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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…
Added just now
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…
Added 13 mins ago
A
Trading, Investment & Optimization - QuantAI Full Stack Manager (Hybrid)
Accenture
New York City, NY
- $87,400 to $253,000 USD / year
QuantAI sits between quantitative research, agentic engineering, product delivery, and client-facing transformation inside Accenture's Industry and Enterprise Reinvention aimed at servicing…
Added 13 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Albany, NY
…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 14 mins ago
Manager, Harness Engineer
KPMG LLP
ALBANY, NY
…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…
Added 14 mins ago
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Staff AI Engineer - Personalization, Brand, Communications Tech
American Express
New York, NY
- $144,250 to $256,250 USD / year
…are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the…
Added 14 mins ago
Agentic AI Engineer, Senior
Deloitte
New York, NY
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
Added 14 mins ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
New York, NY
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 14 mins ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
New York, NY
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 14 mins ago
Lead Integration Engineer II
Deloitte
New York, NY
AI & Agentic Integration: Utilize AI features (e.g., Boomi GPT, MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues.
Added 14 mins ago
AI Engineer 4 (MLX)
Capital One
New York, NY
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 15 mins ago
Principal Applied AI Solutions Architect, Amazon Connect
Amazon
New York, NY
Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data…
Added 15 mins ago
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Lead Java Full Stack Developer
Cognizant
New York, NY
- $75,000 to $123,500 USD / year
As a Lead Java Full Stack Developer, you will make an impact by designing, building, and scaling API-first, cloud-native applications and integrations using modern Java, AWS, React, and…
Added 15 mins ago
Product Architect – Senior Manager
PwC
New York, NY
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Added 15 mins ago
Contact Center Forward Deployed Engineer – AI
IBM
New York, NY
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 15 mins ago
Forward Deployed Engineer – AI
IBM
New York, NY
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 15 mins ago
Forward Deployed Engineer – AI
IBM
New York, NY
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 15 mins ago
Senior Forward Deployed Engineer – AI
IBM
New York, NY
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 1 hour ago
A/AI Machine Learning Engineering - E2
Lockheed Martin
Littleton, CO
The successful candidate will have advanced Software Development experience with knowledge of: Agentic AI and LLM technologies, AI/ML, Deep Learning, or Computer Vision, modern software…
Added 1 hour ago
Senior Software Engineer/Tech Lead
Lilly
Indianapolis, IN
…design, code, and deliver critical components (primarily in Python) while overseeing development teams through design reviews, technical guidance, and quality gates to ensure solutions are…
Added 1 hour ago
Configuration Engineer Advisor
Elevance Health
Indianapolis, IN
Support the future administration of enterprise AI platforms, including generative AI and agentic AI environments, platform access, configurations, integrations, monitoring, governance…
Added 1 hour ago
Contact Center Forward Deployed Engineer – AI
IBM
Detroit, MI
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 1 hour ago
Forward Deployed Engineer – AI
IBM
Detroit, MI
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 1 hour ago
Senior Forward Deployed Engineer – AI
IBM
Detroit, MI
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 1 hour ago
AI Platform Engineer
Ford Motor Company
Allen Park, MI
2+ years of experience with Python and/or Java.

IBM

Forward Deployed Engineer – AI

Detroit, MI, United States

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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

Original job description

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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