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Added 3 mins ago
Senior Full Stack GenAI Engineer *
LED FastStart
Lafayette, LA
We are seeking an experienced Senior Full Stack GenAI Engineer to design and deliver intelligent, agent driven AI solutions that automate enterprise workflows and business processes. In…
Added 7 mins ago
Principal Generative AI Engineering Lead - Senior Vice President
Citi
IRVING, TX · Irving, TX · Irving
Applied AI Skills: Mastery of Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
Added 8 mins ago
Product Manager, Higher Education Discipline Product- Computing
Cengage Learning Inc.
OH
…accelerate the way we work by applying data, experimentation, and GenAI-enabled practices where appropriate to improve speed, effectiveness, and product impact. It's an exciting role with…
Added 30 mins ago
Sr. AI Product Manager
Irvine, CA
Evaluate and prioritize AI use cases, including GenAI copilots, intelligent automation, and decisioning, based on business value, feasibility, risk, and cost.
Added 37 mins ago
Sr. AI Product Manager
Irvine, CA
Evaluate and prioritize AI use cases, including GenAI copilots, intelligent automation, and decisioning, based on business value, feasibility, risk, and cost.
Added 1 hour ago
Principal Generative AI Engineering Lead - Senior Vice President
Citibank, N.A.
United States
Applied AI Skills: Mastery of Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
Added 1 hour ago
Enterprise Account Executive
Observe.AI
Remote, United States
Added 1 hour ago
Digital Product Manager - AI Knowledge & Solutions
Allstate
Remote, United States
AI Innovation: Identify and apply AI (including GenAI and agentic tech), rapidly experimenting to responsibly scale ideas into production
Added 1 hour ago
Principal 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
Software Development Engineer (Database) Early Career- 2027 (US)
Amazon.com Services LLC
Boston, MA · Austin, TX · Seattle, WA · Redmond, WA · East Palo Alto, CA
Use GenAI and AI-powered tools to enhance development productivity, and critically validate, verify, and integrate AI-generated code, exercising sound judgement about when to trust AI…
Added 1 hour ago
T
Architect
TEKsystems
Hanover, MD
- $156,000 to $234,000 USD / year
…demonstrable complexity & scale Hands on knowledge of AWS AI/ML and GenAI services including SageMaker, Amazon Bedrock, Amazon Bedrock AgentCore (agentic architectures, runtimes, gateways,…
Added 2 hours ago
Senior Product Marketing Manager
A10 Networks, Inc.
San Jose, CA
Market Insight: Strong knowledge of enterprise AI use cases (e.g., GenAI and agentic AI etc.) and good understanding of AI market trend
Added 2 hours ago
AI Data Program Manager, Marcom
Apple
Sunnyvale, CA
Direct experience delivering applied AI, GenAI, or decision-support platforms (e.g., retrieval-augmented generation [RAG], agentic orchestration, vector search, or automated LLM evaluation…
Added 2 hours ago
Sr ML Engineer, Admin Central
Workday, Inc.
CA
5+ years of experience and proficiency in deep learning, natural language processing (NLP), and GenAI/LLM orchestration, utilizing frameworks and libraries such as PyTorch, TensorFlow,…
Added 2 hours ago
Digital Product Manager - AI Knowledge & Solutions
Allstate Insurance Co.
Remote, United States
AI Innovation: Identify and apply AI (including GenAI and agentic tech), rapidly experimenting to responsibly scale ideas into production
Added 2 hours ago
Staff Software Engineer, Google Workspace, AI/ML
Google
Sunnyvale, CA
…Gmail and Chat data secure, and to enable rapid development of GenAI based features in Gmail, Workspace and across…
Added 2 hours ago
(=
ED, Advanced Analytics and Modeling
(FCRS = US014) Novartis Pharmaceuticals Corporation
East Hanover, NJ
- $225,400 to $418,600 USD / year
Incubate AI and Unstructured Intelligence capabilities, including NLP, GenAI, text analytics, unstructured signal detection, evidence synthesis, and knowledge acceleration.
Added 2 hours ago
DT Lead - Commercial Data Engineering & Data Product
UCB
Atlanta, GA
Working knowledge of AI/ML and GenAI data requirements, including features, RAG or vector
Added 2 hours ago
BN
Application & Integration Developer (Contract)
Business Network Consulting, Ltd.
Denver, CO
- $125 to $150 USD / hour
Business Network Consulting (BNC) is seeking a senior, hands-on developer to design, support and extend custom applications, data integrations and automation solutions for…
Added 2 hours ago
Associate Creative Director
The New York Times
NY
…possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview…
Added 2 hours ago
Software Development Engineer
Annapurna Labs (U.S.) Inc.
Cupertino, CA
- Participate in code reviews, contribute to technical documentation, and leverage GenAI tools to enhance development productivity
Added 3 hours ago
S
Chief Revenue Officer (CRO)
SmarTek21
Kirkland, WA
- $200,000 to $230,000 USD / year
…provider, integrating advanced technologies like Generative AI (GenAI) to facilitate our clients' seamless, transformative digital journeys. A passion unites our dynamic team of technology…
Added 4 hours 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 4 hours ago
Air Force Training and Development Specialist Civilian Foundational Development (CFD) (T&DS) Maxwell AFB (PRIME)
InfiniSource Consulting Solutions
Wetumpka, AL
Added 4 hours 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…

Closed listing

IBM

Forward Deployed Engineer – AI

Dallas, TX, United States
Houston, TX, United States
Austin, TX, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

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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