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Senior Forward Deployed AI Engineer

AccrueTalent
3 hours ago
Full-time
On-site
East New York, New York, United States
Job Description

Job Description

Looking for a Senior Forward Deployed AI Engineer to lead the deployment and customization of AI-powered solutions for real-world customer environments. This role sits at the intersection of engineering, product, and customer success — working directly with users to understand complex workflows and translate them into practical, high-impact AI solutions. You’ll operate in a fast-paced, high-ownership environment, rapidly prototyping, iterating, and deploying systems that deliver immediate value. This role requires strong technical depth, a problem-solving mindset, and the ability to navigate ambiguity while staying focused on outcomes. What you’ll do: Partner closely with customers to understand workflows and identify opportunities to apply AI/ML solutions Design, customize, and deploy AI-driven systems tailored to specific customer needs Rapidly prototype and iterate on solutions based on real-time feedback Break down complex problems into actionable steps and deliver results in ambiguous environments Integrate a wide range of AI/ML technologies to solve diverse, real-world challenges Provide hands-on technical support to ensure successful implementation and adoption Collaborate with internal engineering teams to inform product development and improvements Stay current with advancements in AI/ML and apply them to practical use cases Mentor other engineers and contribute to a strong, collaborative engineering culture Influence product direction by bringing insights from customer engagements and emerging technologies What we’re looking for: 4+ years of experience in software engineering, data engineering, or machine learning Strong coding ability with a focus on building and shipping real-world systems Experience with or strong interest in Large Language Models (LLMs) and prompt engineering Ability to quickly learn new technologies and adapt in fast-changing environments Strong bias toward delivering business value over purely theoretical work Comfort operating across a wide range of technical problems rather than specializing narrowly Proven ability to break down complex systems and execute effectively High resilience, resourcefulness, and ownership mindset Strong communication skills and ability to work directly with customers Interest in applying technology to real-world domains and making meaningful impact Nice to have: Experience or interest in healthcare or regulated environments Proficiency in Python Experience with machine learning and neural networks