Remote Forward-Deployed AI Engineer

Accesa; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Accesa is seeking a Forward Deployed AI Engineer who embeds with client teams to translate real business problems into deployed ML solutions. The role blends hands-on engineering with consulting within a data and AI practice, supporting customers across industries in a remote setup.

You will prototype models, deploy them, and integrate with client data stacks, while communicating progress and trade-offs clearly to both technical and non-technical stakeholders.

Qualifications

• Strong Python programming and ML framework experience.
• Experience moving models to production (packaging, deployment, monitoring).
• Comfort working with clients in a delivery/embedded engineering role.
• Solid data engineering basics: pipelines, storage, APIs.
• Ability to adapt AI tooling to customer constraints.

Responsibilities

• Identify and frame high-value AI/ML use cases with client stakeholders.
• Prototype and ship production-grade models in customer environments.
• Integrate models with data infrastructure and apps.
• Provide hands-on deployment guidance.
• Iterate models based on end-user feedback.
• Communicate progress and trade-offs to engineers and non-technical audiences.

Skills

Python

ML frameworks

Model deployment

Data engineering basics

Client communication

System integration

Job description

Accesa is seeking a Forward Deployed AI Engineer who embeds with client teams to translate real business problems into deployed ML solutions. The role blends hands-on engineering with consulting within a data and AI practice, supporting customers across industries in a remote setup.

You will prototype models, deploy them, and integrate with client data stacks, while communicating progress and trade-offs clearly to both technical and non-technical stakeholders.