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Senior Forward Deployed AI Engineer in San Francisco
Energy Jobline ZR
2 hours ago
Full-time
On-site
San Francisco, California, United States
Job DescriptionJob 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 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
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 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