Jobs in the United States

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Added 9 mins ago
DevOps Engineer
Cisco Systems, Inc.
Remote, United States
Experience with agentic AI workflows, LLM prompting, or AI-driven developer productivity tools.
Added 11 mins ago
Cloud Engineer
Cisco Systems, Inc.
RTP, NC
Experience in Infrastructure as Code (Terraform, Ansible, GitOps); cloud platforms (AWS, Azure, DC, etc.) as well as container technologies (Docker, Kubernetes, etc.).
Added 14 mins ago
Sr. Specialist, AI CRM Engineering
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
…industry standard models like Claude accessed directly or via AWS Bedrock under the direction of the engineering…
Added 27 mins ago
PN
Software Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $109,000 USD / year
AI Systems Development – Contribute to agentic AI implementations, work with LLM integrations, learn MLOps best practices on real-world applications
Added 1 hour ago
PF
Experienced Info Security Engineer (AI Automation)
Principal Financial Group
UNAVAILABLE
- $84,600 to $187,200 USD / year
2+ years of experience working with AWS (GCP or Azure experience also welcome) is required.
Added 2 hours ago
AI/Automation Engineer - Level 2 (Chandler) (AHT)
Northrop Grumman
Chandler, AZ
Proficiency in Python or Go (Golang) with a strong background in software development, debugging, and testing.
Added 2 hours ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Jackson, MS
Cloud computing (AWS, Microsoft Azure, Google Cloud)
Added 3 hours ago
Senior Data Scientist Engineer - SFL Scientific
Deloitte
Boston, MA
…health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and…
Added 3 hours ago
Data Scientist Engineer - SFL Scientific
Deloitte
Boston, MA
…health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. Join us to expand your technical career through the lens…
Added 4 hours ago
Sr. Application Security Engineer
American Express Global Business Travel
Cheyenne, WY
…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 4 hours ago
Sr. Application Security Engineer
American Express Global Business Travel
Providence, RI
…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 4 hours ago
Sr. Application Security Engineer
American Express Global Business Travel
Frankfort, KY
…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 4 hours ago
Principal Scientist, Translational AI Foundations
Cambridge Discovery Hub
Cambridge Crossing, MA
…versioning, validation evidence), and who has started building agentic automation on that foundation. You will build on the existing enterprise data platforms in partnership with the data,…
Added 4 hours ago
Director, GTM AI Engineering
Samsara
Remote, United States
Hands-on experience building and shipping LLM applications and agentic workflows to production, including tool use, retrieval, context engineering, and production reliability.
Added 5 hours ago
Advanced Software Engineer
Relativity ODA LLC
IL
Added 5 hours ago
Data Science Manager
Irvine, CA
…development, evaluation and production, applying LLM-based and agentic AI techniques alongside traditional machine learning. The role partners with business, product, technology, AI…
Added 5 hours ago
Applied Scientist II, AWS Quick
Amazon Development Center U.S., Inc.
New York, NY
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.
Added 5 hours ago
Applied Scientist II, AWS Quick
Amazon Web Services, Inc.
Santa Clara, CA
Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.
Added 5 hours ago
Data Science Manager
Irvine, CA
…development, evaluation and production, applying LLM-based and agentic AI techniques alongside traditional machine learning. The role partners with business, product, technology, AI…
Added 6 hours ago
Sr. Application Security Engineer
American Express Global Business Travel
Bismarck, ND
…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 6 hours ago
Scientist II, Bioinformatics (Applications Lab)
Pacific Biosciences of California, Inc.
CA
…troubleshoot bioinformatics pipelines and automated workflows using Python, Linux, and high-performance computing (HPC) environments. Reduce manual intervention and improve processing…
Added 6 hours ago
Director, Data Science, Functional Genomics
MRL San Francisco, LLC
MA
Bring modern AI and ML, including LLM powered agentic workflows and network based methods, to how we triage targets and synthesize biological evidence.
Added 6 hours ago
UG
Senior Software Engineer
UnitedHealth Group
Minneapolis, MN
- $91,700 to $163,700 USD / year
…fast-paced and fluid environment, and using generative and agentic AI to accelerate development, testing, automation, and operational support. You will partner with product, architecture,…
Added 6 hours ago
Principal Data & Applied Scientist - Ontologies & Semantics
SAP
Palo Alto, CA
Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.
Added 7 hours ago
Manager, Harness Engineer
KPMG LLP
Cincinnati, OH
…production software, with deep expertise in modern languages (Python, Go, Rust, or Java) and cloud platforms (Azure, AWS, or Google Cloud (GCP)) - Bachelor's degree from an accredited…

Closed listing

IBM

Senior Forward Deployed Engineer – AI

Cambridge, MA, United States
Boston, MA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 8-12+ 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

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

Required Qualifications

8-12+ 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

Preferred Qualifications

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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