About the Role
We are engaged in a national search for Forward Deployed Engineers who will assist our client in building an Agentic Workforce powered by AI.
The Forward Deployed Engineer (FDE) is a hands-on technical contributor responsible for partnering directly with business stakeholders to design, build, and deploy data-driven and AI-enabled solutions that deliver measurable business outcomes. The FDE serves as a bridge between business needs and technology platforms, ensuring rapid transformation of high-value use cases from concept to production.
The Forward Deployed Engineers operate as an embedded engineering partner within business and product teams, who will own end-to-end lifecycle of solutions, from problem definition and architecture through delivery, deployment, and optimization.
This role accelerates time-to-value by integrating enterprise data, systems, and AI capabilities into scalable, secure, and compliant workflows that improve operational efficiency and customer experience.
In this role, the Forward Deployed Engineers will:
Partner with business stakeholders to identify, prioritize, and define high-value use cases aligned to strategic objectives and measurable outcomes.Translate business problems into technical designs, solution architectures, and executable implementation plans.Design, build, and deploy end-to-end solutions including data pipelines, APIs, workflow orchestration, and AI/ML-enabled capabilities.Integrate solutions into existing enterprise systems, platforms, and workflows to ensure adoption and operational impact.Accelerate delivery by moving solutions from proof-of-concept to production in a rapid, iterative manner. (One Month)Ensure reliability, scalability, and performance of solutions through monitoring, testing, and optimization.Collaborate with architecture, engineering, security, and data teams to ensure compliance with enterprise standards, governance, and security requirements.Maintain solutions in alignment with industry requirements, data governance, and internal audit requirements, ensuring proper controls and documentation are in place.Contribute reusable code, patterns, and components to enterprise platforms to enable scalability and reduce duplication.
The appropriate individual will have clearly demonstrated experience in the following:
Five to seven years of AI / LLM technologies including large language models (LLMs), retrieval augmented generation (RAG), or automation frameworks.Background as a hands on Forward Deployed Engineer or within similar rapid AI development background.Cloud platforms (Azure preferred), containerization, and infrastructure as code.Designing and delivering enterprise-grade solutions across data, application, and integration layers.Strong full-stack technical skills including backend development, data engineering, and system integration. (i.e. React, Next.js, Python, Node.js, AI SDK, Snowflake, Azure, OpenAI API, Anthropic Claude, PyTorch, VPinecone, Qdrant)Ability to design and implement data pipelines, APIs, and scalable solution architectures.Software engineering, data engineering, or related technical roles that include one or more of the following: Front-end development, Full-stack engineering, Backend development, Data pipelines, Agent integration, Prompt engineering, Rapid application development or UX prototyping.Knowledge of data governance, security standards, and compliance requirements.Ability to work collaboratively with cross-functional teams including business, product, and engineering stakeholders.Extremely strong communication skills with the ability to clearly articulate technical concepts to non-technical audiences.
Please Note: This is a full-time employee role. This role is not a contract opportunity, and it is not open to C2C. We are not working with third-party firms for this engagement. Our client is not sponsoring visas for this role.
Work Environment: This role is fully remote or can be hybrid in Rhode Island. Remote candidates must reside in one of the following states: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia