Note: The job is a remote job and is open to candidates in USA. Accion Labs is recruiting for an unnamed client. The Forward Deployed AI Engineer builds and deploys AI/ML applications, data pipelines, and Palantir Foundry workflows, working with business teams to turn prototypes into production systems and measure their outcomes.

Responsibilities

• Design, build, and deploy Palantir Foundry workflows, including data pipelines, ontology objects/links/actions, and security models
• Work directly and iteratively with business stakeholders in an embedded, forward-deployed model — prototyping, gathering feedback, and hardening workflows into production applications
• Design, build, and deploy AI/ML and LLM-based applications (retrieval-augmented generation, tool-calling agents, and evaluation harnesses) that solve concrete business problems
• Build and maintain integrations between Foundry and upstream/downstream systems (e.g., Databricks, Oracle Fusion HCM, GL/accounting systems), including API, JDBC, and OAuth-based connectivity
• Identify and scope high-value AI and automation opportunities across underwriting, asset management, corporate/back-office operations, and portfolio company operations, then build the working solution
• Configure and extend AI platforms such as Claude Enterprise and ChatGPT Enterprise, including connectors, agentic workflows, and tool integrations
• Establish reusable engineering patterns (pipeline templates, ontology conventions, RAG/agent frameworks) that other teams can build on
• Own data security, access control, and technical governance for the systems built, in partnership with InfoSec and Compliance
• Track and report on the performance, adoption, and measurable ROI of deployed AI, automation, and Foundry workflows
• Provide hands-on technical training and documentation so business teams can operate and extend the workflows built for them
• Stay current on AI/ML tooling, model capabilities, and Foundry platform updates, and evaluate them for practical fit

Skills

• Hands-on, production experience building and deploying workflows, pipelines, and ontology objects on Palantir Foundry or a comparable enterprise data platform (Databricks, Snowflake)
• Practical experience building AI/ML and LLM-based applications — RAG pipelines, agentic/tool-calling workflows, and model evaluation
• Strong software engineering fundamentals: clean pipeline/API design, version control, testing, and production deployment practices
• Comfortable working directly and iteratively with business users to translate ambiguous requirements into working systems (forward-deployed / embedded engineering style)
• Working understanding of data security, access control, and governance patterns for enterprise data platforms
• Clear technical communication — able to explain architecture, trade-offs, and status to both engineers and non-technical stakeholders
• Analytical mindset with a focus on measurable outcomes, performance, and ROI of what is built
• Bachelor's degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related field is required
• Minimum 7 years of hands-on experience in AI/ML engineering, data engineering, or forward-deployed/solutions engineering
• 2+ years of hands-on experience building and shipping LLM-based or generative AI applications (RAG, agents, tool-calling), and/or classical AI techniques such as natural-language processing, computer vision, or deep learning tools (PyTorch, TensorFlow, Hugging Face)
• Track record of shipping AI, automation, or data-platform systems into production in a corporate or investment environment, not just prototypes
• Advanced programming skills in Python required
• Solid project execution skills — able to scope, build, and ship independently with minimal oversight
• Bachelor's degree in Computer Science or a related field
• Advanced degree (Master's in Computer Science, Data Science, Software Engineering, MBA) preferred
• Demonstrated, production experience with Palantir Foundry is a plus (or a comparable platform such as Databricks or Snowflake) - pipeline building, ontology design, and security modeling
• Experience working directly with business or portfolio company teams in an embedded/consultative engineering capacity is a plus
• Experience in financial services, investment management, private equity, real estate, or other asset-intensive industries is preferred but not required
• SQL is a plus
• Hands-on experience with vendor evaluation and integration for AI tools and platforms
• Familiarity with data visualization tools such as Power BI or Tableau

Benefits

• Accion covers 65% of the medical, dental, and vision premiums for employees, their spouses, and dependent children enrolling in Accion-provided plans.

Company Overview

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