Role Description
Position Summary:
The Senior Forward Deployed AI Engineer is a hands-on engineering role responsible for rapidly delivering AI-driven solutions that improve ARCHER’s operations across core platforms and workflows. This role works directly with business stakeholders to identify, prototype, and deploy solutions using LLMs, agentic workflows, document intelligence, and enterprise integrations. The engineer operates in a highly iterative model, using AI-assisted development tools to deliver working solutions in days to weeks rather than traditional development cycles. The role spans Palantir Foundry/AIP, Microsoft Copilot Studio, Azure AI services, and AI-native tools such as Claude Code and CoWork, and plays a key part in expanding ARCHER’s MCP capabilities and AI platform architecture. Success requires strong engineering fundamentals, curiosity, and the ability to independently navigate systems, data, and ambiguity to produce measurable outcomes.
Position Location: Remote
Job Responsibilities:
Key Responsibilities:
- AI Solution Execution
- Design, prototype, and deploy AI-enabled solutions using LLMs, agents, and document workflows
- Build end-to-end solutions for operational use cases
- Iterate rapidly based on stakeholder feedback
- Platform & Tooling: Work across Palantir Foundry and AIP
- Build solutions using Copilot Studio and Power Platform
- Leverage Claude Code, Claude CoWork, and skill files
- Extend MCP capabilities and reusable components
- System Integration: Integrate Archer Connect, NetSuite, Jitbit, SharePoint
- Build APIs, orchestration layers, and automation workflows
- Use Case Development: Work directly with business stakeholders to identify opportunities
- Determine build approach: off-the-shelf, low-code, or custom AI
- AI-Native Delivery: Use rapid prototyping instead of spec-first development
- Define prompts, evaluation criteria, and guardrails
- Governance & Scaling: Apply security, access, and audit controls
- Enable citizen builders via reusable patterns
- Hybrid Delivery: Co-build with partners
- Transition solutions internally
KNOWLEDGE, SKILLS AND ABILITIES
Must Have:
- 5+ years building production software and/or AI-enabled solutions
- Experience with Palantir Foundry and/or AIP
- Experience with Copilot Studio and/or Power Platform
- Strong API and integration experience
- Experience with Claude Code, Cursor, or similar tools
- Experience with LLM workflows and agent-based systems
- Proficiency in Python, JavaScript/TypeScript, SQL
- Ability to work directly with business stakeholders
- Strong system design and integration skills
Preferred
- Experience with MCP or similar architectures
- Experience with Azure AI services
- Experience with RAG, embeddings, evaluation frameworks
- Experience with document intelligence workflows
- Portfolio of real-world AI applications
- WORK ENVIRONMENT
- Fast-paced, execution-focused environment
- Small, high-output teams
- Rapid iteration cycles
- Direct collaboration with business stakeholders
Benefits:
- 401(K) retirement plans with matching contributions.
- Comprehensive health insurance coverage.
- Dental and vision insurance plans.
- Parental leave to support work-life balance.
- Short-term and long-term disability coverage.
ABOUT ARCHER
ARCHER Systems is a leading technology-enabled legal services company that provides pre-settlement and post-settlement administration services for a single event, mass tort, and class action cases with the goal of helping claimants access their settlement proceeds more efficiently and quickly. The company plans to continue leveraging technology and top-tier talent to enhance customer service and offer new product lines and services.
ARCHER’s core offering is post-settlement Healthcare Lien Resolution Administration and QSF (Qualified Settlement Fund) Administration and payments processing for multi-claimant (mass tort and class action) litigation. Other services include claims administration, single event lien resolution, probate, and bankruptcy coordination, release administration, medical records review, plaintiff fact sheet, and other intake/census preparation and management. ARCHER enables law firms to focus on their litigation while ensuring that critical pre-settlement and post-settlement administration documents, services, business analytics, and reporting are handled efficiently and effectively.
Licenses & Certifications
Preferred* Python
Skills
Required* APIs
Preferred* Agile Software * Development * SQL * Python
Behaviors
Preferred* Innovative: Consistently introduces new ideas and demonstrates original thinking * Team Player: Works well as a member of a group
Motivations
Preferred* Goal Completion: Inspired to perform well by the completion of tasks * Ability to Make an Impact: Inspired to perform well by the ability to contribute to the success of a project or the organization
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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