AI Forward Deployed Engineer

IBM

Cambridge, MA

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JOB DETAILS

SKILLS

Algorithms, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Spark, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Best Practices, Career Development, Cloud Computing, Communication Skills, Computer Programming, Consulting, Continuous Deployment/Delivery, Continuous Integration, Customer Relations, Customer/Client Research, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Distributed Computing, Docker, GCP (Good Clinical Practices), Genetics, Hybrid Cloud, IBM Product Family, Identify Issues, Infrastructure as a Service (IaaS), Leadership, Machine Learning, Machine Tool, Metrics, Microsoft Windows Azure, Performance Analysis, Performance Modeling, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Product Demonstration, Production Systems, Proof of Concept, Prototyping, Python Programming/Scripting Language, Red Hat Linux Operating System, SQL (Structured Query Language), Sales Support, Service Delivery, Software Engineering

LOCATION

Cambridge, MA

POSTED

30+ days ago

**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 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. Your primary responsibilities will include: • 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.

About the Company

IBM

At IBM, you don’t need a degree to shape the future. Just bring your skills—and your passion. To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate.

Not just to do something better, but to attempt things you've never thought possible. To lead in this new era of technology and solve some of the world's most challenging problems. Let’s get to work.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Computer/IT Services

FOUNDED

1911

WEBSITE

http://www-03.ibm.com/employment/us/

AI Forward Deployed Engineer

IBM

Cambridge, MA

About the Company

IBM

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