Forward Deployed Solution Engineer

Motivus; United States; On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Grow Your Career

Work on Emerging Tech

Collaborative Environment

Learning & Development

Client-Centric Approach

Culture of Innovation

Responsibility

Job summary

Motivus is seeking a Forward Deployed Solution Engineer to blend AI engineering with domain fluency, solving complex customer problems and turning AI concepts into production-ready solutions.

You will work directly within client environments, architect solutions, build integrations, and ship AI applications and workflows as part of a data modernization engagement for a US financial services client. You’ll own delivery outcomes end-to-end and collaborate with leadership from both sides.

Qualifications

• Experience with Generative AI, LLMs, RAG, AI agents, vector databases, or model-serving infrastructure.
• Experience with Docker, Kubernetes, Terraform, CI/CD, or modern DevOps practices.
• Experience with Databricks, Snowflake, Spark, or other enterprise data platforms.
• Experience working with enterprise APIs and systems such as Salesforce, SAP, ServiceNow, or similar platforms.
• Industry/domain expertise in Financial Services, Healthcare/Life Sciences, Manufacturing, Retail, or other enterprise industries.
• Experience working directly with CIO, CTO, CDO, data science, engineering, or business stakeholders.
• Consulting, solutions engineering, professional services, or technology implementation experience.

Responsibilities

• Work directly with enterprise clients to understand their business, data, technology, and AI requirements.
• Translate customer problems into AI-powered technical solutions and production architectures.
• Design, build, integrate, test, and deploy AI/ML solutions within customer environments.
• Develop production integrations using APIs, SDKs, data pipelines, databases, cloud platforms, and enterprise applications.
• Build prototypes and POCs and rapidly evolve successful solutions into production implementations.
• Develop applications and workflows using Python and modern AI/ML frameworks and tooling.
• Integrate LLMs, generative AI, machine learning models, agents, RAG pipelines, or other AI capabilities into enterprise workflows, where applicable.
• Work with customer data and technology teams to address data access, security, infrastructure, scalability, and deployment requirements.
• Troubleshoot technical issues across application, data, model, infrastructure, and integration layers.
• Navigate the enterprise “integration wall” — legacy authentication (SSO/OIDC/SAML), ETL pipelines, data residency requirements, and security review processes.
• Collaborate with internal AI scientists, product managers, platform engineers, and core engineering teams to deliver customer solutions.
• Identify recurring customer requirements and translate them into product and platform improvements.
• Communicate complex technical concepts effectively to both technical and executive stakeholders.
• Support solution architecture, technical discovery, demonstrations, and strategic customer engagements.

Skills

Generative AI

LLMs

APIs & Integrations

Docker & Kubernetes

Cloud Platforms

Data Platforms

Solution Architecture

Enterprise Stakeholders

Tools

Databricks

Snowflake

Terraform

CI/CD

Job description

We are seeking a Forward Deployed Solution Engineer who combines strong AI engineering capabilities with deep domain fluency to solve complex customer problems and turn AI concepts into production-ready solutions. This is a highly technical, customer-facing role. You will work directly within client environments to understand business and technical challenges, architect solutions, build integrations, and ship production AI applications and workflows.

This role is part of our Data & AI Guild, working on a data modernization engagement for a US financial services client. The team is building the data infrastructure that powers real-time AI-driven risk models — moving from legacy batch processing to event-driven architecture.

You won’t be handed a backlog. You’ll be part of the architecture conversation from the beginning, working directly alongside the client’s engineering leadership and owning delivery outcomes end-to-end.

Your Role and Responsibilities

What You’ll Do

• Work directly with enterprise clients to understand their business, data, technology, and AI requirements.
• Translate customer problems into AI-powered technical solutions and production architectures.
• Design, build, integrate, test, and deploy AI/ML solutions within customer environments.
• Develop production integrations using APIs, SDKs, data pipelines, databases, cloud platforms, and enterprise applications.
• Build prototypes and POCs and rapidly evolve successful solutions into production implementations.
• Develop applications and workflows using Python and modern AI/ML frameworks and tooling.
• Integrate LLMs, generative AI, machine learning models, agents, RAG pipelines, or other AI capabilities into enterprise workflows, where applicable.
• Work with customer data and technology teams to address data access, security, infrastructure, scalability, and deployment requirements.
• Troubleshoot technical issues across application, data, model, infrastructure, and integration layers.
• Navigate the enterprise “integration wall” — legacy authentication (SSO/OIDC/SAML), ETL pipelines, data residency requirements, and security review processes — to get solutions past the sandbox demo and into production.
• Collaborate with internal AI scientists, product managers, platform engineers, and core engineering teams to deliver customer solutions.
• Identify recurring customer requirements and translate them into product and platform improvements.
• Communicate complex technical concepts effectively to both technical and executive stakeholders.
• Support solution architecture, technical discovery, demonstrations, and strategic customer engagements.

REQUIREMENTS

What This Role Requires

• Experience with Generative AI, LLMs, RAG, AI agents, vector databases, or model-serving infrastructure.
• Experience with Docker, Kubernetes, Terraform, CI/CD, or modern DevOps practices.
• Experience with Databricks, Snowflake, Spark, or other enterprise data platforms.
• Experience working with enterprise APIs and systems such as Salesforce, SAP, ServiceNow, or similar platforms.
• Industry/domain expertise in Financial Services, Healthcare/Life Sciences, Manufacturing, Retail, or other enterprise industries.
• Experience working directly with CIO, CTO, CDO, data science, engineering, or business stakeholders.
• Consulting, solutions engineering, professional services, or technology implementation experience.

AI Portfolio / Proof of Craft

• A public portfolio proving you can ship working software, not just design it: GitHub repositories with real commit history, deployed demos on Hugging Face Spaces, Streamlit, or Gradio, or other live web applications you have personally built and hosted.
• Please include links to your GitHub profile, live demos, and any open-source contributions with your application. We prioritize evidence of shipped, running systems over slide decks or theoretical descriptions.

Working at Motivus

What Working Here Looks Like

• Grow Your Career: At Motivus, you will have the opportunity to expand your skills and take on leadership roles in diverse projects.
• Work on Emerging Tech: Be at the forefront of innovation by working with cutting‑edge technologies and methodologies.
• Collaborative Environment: Work with talented teams that value your ideas and contributions.
• Learning and Development: We offer a range of L&D programs to help you advance your career.
• Client-Centric Approach: Contribute to solutions that create lasting value for global Fortune 500 clients.
• Culture of Innovation: We pursue innovation relentlessly, encouraging our teams to explore new ideas and technologies.
• Responsibility: We give back to the communities that support us and our clients.
• Learning & Development: Our employees lead, learn, and grow, supporting themselves and our clients.

Motivus is an equal opportunity employer and encourages diversity and inclusion in the workplace.

Location USA

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