Forward Deployed Engineer
About the role
Our client is a leading data analytics and technology consulting firm that partners with private equity firms and their portfolio companies to solve complex business challenges through AI, advanced analytics, and modern data engineering. Their teams design and deploy intelligent, agentic solutions that improve decision-making across functions including sales, operations, marketing, pricing, and customer strategy. This is a client-facing role with occasional travel to customer sites to support strategic engagements and solution delivery.
What We're Looking For
A successful Forward Deployed Engineer combines strong technical expertise with exceptional customer-facing experience, serving as the bridge between external stakeholders and engineering teams. The ideal candidate has partnered directly with clients to gather requirements, design technical solutions, manage expectations, and deliver software that solves real business problems. They are equally comfortable leading conversations with executives, business leaders, and technical teams, building trusted relationships while translating complex technical concepts into clear business outcomes. Rather than simply writing code, they take the time to understand a customer's business challenges, ask thoughtful questions, communicate technical tradeoffs, and move seamlessly between the boardroom and the codebase as both a trusted advisor and hands-on engineer.
What We Do
AI & Data Engineering — You have experience building data-intensive applications using modern engineering tools and frameworks.
Requirements
- 5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering, Solutions Engineering, or Forward Deployed Engineering.
- Demonstrated experience working directly with external customers, clients, or business stakeholders to define technical requirements and deliver software solutions.
- Experience leading customer discovery sessions, technical workshops, architecture discussions, or implementation engagements.
- Strong software engineering skills using Python and SQL.
- Experience building cloud-native applications, APIs, data pipelines, or AI-enabled solutions.
- Familiarity with modern AI technologies, including LLMs, Retrieval-Augmented Generation (RAG), AI agents, or agentic workflows is highly desirable.
- Ability to communicate effectively with both executive leadership and technical engineering teams.
- Willingness to travel to customer sites as needed.
Benefits
- Medical, dental, and vision insurance
- 401(k) retirement plan
- Paid time off and company holidays
- Paid parental leave
- Life and disability insurance
- Professional development and training opportunities
- Hybrid work flexibility (depending on the role)
- Performance-based bonus opportunities
Pay
$160,000 - $300,000 per year