Lead Forward Deployed Engineer

Weekday • Boston, MA

4d • Hybrid

About The Position

The Lead Forward Deployed Engineer leads the design and delivery of enterprise-grade AI and data solutions for complex industrial and manufacturing environments. The role combines data engineering, AI-driven automation, software development, and enterprise customer engagement to build mission-critical systems that improve manufacturing operations, strengthen supply chain visibility, and deliver measurable business outcomes.

This is a hands-on technical leadership role that works closely with senior leadership, enterprise customers, product, engineering, and customer teams. The Lead Forward Deployed Engineer leads deployments from scoping and solution design through implementation and production rollout; translates operational challenges into technical plans; and helps establish best practices, reusable frameworks, and standardized deployment methods. The role also helps formalize and scale the Forward Deployed Engineering function, mentors engineers, and contributes to building high-performing teams.

Requirements

• 5+ years of experience in Data Engineering, Software Engineering, Machine Learning, or Forward Deployed Engineering roles.
• Strong end-to-end data engineering expertise, including data ingestion, transformation, pipeline development, and production deployment.
• Hands-on proficiency in Python and SQL.
• Experience with modern data engineering tools and platforms such as Snowflake, dbt, Airflow, and AWS.
• Strong understanding of cloud-based architecture, scalable data pipelines, and production-grade data systems.
• Experience working with complex enterprise data environments, preferably involving ERP, supply chain, production, and manufacturing systems.
• Ability to design and deliver AI-powered solutions and automation workflows for real-world business challenges.
• Strong communication and stakeholder management skills, including the ability to engage confidently with enterprise customers and senior executives.
• Excellent business acumen and ability to connect technical solutions with measurable business outcomes.
• Proven experience leading initiatives, scaling technical functions, and managing high-performing teams.
• Ability to work autonomously and adapt quickly in fast-paced, evolving environments.

Nice To Haves

• Prior experience in customer-facing technical or enterprise solution delivery roles.
• Strong solution-framing capabilities, including converting customer requirements or operational challenges into clear execution plans.
• Experience working with AI tools and AI-assisted workflows for coding, research, analysis, writing, and productivity.
• Curiosity about emerging AI technologies and ability to adopt new tools and approaches to improve engineering efficiency.
• Strong systems-thinking capabilities and an ownership-driven approach to problem-solving and execution.
• Experience in manufacturing, aerospace, industrial operations, or supply chain technology environments.

Responsibilities

• Lead complex enterprise deployments from initial scoping and solution design through implementation and production rollout.
• Build, develop, and deploy production-grade AI and data systems using Java, Python, SQL, and cloud technologies.
• Design and implement modern data stacks, scalable data pipelines, and AI-powered agents to improve operational efficiency.
• Integrate enterprise systems such as ERP, MES, PLM, and other industrial technology platforms.
• Work directly with enterprise customers and senior stakeholders to understand operational challenges and define effective technical solutions.
• Translate ambiguous business and operational requirements into structured technical plans and execution strategies.
• Drive end-to-end delivery of AI-driven automation and data engineering initiatives.
• Ensure solutions are scalable, reliable, and aligned with customer requirements and business objectives.
• Establish engineering best practices, reusable frameworks, and standardized deployment methodologies.
• Help formalize and scale the Forward Deployed Engineering function.
• Collaborate with leadership, product, engineering, and customer teams to deliver measurable operational outcomes.
• Mentor engineers, provide technical direction, and contribute to building high-performing teams.

Benefits

• Meaningful equity participation and competitive, market-aligned compensation.
• Flexible hybrid working model with a focus on outcomes and ownership.
• Health, dental, and vision coverage.
• Learning and development budget to support continuous professional growth.
• Modern Miami office and remote flexibility.
• 401(k) with company match.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed