What You'll Bring
- 5+ years of software engineering experience with at least 2 years focused on AI/LLM application development, agentic systems, or intelligent automation; prior “forward deployed” or client embedded engineering experience strongly preferred.
- Hands-on production experience building multi-agent systems with LangChain/LangGraph, CrewAI, AutoGen, or equivalent frameworks; understanding of agent-loop design, task planning, tool-use, and memory management.
- Proficiency in Python (primary) and TypeScript/JavaScript; experience with FastAPI or equivalent for exposing agent capabilities as APIs.
- Deep understanding of LLM capabilities and limitations: prompt engineering, structured outputs, function calling, context-window management, cost optimization, and latency tradeoffs across frontier models.
- Experience integrating enterprise source systems via APIs and MCP connectors; familiarity with ERP, EPM, EDW/Data Lakes, and CRM data schemas in a finance context is a significant plus.
- Working knowledge of cloud data platforms (Azure, GCP, or AWS) and containerization (Docker, Kubernetes); experience with vector databases (Pinecone, Weaviate, or equivalent) and RAG pipelines.
- Finance domain fluency—ability to understand and implement workflows covering month-end close, variance analysis, revenue recognition, AR/AP, and FP&A without requiring extensive hand-holding from client finance teams.
- Exceptional ability to operate in ambiguous, fast-moving client environments; a demonstrated track record of delivering working software in compressed, high-stakes timelines.
- Clear, confident communication with both technical and non-technical stakeholders; ability to present live-agent demonstrations to CFOs and finance leadership.
- Continuous Learning Mindset: Openness to continuously learning and applying emerging LLM capabilities, agent frameworks, and enterprise integration patterns.
Qualifications
- Bachelor’s degree from an accredited university in computer science, software engineering, mathematics, or a related technical discipline.
- Relevant certifications in cloud platforms (Azure AI Engineer, AWS Machine Learning Specialty, GCP Professional ML Engineer), LangChain, or equivalent agentic AI tooling preferred.
- Remote environment – Willingness to travel domestically up to 20%–40% (varies by client engagement phase).
- Hybrid Environment – Availability to work on client site or in office 3 days a week, with 2 days remote
In accordance with applicable pay transparency laws, CrossCountry Consulting provides the following estimated compensation for this role. This position may be filled at either the Manager or Associate Director level. Level and final compensation will be determined based on a range of factors, including but not limited to skills, experience, education, licenses, certifications, business needs, internal equity, and work location.
Estimated base salary range
- Most U.S. locations: $150,000 – $250,000 per year
- New York City and San Francisco metro areas: $175,000 – $285,000 per year
This role is also eligible for an annual bonus. CrossCountry Consulting offers a comprehensive benefits package, including [medical, dental, and vision coverage; 401(k) with company match; paid time off; and parental leave].
Applications will be accepted through December 31, 2026.