Forward Deployed Engineer, AI & Analytics
New
J
JobgetherAI & Analytics
Based in United StatesContractSenior
Salary not disclosed
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Job Details
- Languages
- Strong written and spoken English
- Experience
- 6+ years
- Required Skills
- PythonSQLSnowflakeData engineeringDatabricks
Requirements
- 6+ years of experience in software engineering, data engineering, ML engineering, or a closely related discipline, with senior-level ownership of production systems.
- Hands-on production experience with Palantir Foundry (Pipeline Builder, Ontology, Workshop); AIP experience is an advantage.
- Deep experience with data and AI platforms such as Databricks or Snowflake, with the ability to ramp quickly on new platforms.
- Strong production experience with Python and SQL; TypeScript or Java experience is a plus.
- Demonstrated experience building and deploying LLM- and agent-based solutions involving retrieval, tool use, evaluation, and productionization.
- Experience in consulting, solutions engineering, forward-deployed engineering, or client-embedded technical delivery.
- Ability to lead discovery sessions, facilitate technical workshops, train engineering teams, and communicate recommendations effectively to senior technical and business stakeholders.
- Strong written and spoken English, with confidence presenting technical concepts and defending recommendations in front of executives.
- Demonstrated ability to work as a technical generalist, independently building integrations, pipelines, application components, dashboards, and supporting tooling.
- Proven experience owning solutions end-to-end and being accountable for measurable outcomes such as adoption, time to production, or business KPIs.
- Healthcare, staffing, workforce, or other regulated-industry experience is a plus.
Responsibilities
- Take an existing analytics and predictive proof of concept into production, covering data pipelines, ontology, application development, governance, and observability.
- Work directly with business and product stakeholders to understand operational challenges, conduct discovery sessions, and translate policies and procedures into working software and AI-driven solutions.
- Build and integrate production-grade applications, pipelines, dashboards, agent workflows, and supporting technical components.
- Develop AI and LLM-powered capabilities involving retrieval, tool use, evaluation, and agent-based workflows, moving solutions beyond proof-of-concept stages.
- Define meaningful adoption, delivery, or business-performance metrics with client business leaders and take ownership of reporting against those outcomes.
- Shape the roadmap from an initial proof of concept toward a scalable, production-ready product that can support broader business adoption.
- Collaborate closely with client engineers while delivering solutions, providing hands-on training, pairing, documentation, and knowledge transfer.
- Help establish repeatable technical practices, playbooks, and workflows that enable client teams to maintain and extend the solutions independently.
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