optimization
Machine Learning (ML)
Data Engineering
Apache Spark
Cloud Computing
Databricks
Computer Science
Statistics
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Embed with utility clients to design, build, and deploy generative AI (GenAI) and machine learning (ML) systems that solve operational problems in the client's environment.
Own the technical architecture for retrieval, orchestration, model selection, serving, evaluation, and monitoring, and defend it to client architects and security teams.
Run technical discovery independently, distinguish stated problems from underlying needs, and redirect when the requested solution is not appropriate.
Deliver a working, useful system early in each engagement and iterate toward production hardening with appropriate ownership and documentation.
Design task-specific evaluations before building, define correctness with client subject matter experts, and hold systems to those evaluations before release.
Build retrieval and grounding systems over client data, including structured, unstructured, and graph-backed sources.
Integrate with client data platforms and business systems, including undocumented and legacy systems.
Instrument systems so accuracy, latency, cost, and drift are measured and hand off operations that client teams can run.
Build and deploy operator-facing application layers, including review and approval interfaces, agent and chat front ends, evaluation dashboards, and workflow tools.
Set realistic expectations with executives about AI capabilities and limitations.
Manage scope, timeline, and expectations against a defined statement of work and raise risk early.
Contribute reusable accelerators, evaluation harnesses, and reference architectures, and share implementation feedback with engineering and product teams.
Apply AI safety, data privacy, and governance controls appropriate to utility regulatory contexts.

Experience Requirements:

Bachelor's degree in computer science, engineering, statistics, or a related quantitative field.
Five or more years of engineering experience with GenAI or ML systems shipped to production and iterated on based on real usage.
Expert proficiency in Python and working proficiency in at least one of TypeScript, Scala, or Java.
Hands-on production experience with at least one major model provider or open-weights stack, and one vector or hybrid retrieval system.
Experience building and applying evaluation frameworks for LLM and ML systems, including RAG, agentic or multi-agent systems, structured extraction, or text-to-SQL.
Experience with LLMOps, including model serving, latency and cost management, prompt and model versioning, monitoring, and regression detection.
Working knowledge of at least one major cloud ecosystem (AWS, Azure, or Google Cloud Platform). AWS and Databricks preferred.
Proficiency with Git, Docker, and CI/CD tools.
Experience using AI coding assistants and agentic development tools to rapidly prototype, test, and iterate.
Experience in the energy or utility industry, or another asset-heavy sector, with familiarity with systems, data, and operational constraints utilities face.
Experience shipping on compressed timelines from first conversation to a working system in weeks.
Desired: utility experience, knowledge graphs or semantic layers, agent frameworks and tool-calling in production, fine-tuning or prompt optimization, classical ML experience, data engineering with Spark and lakehouse architectures, Databricks Apps or modern front-end frameworks, and relevant cloud or Databricks certifications.

Education Requirements:

Bachelor's degree in computer science, engineering, statistics, or a related quantitative field. Advanced degrees are a plus.

Dice Id: cxelisen
Position Id: a1WUQ0000020fLN2AY
Posted 25 minutes ago

Company Info

About Eliassen Group

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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