CrossCountry Consulting

CFO-focused financial advisory, ESG, digital transformation

Forward Deployed Engineer & Agentic Workflow Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

At least 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 building multi-agent systems with LangChain/LangGraph, CrewAI, AutoGen, or equivalent frameworks, and understanding of agent-loop design, task planning, tool use, and memory management.
Proficiency in Python and TypeScript/JavaScript, with experience using FastAPI or an equivalent framework to expose agent capabilities as APIs.
Deep understanding of LLM capabilities and limitations, including prompt engineering, structured outputs, function calling, context-window management, cost optimization, and latency tradeoffs across frontier models.
Experience integrating enterprise source systems through APIs and MCP connectors.
Working knowledge of Azure, GCP, or AWS and containerization with Docker or Kubernetes; experience with vector databases such as Pinecone or Weaviate and RAG pipelines.
Finance domain fluency sufficient to understand and implement month-end close, variance analysis, revenue recognition, accounts receivable/payable, and FP&A workflows.
Ability to deliver working software in ambiguous, fast-moving client environments on compressed, high-stakes timelines.
Ability to communicate with technical and non-technical stakeholders and present live-agent demonstrations to CFOs and finance leadership.
Bachelor’s degree from an accredited university in computer science, software engineering, mathematics, or a related technical discipline.
Willingness to travel domestically up to 20%–40%, depending on the client engagement phase.
Availability for the hybrid option requires working on a client site or in an office 3 days a week and remotely 2 days a week.

Responsibilities

Deploy AI Jumpstart packages in client environments, configure data connectors, calibrate agent logic, and validate outputs against source-system controls within the first week of an engagement.
Architect and implement multi-agent orchestration workflows, including task decomposition, inter-agent messaging, tool-call schemas, and human-in-the-loop or human-on-the-loop checkpoints appropriate to workflow risk and materiality.
Write, version, and optimize system prompts and structured output schemas for LLM-powered agents; implement function-calling and tool-use patterns against financial APIs; and tune hybrid structured and retrieval-augmented generation strategies for accuracy and auditability.
Build and certify MCP connectors and REST/GraphQL integrations to ERP systems including NetSuite, SAP, and Oracle; EPM systems including Adaptive Planning and Anaplan; Salesforce; and Workday, ensuring data freshness, completeness, and reconciliation to source-system controls.
Package agents as containerized microservices using Docker, Kubernetes, or equivalent, and configure CI/CD pipelines, environment promotion from development through staging to production, monitoring, and alerting for reliable client-scale operation.
Work alongside client finance, IT, and data teams to translate business requirements into technical agent designs, facilitate working sessions, demonstrate working agents to executive stakeholders, and iterate based on feedback.
Instrument agents with deterministic logging, source citations, and control documentation so agent-generated outputs can be traced, validated, and presented to internal or external auditors.
Develop and implement firm-approved AI-enabled client solutions in accordance with company policies on data protection, intellectual property, and professional standards.
Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to improve client solutions and internal processes.
Develop reusable accelerators by contributing tested code, workflow templates, and connector certifications to the AI practice accelerator library.
Create delivery methodologies and service offerings that scale agentic solutions across clients and enterprise functions.
Mentor analysts and junior engineers on engagement teams, track and direct performance against objectives, and encourage continuous improvement and innovation.
Contribute to recruiting, proposal writing, and firm-wide AI innovation initiatives.

Desired Qualifications

Prior forward-deployed or client-embedded engineering experience is strongly preferred.
Familiarity with ERP, EPM, EDW/data lake, and CRM data schemas in a finance context is a significant plus.
Relevant certifications in cloud platforms such as Azure AI Engineer, AWS Machine Learning Specialty, or GCP Professional ML Engineer, LangChain, or equivalent agentic AI tooling are preferred.

CrossCountry Consulting is the transformation partner for the Office of the CFO. As a trusted advisor to Fortune 500 companies, emerging growth market leaders, and private equity sponsors, we combine deep domain expertise with the power of data, AI, and technology to modernize workflows, drive human-centered change, and maximize transaction value. Grounded in our Core Values, we are committed to solving today's most complex challenges while delivering a better experience for our clients, our people, and our communities. When you join CrossCountry, you become part of a team that believes in collaboration, generosity, and the drive to help our clients work smarter, build resiliency, and prepare for the future.

