[Remote] AI Forward Deployed Engineer

Note: The job is a remote job and is open to candidates in USA. IBM Consulting focuses on long-term client relationships and collaboration, helping companies with their hybrid cloud and AI journeys. As an AI Forward Deployed Engineer, you will design and build AI-powered solutions by understanding customer workflows and integrating AI models with their data sources.ResponsibilitiesDevelop 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 adoptionEvaluate Model Performance: Assess the effectiveness of algorithms using relevant metrics, identifying areas for improvement and optimizing model performanceApply 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 domainsCommunicate Results: Clearly articulate the results of AI initiatives, providing actionable insights and recommendations to drive business outcomesSkills5–10+ years of recent, hands-on experience in data engineering, machine learning, or AI-related rolesAI/ML expertise: Hands-on experience with AI/ML and Generative AI (LLMs, RAG), including building, fine-tuning, and integrating models into real-world applicationsAgentic 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 solutionsCommunication: Ability to work with clients and explain technical concepts to non-technical audiencesSecurity awareness: Understanding of secure development practices and enterprise considerations for AI systemsProduct mindset: Ability to think end-to-end and design solutions that align with real user needsExperience working with senior stakeholders or client leadershipBackground leading or contributing to large-scale AI/ML programs or implementationsCompany OverviewIBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. It was founded in 1911, and is headquartered in Armonk, New York, USA, with a workforce of 10001+ employees. Its website is http://www.ibm.com.Company H1B SponsorshipIBM has a track record of offering H1B sponsorships, with 279 in 2026, 2993 in 2025, 3258 in 2024, 2139 in 2023, 1807 in 2022, 1156 in 2021, 2669 in 2020. Please note that this does not guarantee sponsorship for this specific role.