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Added 7 mins ago
Software Engineering Technical Leader - BackEnd
Cisco
Research Triangle Park, NC
…including distributed Retrieval-Augmented Generation (RAG), agentic workflows, multi-modal LLM orchestrations, and secure vector retrieval…
Added 7 mins ago
Software Engineering Technical Leader - Cisco IQ
Cisco
Research Triangle Park, NC
…architectural anchor for embedding autonomous and semi-autonomous agentic capabilities directly into business-critical application…
Added 8 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Raleigh, NC
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 8 mins ago
Agentic AI Engineer, Senior
Deloitte
Charlotte, NC
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
Added 8 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Charlotte, NC
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers…
Added 8 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Charlotte, NC
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers…
Added 9 mins ago
Lead Integration Engineer II
Deloitte
Raleigh, NC · Charlotte, NC
AI & Agentic Integration: Utilize AI features (e.g., Boomi GPT, MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues.
Added 9 mins ago
Contact Center Forward Deployed Engineer – AI
IBM
Charlotte, NC · Raleigh, NC
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,…
Added 9 mins ago
Forward Deployed Engineer – AI
IBM
Raleigh, NC · Charlotte, NC
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,…
Added 9 mins ago
Forward Deployed Engineer – AI
IBM
Raleigh, NC · Charlotte, NC
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,…
Added 9 mins ago
Senior Forward Deployed Engineer – AI
IBM
Charlotte, NC · Raleigh, NC
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,…
Added 9 mins ago
Gen AI Senior Engineer
NTT Data Americas, Inc.
Charlotte, NC
…organization, apply now. NTT DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join our team in Charlotte, North Carolina (US-NC), United States…
Added 16 mins ago
Applied AI Engineer
ERCOT
Taylor, TX
Designs and builds production agentic systems, covering planning, tool-calling, multi-step reasoning, memory, and error recovery, using modern orchestration frameworks such as LangGraph or…
Added 28 mins ago
AS
Principal Software Engineering - Reliability and FinOps Engineer
AT&T Services, Inc.
Remote, United States
- $155,400 to $261,100 USD / year
…accountability, and automate operational workflows across Azure, AWS, Kubernetes, and hybrid-cloud…
Added 41 mins ago
Engineer, Enterprise AI
Navitus Health Services
Madison, WI
Added 55 mins ago
Associate Solutions Architect
HTP Solutions
United States
…Practice, you will design and deliver AI-enabled solutions on AWS for customers, focusing on Amazon Bedrock, Amazon SageMaker, AWS Lambda, Generative AI, and Agentic…
Added 1 hour ago
Platform Engineer - AVP
Barclays Services LLC
United States
…solutions. In this role, you will build secure, scalable, and developer-friendly platforms that accelerate innovation across cloud, container, AI, and enterprise environments. Join a team…
Added 1 hour ago
Senior Full Stack Engineer
Bond OpCo, LLC
Fort Lauderdale, FL
7+ years in software engineering, including 3+ years with TypeScript and Node.js or Python in production.
Added 1 hour ago
Principal Backend Engineer AI (Python)
COTIVITI, INC.
SOUTH JORDAN, UT
Added 1 hour ago
Cloud Engineer
Cisco
Research Triangle Park, NC
Experience in Infrastructure as Code (Terraform, Ansible, GitOps); cloud platforms (AWS, Azure, DC, etc.) as well as container technologies (Docker, Kubernetes, etc.).
Added 2 hours ago
Software Engineering Technical Leader - Cisco IQ
Cisco
San Jose, CA
…architectural anchor for embedding autonomous and semi-autonomous agentic capabilities directly into business-critical application…
Added 2 hours ago
DE
Software Engineer II (GenAI)
Disney Entertainment
Seattle, WA
- $119,200 to $167,400 USD / year
The role focuses on hands on GenAI application engineering, including Python development, retrieval and grounding workflows, prompt design, conversational AI support, and backend service…
Added 2 hours ago
Senior Graph Developer - Application Development
United Airlines
Chicago, IL
We are seeking an experienced and passionate Senior Knowledge Graph Developer to design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical…
Added 2 hours ago
IG
Lead Python Engineer
Insight Global
Remote, United States
- From $74 USD / hour
The ideal candidate has deep Python expertise and hands-on experience with LangGraph/LangChain, MCP servers, AWS, PostgreSQL, and agentic architectures. This person should be comfortable…
Added 3 hours ago
Technical Architect 4C
Genpact LLC
United States
…Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex…

Closed listing

IBM

Forward Deployed Engineer – AI

New York, NY, 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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