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Added 11 mins ago
Lead Forward Deployed Engineer, Palantir
Deloitte
Baltimore, MD
…leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery…
Added 11 mins ago
Lead Forward Deployed Engineer, Frontier GenAI
Deloitte
Baltimore, MD
As a Lead Frontier GenAI FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and…
Added 11 mins ago
Lead Forward Deployed Engineer, Microsoft AI & Data
Deloitte
Baltimore, MD
…leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery…
Added 11 mins ago
Senior Forward Deployed Engineer, ServiceNow
Deloitte
Baltimore, MD
…client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working…
Added 11 mins ago
Forward Deployed Engineer- ServiceNow
Deloitte
Baltimore, MD
…client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working…
Added 11 mins ago
Lead Forward Deployed Engineer, ServiceNow
Deloitte
Baltimore, MD
…leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery…
Added 11 mins ago
Data Engineer II
Deloitte
Baltimore, MD
…intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design…
Added 11 mins ago
AI Engineer II
Deloitte
Baltimore, MD
…an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion,…
Added 11 mins ago
AI Engineer III
Deloitte
Baltimore, MD
…an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion,…
Added 31 mins ago
AI ML Engineer 6564206
Accenture Flex LLC Company
Dallas, TX
Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search (e.g., FAISS), and grounded, citation-backed responses
Added 31 mins ago
Air Force Training and Development Specialist Civilian Foundational Development (CFD) (T&DS) Maxwell AFB (PRIME)
InfiniSource Consulting Solutions
Wetumpka, AL
Added 40 mins ago
Security Engineer, Security for Employee and Legal Systems (SEALS)
Amazon.com Services LLC
Seattle, WA
…automated evaluation and learning to secure a new generation of GenAI and agentic…
Added 40 mins ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
Cupertino, CA
…software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium machine learning…
Added 45 mins ago
Sr Software Engineer
Cengage Learning Inc.
OH
Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI, Hugging Face, LangChain).
Added 51 mins ago
Senior Accountant
The New York Times
Norfolk, VA
…possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview…
Added 1 hour ago
Manager AI Quality, Security & Assurance
Westinghouse Electric Company, LLC
Cranberry Township, NC
AI evaluation involves establishing methods and datasets. We will use these to evaluate GenAI responses and agent behavior, including grounding, robustness, tool use, human oversight, and…
Added 1 hour ago
Senior Data & Applied Scientist - Ontologies & Semantics
SAP
Palo Alto, CA
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Added 1 hour ago
S
Director, Engineering, Merchandising Systems
sephora.com
San Francisco, CA · San Francisco
- $235,980 to $262,200 USD / year
…Agentic/AI-driven SDLC, AI-augmented product management, and using GenAI tools to engage stakeholders, accelerate requirements, and drive process…
Added 1 hour ago
Visual Editor, Special Projects
The New York Times
NY
Added 1 hour ago
Senior AI/AML Engineer, Vice President
Citibank, N.A.
United States
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…
Added 1 hour ago
Senior AI/AML Engineer, Vice President
Citibank, N.A.
United States
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…
Added 1 hour ago
Margin Java Tech Lead, Senior Vice President
Citibank, N.A.
United States
Experience with designing and developing ML/GenAI solutions will be an advantage
Added 1 hour ago
Senior Data Engineer
Hillwood
Dallas, TX
…excellence and teamwork. The company is a full-service real estate developer, investor and advisor focused on developing opportunities for investors, partners and communities around the…
Added 1 hour ago
Backend Engineering Intern, Wirecutter
The New York Times
NY
…through network and application architecture improvements. As a Developer Platform intern, you’ll contribute to practical projects that help Wirecutter teams test, deploy, and operate web…
Added 2 hours ago
Development Associate / Analyst
Nscale
United States
Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centers, software, and applications that power today’s AI stack using…

Closed listing

IBM

Forward Deployed Engineer – AI

Raleigh, NC, United States
Charlotte, NC, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 5-7+ years of experience in AI/ML, data science, or software engineering, delivering production AI solutions.
Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Forward Deployed Engineer - AI, you will work directly with clients to transform complex business challenges into production-ready AI solutions. Combining software engineering, data science, GenAI, agentic AI, and advanced analytics, you will rapidly prototype, deploy, and scale solutions that deliver measurable business value.

Your primary responsibilities will include:

Solve Client Challenges: Partner with business and technical teams to identify opportunities, define AI use cases, and establish success metrics.
Build and Deploy AI Solutions: Develop end-to-end GenAI, RAG, and agentic AI applications using tools such as LangGraph, CrewAI, and hyperscaler cloud AI platforms (e.g., AWS, Google, Azure).
Engineer Agentic and GenAI Systems: Design and implement LLM-powered agents, tool use and orchestration, prompt and context engineering, and evaluation frameworks using platforms such as LangGraph, CrewAI, Vertex AI, Azure AI Foundry, or Amazon Bedrock. Apply guardrails, observability, and testing to ensure accuracy, safety, and reliability.
Data Engineering and Integrations: Prepare structured and unstructured data and integrate AI solutions with enterprise systems, APIs, and data platforms.
Scale and Operationalize AI: Apply MLOps/LLMOps, testing, monitoring, and responsible AI practices to ensure solutions are reliable, secure, and production-ready.
Drive Business Impact: Present insights, demonstrate outcomes, support client adoption, and turn successful solutions into reusable assets for future engagements.

This job can be performed from anywhere in the US.

Required technical and professional expertise

5-7+ years of experience in AI/ML, data science, or software engineering, delivering production AI solutions.
Strong Python and SQL skills, with hands-on experience building GenAI and agentic AI applications, including LLMs, RAG, and multi-step workflows using tools such as LangChain, LangGraph, or CrewAI.
Hands-on experience building GenAI applications with large language models, including RAG, prompt and context engineering, embeddings and vector databases (e.g., Milvus, Elasticsearch, pgvector, Pinecone), and LLM evaluation.
Experience designing and building agentic AI workflows using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, including tool calling and multi-step orchestration.
Experience with machine learning and data processing using tools such as scikit-learn, PyTorch, Pandas, or Spark.
Experience integrating and deploying AI solutions using APIs (REST/FastAPI), cloud AI platforms (AWS Bedrock, Azure AI, or Google Vertex AI), and tools such as Git, Docker, or Kubernetes.
Experience with at least one major cloud AI platform (AWS Bedrock, Azure AI Foundry, or Google Vertex AI).
Strong client-facing skills, with the ability to translate business challenges into technical solutions and communicate with technical and non-technical audiences.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

Preferred technical and professional experience

Master’s or PhD in a technical or quantitative field.
Experience with LLM fine-tuning, AI evaluation and governance,
Industry experience in high tech, electronics or manufacturing.
Background in forward deployed engineering, solutions engineering, or client-facing consulting.
Front-end development experience (e.g., React or Streamlit), cloud/AI certifications, or open-source AI contributions.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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