By joining our rapidly growing AI Innovation & Transformation practice you will serve as a trusted partner to our clients. You’ll bring your first-hand engineering experience, unique perspectives, and functional knowledge to design, deploy, and manage production-grade agentic AI solutions for the Office of the CFO and other enterprise functions. As a Forward Deployed Engineer & Agentic Workflow Engineer at CrossCountry Consulting you will be the tip of the spear for AI deployment at clients—embedding directly with client finance and operations teams to build, test, and iterate on agentic workflows that deliver measurable enterprise value on a compressed timeline. Operating at the intersection of software engineering, finance domain expertise, and client partnership, you will write production code alongside your clients, own the deployment of agentic solutions, and mentor junior engineers as a member of the practice team.

What You'll Do:

Client Delivery

Lead the development and delivery of services in the following areas:

Rapid Jumpstart deployment: Deploy AI Jumpstart packages within client environments, configuring data connectors, calibrating agent logic, and validating outputs against source system controls within the first week of engagement.
Agentic workflow design & build: Architect and implement multi-agent orchestration workflows using frameworks such as LangGraph, CrewAI, or AutoGen; design task decomposition, inter-agent messaging, tool-call schemas, and human-in-the-loop (HITL) / human-on-the-loop (HOTL) checkpoints appropriate to the risk and materiality of each workflow step.
LLM integration & prompt engineering: Write, version, and optimize system prompts and structured output schemas for LLM-powered agents; implement function-calling / tool-use patterns against financial APIs; and fine-tune retrieval strategies (hybrid structured + RAG) to maximize accuracy and auditability.
Enterprise system integration: Build and certify MCP connectors and REST/GraphQL integrations to ERP (NetSuite, SAP, Oracle), EPM (Adaptive Planning, Anaplan), CRM (Salesforce), and HRIS (Workday) systems, ensuring data freshness, completeness, and reconciliation to source-system controls.
Production deployment & reliability: Package agents as containerized microservices (Docker/Kubernetes or equivalent) and configure CI/CD pipelines, environment promotion (dev → staging → production), and monitoring/alerting so agents run reliably at client scale.
Client co-development: Work shoulder-to-shoulder with client finance, IT, and data teams; translate business requirements into technical agent design; facilitate working sessions; demonstrate working agents to executive stakeholders; and iterate rapidly based on feedback.
SOX & audit-readiness: Instrument agents with deterministic logging, source citations, and control documentation so every agent-generated output can be traced, validated, and presented to internal or external auditors.
Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards.
Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.

Practice Leadership

Serve as a key leader in the AI Innovation & Transformation practice by:

Developing reusable accelerators—contributing battle-tested code, workflow templates, and connector certifications back to the AI practice accelerator library to reduce deployment time on future engagements.
Creating new delivery methodologies and service offerings that scale agentic solutions across clients and enterprise functions.
Mentoring analysts and junior engineers on engagement teams, tracking and directing performance against objectives while encouraging continuous improvement and innovation.
Contributing to recruiting, proposal writing, and firm-wide AI innovation initiatives.

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

#LI-Remote

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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.

Benefits Summary

The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site: https://www.crosscountry-consulting.com/careers/benefits/.

Equal Employment Opportunity (EEO)

CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace.

As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.

About the Company

CrossCountry Consulting

CFO-focused financial advisory, ESG, digital transformation

CrossCountry Consulting provides tailored advisory services for finance leaders, primarily the office of the CFO, private equity sponsors, and other corporate executives. Its offerings cover digital transformation, transaction management, and ESG standards, delivered through bespoke consulting engagements that align with each client's long-term objectives. The firm works by partnering closely with client teams to diagnose issues, design strategies, and implement solutions, using a hands-on, collaborative approach. Compared with other financial consultancies, CrossCountry stands out through highly customized engagements, a people-first culture, and a clear focus on aligning work with the client's strategic goals. The goal is to help mid-sized and large enterprises navigate financial change, improve performance, and achieve their strategic targets.

Company size: 1,001-5,000
Company stage: Early VC
Total funding: $1.5M
Headquarters: Tysons, VA
Founded: 2011

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