Forward Deployed Engineer & Agentic Workflow Engineer
CrossCountry Consulting1 month ago
Base Salary
$150k - $285k/yr
Responsibilities
- Deploy AI Jumpstart packages by configuring data connectors, calibrating agent logic, and validating outputs against source-system controls.
- Architect and implement multi-agent workflows, including task decomposition, inter-agent messaging, tool-call schemas, and human oversight checkpoints.
- Develop and optimize prompts, structured output schemas, function-calling patterns, and retrieval strategies for LLM-powered agents.
- Build and certify MCP connectors and REST/GraphQL integrations with ERP, EPM, CRM, and HRIS systems.
- Package agents as containerized services, configure deployment pipelines and environment promotion, and implement monitoring and alerting.
- Work directly with client finance, IT, and data teams to translate requirements into agent designs, demonstrate solutions, and iterate on feedback.
- Implement deterministic logging, source citations, and control documentation for SOX and audit readiness.
- Create reusable code, workflow templates, connector certifications, delivery methodologies, and scalable service offerings.
- Mentor analysts and junior engineers and contribute to recruiting, proposal writing, and firm-wide AI innovation initiatives.
Requirements
- 5+ years of software engineering experience, including at least 2 years focused on AI/LLM application development, agentic systems, or intelligent automation.
- Hands-on production experience with multi-agent systems and frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or equivalent.
- Proficiency in Python and TypeScript or JavaScript, with experience using FastAPI or an equivalent API framework.
- Strong understanding of prompt engineering, structured outputs, function calling, context-window management, cost optimization, and latency tradeoffs.
- Experience integrating enterprise source systems through APIs and MCP connectors; finance-related ERP, EPM, EDW/data-lake, and CRM schema familiarity is preferred.
- Working knowledge of Azure, GCP, or AWS; Docker or Kubernetes; and vector databases such as Pinecone or Weaviate.
- Finance-domain fluency covering month-end close, variance analysis, revenue recognition, AR/AP, and FP&A.
- Ability to deliver working software in ambiguous, fast-moving, high-stakes client environments and communicate with technical and executive stakeholders.
- Bachelor’s degree in computer science, software engineering, mathematics, or a related technical discipline.
- Relevant certifications such as Azure AI Engineer, AWS Machine Learning Specialty, GCP Professional ML Engineer, LangChain, or equivalent agentic AI tooling are preferred.
- Willingness to travel domestically up to 20%–40%, depending on the engagement phase.
Benefits
- Medical, dental, and vision coverage.
- Flexible spending accounts, 401(k) with company matching, paid time off, and parental and maternity leave.
- Technology stipends, wellness reimbursement programs, and other comprehensive benefits.
- Hybrid work arrangement with availability to work on a client site or in an office 3 days per week and remotely 2 days per week; a remote environment is also described with domestic travel requirements.
- Applications are accepted through December 31, 2026.
Tech Stack
Categories
Forward Deployed
About CrossCountry Consulting
CrossCountry Consulting provides finance, accounting, risk, operations, and technology advisory services to large enterprises, growth companies, and private equity sponsors. Offerings include technical accounting and financial reporting, IPO and SPAC readiness, M&A support, ESG reporting, and human capital transformation. Headquartered in McLean, Virginia, the firm is privately held and owned by Investcorp, serving clients across the United States and select international locations.