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# AI Forward Deployed Engineer

- **Company:** IBM
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Machine Learning, Standard Sql, Secure Coding, Software Engineering, Large Language Models, Apache Spark, Model Validation, Generative AI, Build Management, Kubernetes, Virtual Agents, Software Coding, Docker
- **Published:** August 6, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3342464441&tx=FP5148FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Develop AI Solutions: Design and implement AI models to solve complex business problems, selecting relevant features and algorithms to achieve desired outcomes. Deliver demos, proofs of concept, and production-ready implementations while guiding customers on best practices throughout deployment and adoption.
 * Evaluate Model Performance: Assess the effectiveness of algorithms using relevant metrics, identifying areas for improvement and optimizing model performance.
 * Apply Expertise in Cloud and Data: Support sales and delivery of services across cloud, data, and AI domains, with a strong understanding of complex, multi-practice engagements. Strong proficiency in AWS cloud infrastructure and services (SageMaker, S3, Glue, etc.).
 * Experience with Integrated Solution Design: Articulate integrated solutions that span advisory, engineering, and operational capabilities, leveraging expertise across cloud, data, and AI domains.
 * Communicate Results: Clearly articulate the results of AI initiatives, providing actionable insights and recommendations to drive business outcomes.

This job can be performed from anywhere in the US.

Required technical and professional expertise

 * 5-10+ years of recent, hands-on experience in data engineering, machine learning, or AI-related roles
 * AI/ML expertise: Hands-on experience with AI/ML and Generative AI (LLMs, RAG), including building, fine-tuning, and integrating models into real-world applications
 * Agentic AI & workflows: Experience developing or working with agent-based AI solutions (e.g., Amazon Bedrock or similar platforms)
 * Software engineering: Strong coding skills (ideally in Python) and experience building production-grade systems on cloud platforms (AWS, GCP, or Azure)
 * Data & systems: Working knowledge of SQL, ETL pipelines, and large-scale data processing (e.g., Spark or distributed systems)
 * Deployment & tooling: Experience with modern deployment practices (Docker, Kubernetes, CI/CD pipelines)
 * Problem-solving: Comfortable navigating ambiguity, prototyping quickly, and turning ideas into working solutions
 * Communication: Ability to work with clients and explain technical concepts to non-technical audiences
 * Security awareness: Understanding of secure development practices and enterprise considerations for AI systems
 * Product mindset: Ability to think end-to-end and design solutions that align with real user needs

Preferred technical and professional experience

 * Experience working with senior stakeholders or client leadership
 * Background leading or contributing to large-scale AI/ML programs or implementations

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.

## Description

As an AI Forward Deployed Engineer, you will work with customers to understand their workflows, technical environments, and business objectives, translating those needs into practical AI-powered solutions. You will design and build end-to-end systems, integrating AI models with customer data sources, APIs, and infrastructure, and deploy these solutions into real operational settings. To be successful, you will need to iterate quickly, troubleshoot complex issues across the entire technical stack, and collaborate closely with internal product, research, and engineering teams to refine core AI capabilities based on field experience.


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